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Soda

Full company profile

uuid0000g5c

Namestring
Soda
Legal namestring
Soda Data Inc.
Websiteurl
soda.io
Company typeenum
Private
Founded yearint
2018
Descriptiontext

Soda is a Brussels-headquartered data quality and observability software company founded in 2018, serving enterprise data teams that need to monitor, validate, and remediate data pipelines at scale. The platform centers on Soda Core (open-source) for checks, Soda Cloud for collaboration and observability, and data contracts that codify producer-consumer data agreements. Architecture integrates with 60+ data sources including warehouses, lakes, and catalogs via check execution agents, exposing results through a unified observability layer. AI capabilities are differentiated: the company has published peer-reviewed research at NeurIPS, JAIR, and ACML in collaboration with INRIA, including TabICLv2 for tabular anomaly detection and proprietary validation metrics reported to reduce false positives by 70% versus Facebook Prophet. Newer AI-native products include Soda Cleanse (agentic AI for autonomous data remediation), Contract CoPilot/Autopilot for contract authoring, and an MCP endpoint positioning Soda within the agent tooling ecosystem.

The business model combines a free open-source tier, a Team plan at $750/month, and custom-priced Enterprise annual contracts, with a usage-based SPU (Scan Processing Unit) metering layer introduced for Soda Cleanse. Customer logos span gaming (2K Games), food delivery (HelloFresh), travel (CarTrawler), and insurance (Group 1001), indicating vertical diversification. Soda has raised approximately $31.5M across four disclosed rounds between 2019 and 2024, with lead investors including Point Nine Capital and Singular. The June 2025 acquisition of NannyML extends the company into ML model monitoring, and the company operates with 11-50 employees across Belgium and additional geographies.

Short descriptiontext

Soda (Brussels, founded 2018) provides AI-native data quality and observability software for enterprise data teams, with open-source Soda Core, contracts, agentic Soda Cleanse for remediation, and 60+ warehouse integrations.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersBrussels, Belgium
HQ citystring
Brussels
HQ countrystring
Belgium
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data quality platform, data observability, data contracts, AI data testing, anomaly detection software
Product category
Data Quality & Data Observability Software
Social media profiles1 record
GTM motion5 records

Each record includes

Type, Description, Source

Revenue model5 records
1Freemium tier
TypeFreemium
Description

Free tier with limited free Soda Processing Units (SPUs) including pipeline testing, metrics observability, alerting, and ticketing integrations; no credit card required, used as a self-serve funnel into paid plans.

soda.io
2Team subscription
TypeSubscription Recurring
Description

Team plan priced at $750 (per month context), includes collaborative data contracts, no-code interface, advanced AI-powered data quality features, audit logs, custom roles, RBAC, private deployment, SSO, and premium support.

soda.io
3Enterprise subscription
TypeSubscription Recurring
Description

Custom-priced Enterprise tier for business collaboration; annual billing and volume discounts available; bundles enterprise-grade governance, AI features, and premium support.

soda.io
4Soda Processing Units (SPU) overage
TypeUsage Based
Description

Usage-based pricing on additional SPUs beyond the free allowance on Team and Enterprise tiers; consumed when running data quality checks at scale.

soda.io
5Soda Cleanse add-on
TypeSubscription Recurring
Description

Soda Cleanse is an add-on to Soda Cloud (Enterprise plan) available in Private Preview; agentic data cleansing for entity normalization, imputation, deduplication, and reconciliation.

soda.io
Marketing channels10 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Pricing details4 tiers
1Free — $0/month with free SPUs
ModelFreemiumBilling cadenceMonthly
Notes

$0 per month; great for small projects; no credit card required; includes pipeline testing, metrics observability, alerting & ticketing integrations.

soda.io
2Team — $750 with collaborative data contracts
ModelSubscriptionBilling cadenceMonthly
Notes

$750 for data engineering teams; unlimited users; pay-as-you-go for additional SPUs; catalog integrations; add-ons available.

soda.io
3Enterprise — Custom pricing with full governance
ModelSubscriptionBilling cadenceAnnual
Notes

Custom pricing for business collaboration; includes collaborative data contracts, no-code interface, advanced AI features, audit logs, custom roles, RBAC, private deployment, SSO, premium support; annual billing and volume discounts available.

soda.io
4Soda Cleanse add-on (Enterprise)
ModelSubscriptionBilling cadenceAnnual
Notes

Add-on to Soda Cloud available in Private Preview; requires Soda 4.0 and the Diagnostics Warehouse on the Enterprise plan.

soda.io
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Soda provides an AI-native data quality platform that detects, explains, and resolves data issues across enterprise data pipelines. The platform combines Soda Core (open-source YAML/SodaCL testing engine) with Soda Cloud (hosted SaaS control plane) and Soda AI (proprietary AI capabilities), delivering data observability, collaborative data contracts, record-level anomaly detection, smart alerting, a Diagnostics Warehouse, and agentic data cleansing. The offering is sold as free, Team ($750), and custom Enterprise subscriptions, with usage-based Soda Processing Units (SPUs) and an add-on for Soda Cleanse agentic remediation.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • Metrics monitoring algorithms deliver 70% fewer false positives than Facebook Prophet and scale to 1B rows in 64 seconds
+4 more records
Product overview1 text field

Soda offers a unified, AI-native data quality platform delivered as Soda Cloud (hosted SaaS at cloud.soda.io), with Soda Core as the open-source code-based counterpart for engineers. The platform is organized as a set of interlocking modules that sit on a single shared contract and diagnostics foundation: Data Observability provides the metrics and record-level anomaly detection layer; Collaborative Data Contracts define executable expectations in code or UI; Smart Alerting routes accurate, owner-targeted incidents; Diagnostics Warehouse stores every failed record inside the customer's own environment; Lineage and Impact provides bi-directional catalog/governance integration; Pipeline Fixing shifts checks into CI/CD and orchestration; Soda AI layers Contract Autopilot, Contract Copilot, and the Soda MCP/CLI/API on top; and Soda Cleanse (Agentic Data Cleansing) extends the same contract-driven workflow into remediation through specialized AI agents. Together these modules cover detect–govern–alert–fix as one workflow, with Soda 4.0 as the current unified release.

Product and service10 records
1Soda AI
CategoryCore AI module
Description

AI layer for the Soda data quality platform that drafts and refines data contracts (Contract Autopilot and Contract Copilot), exposes an MCP/CLI/API for engineers and agents, and runs on metadata rather than raw rows. Underpinned by peer-reviewed research (NeurIPS, JAIR, ACML).

2Soda Cloud
CategoryCore SaaS platform
Description

Hosted SaaS platform (cloud.soda.io) bundling Data Observability, Data Contracts, Smart Alerting, Diagnostics Warehouse, Lineage, and the Soda Agent for engineers; base on which Soda AI and Soda Cleanse are layered.

3Soda Data Observability
4Collaborative Data Contracts
CategoryCore platform module
Description

Executable, version-controlled data contracts letting engineers work in Git and business users in the UI; Contracts Copilot turns plain-English rules into contract language and Contracts Autopilot derives contracts from production data.

5Smart Alerting
CategoryPlatform module
Description

AI-powered alerting that automatically routes accurate, contextual incident notifications to the right owner through Slack, Teams, Jira, ServiceNow, PagerDuty, or Opsgenie, reducing false positives.

6Diagnostics Warehouse (Record-Level Diagnostics)
CategoryPlatform module
Description

Captures and stores every failed record directly in the customer's own warehouse, providing queryable history for faster debugging and root-cause analysis without data leaving the environment.

7Lineage and Impact
CategoryPlatform module
Description

Bi-directional catalog and lineage integration that turns governance rules into executable data quality checks and feeds quality results back to catalog tools (Collibra, Atlan, Purview, Alation, etc.) for unified lineage visibility.

8Soda Cleanse (Agentic Data Cleansing)
CategoryAdd-on / remediation module
Description

Private-Preview add-on to Soda Cloud using specialized AI agents (entity normalization, imputation, deduplication, reconciliation) to detect bad records, generate fixes, and write corrections back to source after steward approval. Requires Soda 4.0 and Diagnostics Warehouse (Enterprise plan).

9Pipeline Fixing (Automated Pipeline Fixing)
CategoryPlatform module
Description

Shift-left data quality integrating Soda checks directly into development and CI/CD pipelines to detect schema changes, reconciliation mismatches, missing values, and anomalies before they reach production; routes fixes into operational workflows.

10Soda Core
CategoryOpen-source product
Description

Open-source, YAML/SodaCL-based data quality framework that engineers run as code in orchestration workflows (Airflow, Dagster, dbt); foundation for Soda Cloud deployments, used in Group 1001 and 2K Games stacks before upgrading to Soda Cloud.

Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership10 partners
Strategic tierMajorTypeStrategic or Co-development PartnerAnnounced on2025-06-09
Description

In June 2025, Brussels-based Soda acquired Leuven-based NannyML, an AI monitoring and observability company, to enhance its data quality platform by integrating NannyML's AI technology for detecting data issues, model performance, and data drift — supporting Soda's expansion into AI and ML infrastructure.

Strategic tierMajorTypeTechnology or Integration
Description

Collibra is listed as a data catalog integration on soda.io/integrations. Soda offers bi-directional sync with Collibra so governance teams can define policies in Collibra while Soda executes them as automated data quality checks and feeds quality results back for unified lineage visibility.

Strategic tierMajorTypeTechnology or Integration
Description

Atlan is listed as a data catalog integration. Soda bi-directionally syncs metadata and quality results with Atlan so users can see Soda's quality metrics within the Atlan catalog and link observability to data lineage, as demonstrated in Group 1001's deployment.

Strategic tierMajorTypeTechnology or Integration
Description

Slack is a primary alerting and collaboration integration; Smart Alerting automatically creates, assigns, and tracks incidents from failed checks in Slack so the right person is notified where they already work.

Strategic tierMajorTypeTechnology or Integration
Description

Apache Airflow is supported as an orchestration integration; Soda checks can be triggered from Airflow DAGs (as deployed by HelloFresh and CarTrawler) to validate pipelines and stop refreshes when data quality fails.

Strategic tierMajorTypeTechnology or Integration
Description

Snowflake is one of Soda's primary data sources; Group 1001 and CarTrawler run Soda checks directly against Snowflake for validation, reconciliation, and feature-store quality.

Strategic tierMajorTypeTechnology or Integration
Description

Databricks is supported as a core data source; 2K Games runs Soda observability across Databricks-hosted game telemetry pipelines alongside Snowflake.

Strategic tierMajorTypeTechnology or Integration
Description

AWS is listed as an infrastructure integration; Soda runs natively on AWS and supports running data quality checks against AWS-hosted data sources and warehouses.

Strategic tierMajorTypeTechnology or Integration
Description

Microsoft Azure is listed as an infrastructure integration; Soda supports Azure-hosted deployments and integration with Azure Active Directory for SSO.

Strategic tierMajorTypeTechnology or Integration
Description

Google Cloud Platform is listed as an infrastructure integration; Soda supports GCP-hosted deployments and integration with BigQuery.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Monte Carlo is a direct peer offering a data observability and reliability platform with anomaly detection, freshness, and schema monitoring; it competes head-to-head with Soda Data Observability for enterprise data team budgets.

TypeDirect peer
Description

Bigeye is a direct peer providing automated data quality monitoring, anomaly detection, and metrics across data warehouses; it targets the same data engineer and analytics buyer as Soda with a similar SaaS plus enterprise motion.

TypeDirect peer
Description

Great Expectations is a direct peer in the open-source data quality testing category alongside Soda Core, offering code-based expectation suites for pipelines; it competes for developer mindshare and feeds commercial offerings that overlap with Soda Cloud.

TypeDirect peer
Description

dbt Labs is a direct peer through dbt tests (its built-in data testing framework) and dbt Cloud, which compete with Soda Core/Cloud for the data transformation and quality layer of the modern data stack.

TypeEmerging player
Description

Datafold is an emerging player focused on data diffing, regression testing, and data observability for dbt and warehouse workflows; it overlaps with Soda's pipeline testing and data quality monitoring use cases for engineering-led teams.

TypeEmerging player
Description

Anomalo is an emerging player in automated data quality monitoring for warehouse tables with no-code configuration; it competes for the same data steward and data engineer personas as Soda Data Observability.

TypeBroad incumbent
Description

Datadog acquired Databand in 2022 to enter data observability, and offers broader infrastructure and APM monitoring with overlapping data quality and pipeline monitoring capabilities that compete with Soda for enterprise platform budgets.

TypeBroad incumbent
Description

Collibra is a broad incumbent in data governance and cataloging with bi-directional integration with Soda, but also competes indirectly by bundling data quality rules and stewardship workflows into its enterprise platform.

TypeEmerging player
Description

Atlan is an emerging player in the data catalog and governance space that bi-directionally integrates with Soda to surface quality results; it competes for the same governance and data steward buyer while partnering on quality execution.

TypeBroad incumbent
Description

Informatica is a broad incumbent offering enterprise data integration, data quality, and governance as part of a large platform; it competes with Soda in regulated enterprises where Informatica bundles data quality into its broader data management stack.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Customer concentration

Classification, Details

Named customers4 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment7 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration53 records

Each record includes

Title, Type, Description, Source

AI capability11 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles6 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries1 record

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

Compliance4 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors6 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A1 record

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Soda

Data Quality & Data Observability Softwaresoda.io

Soda (Brussels, founded 2018) provides AI-native data quality and observability software for enterprise data teams, with open-source Soda Core, contracts, agentic Soda Cleanse for remediation, and 60+ warehouse integrations.

What Soda does

Soda is a Brussels-headquartered data quality and observability software company founded in 2018, serving enterprise data teams that need to monitor, validate, and remediate data pipelines at scale. The platform centers on Soda Core (open-source) for checks, Soda Cloud for collaboration and observability, and data contracts that codify producer-consumer data agreements. Architecture integrates with 60+ data sources including warehouses, lakes, and catalogs via check execution agents, exposing results through a unified observability layer. AI capabilities are differentiated: the company has published peer-reviewed research at NeurIPS, JAIR, and ACML in collaboration with INRIA, including TabICLv2 for tabular anomaly detection and proprietary validation metrics reported to reduce false positives by 70% versus Facebook Prophet. Newer AI-native products include Soda Cleanse (agentic AI for autonomous data remediation), Contract CoPilot/Autopilot for contract authoring, and an MCP endpoint positioning Soda within the agent tooling ecosystem.

The business model combines a free open-source tier, a Team plan at $750/month, and custom-priced Enterprise annual contracts, with a usage-based SPU (Scan Processing Unit) metering layer introduced for Soda Cleanse. Customer logos span gaming (2K Games), food delivery (HelloFresh), travel (CarTrawler), and insurance (Group 1001), indicating vertical diversification. Soda has raised approximately $31.5M across four disclosed rounds between 2019 and 2024, with lead investors including Point Nine Capital and Singular. The June 2025 acquisition of NannyML extends the company into ML model monitoring, and the company operates with 11-50 employees across Belgium and additional geographies.

Soda firmographics

Firmographics
Name
Soda
Legal name
Soda Data Inc.
Website
https://soda.io
Company type
Private
Founded year
2018
Operating status
Operating
Headcount range
11–50 employees
Short description
Soda (Brussels, founded 2018) provides AI-native data quality and observability software for enterprise data teams, with open-source Soda Core, contracts, agentic Soda Cleanse for remediation, and 60+ warehouse integrations.
Ownership category
akta.pro rank

Where Soda is headquartered

Location

Headquarters

HQ city
Brussels
HQ country
Belgium
HQ region
Europe

Offices1 record

Markets served

Soda business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

  1. Freemium tier: Free tier with limited free Soda Processing Units (SPUs) including pipeline testing, metrics observability, alerting, and ticketing integrations; no credit card required, used as a self-serve funnel into paid plans.
  2. Team subscription: Team plan priced at $750 (per month context), includes collaborative data contracts, no-code interface, advanced AI-powered data quality features, audit logs, custom roles, RBAC, private deployment, SSO, and premium support.
  3. Enterprise subscription: Custom-priced Enterprise tier for business collaboration; annual billing and volume discounts available; bundles enterprise-grade governance, AI features, and premium support.
  4. Soda Processing Units (SPU) overage: Usage-based pricing on additional SPUs beyond the free allowance on Team and Enterprise tiers; consumed when running data quality checks at scale.
  5. Soda Cleanse add-on: Soda Cleanse is an add-on to Soda Cloud (Enterprise plan) available in Private Preview; agentic data cleansing for entity normalization, imputation, deduplication, and reconciliation.

Pricing tiers

ModelBillingPrice
FreemiumMonthlyFree — $0/month with free SPUs
SubscriptionMonthlyTeam — $750 with collaborative data contracts
SubscriptionAnnualEnterprise — Custom pricing with full governance
SubscriptionAnnualSoda Cleanse add-on (Enterprise)

Go-to-market motion5 records

Distribution channels5 records

Marketing channels10 records

Soda product offering

Product offering

Core offering

Soda provides an AI-native data quality platform that detects, explains, and resolves data issues across enterprise data pipelines. The platform combines Soda Core (open-source YAML/SodaCL testing engine) with Soda Cloud (hosted SaaS control plane) and Soda AI (proprietary AI capabilities), delivering data observability, collaborative data contracts, record-level anomaly detection, smart alerting, a Diagnostics Warehouse, and agentic data cleansing. The offering is sold as free, Team ($750), and custom Enterprise subscriptions, with usage-based Soda Processing Units (SPUs) and an add-on for Soda Cleanse agentic remediation.

Product overview

Soda offers a unified, AI-native data quality platform delivered as Soda Cloud (hosted SaaS at cloud.soda.io), with Soda Core as the open-source code-based counterpart for engineers. The platform is organized as a set of interlocking modules that sit on a single shared contract and diagnostics foundation: Data Observability provides the metrics and record-level anomaly detection layer; Collaborative Data Contracts define executable expectations in code or UI; Smart Alerting routes accurate, owner-targeted incidents; Diagnostics Warehouse stores every failed record inside the customer's own environment; Lineage and Impact provides bi-directional catalog/governance integration; Pipeline Fixing shifts checks into CI/CD and orchestration; Soda AI layers Contract Autopilot, Contract Copilot, and the Soda MCP/CLI/API on top; and Soda Cleanse (Agentic Data Cleansing) extends the same contract-driven workflow into remediation through specialized AI agents. Together these modules cover detect–govern–alert–fix as one workflow, with Soda 4.0 as the current unified release.

Differentiator

Problem solved

Functional benefit

Products and services

  • Soda AI AI layer for the Soda data quality platform that drafts and refines data contracts (Contract Autopilot and Contract Copilot), exposes an MCP/CLI/API for engineers and agents, and runs on metadata rather than raw rows. Underpinned by peer-reviewed research (NeurIPS, JAIR, ACML).
  • Soda Cloud Hosted SaaS platform (cloud.soda.io) bundling Data Observability, Data Contracts, Smart Alerting, Diagnostics Warehouse, Lineage, and the Soda Agent for engineers; base on which Soda AI and Soda Cleanse are layered.
  • Soda Data Observability
  • Collaborative Data Contracts Executable, version-controlled data contracts letting engineers work in Git and business users in the UI; Contracts Copilot turns plain-English rules into contract language and Contracts Autopilot derives contracts from production data.
  • Smart Alerting AI-powered alerting that automatically routes accurate, contextual incident notifications to the right owner through Slack, Teams, Jira, ServiceNow, PagerDuty, or Opsgenie, reducing false positives.
  • Diagnostics Warehouse (Record-Level Diagnostics) Captures and stores every failed record directly in the customer's own warehouse, providing queryable history for faster debugging and root-cause analysis without data leaving the environment.
  • Lineage and Impact Bi-directional catalog and lineage integration that turns governance rules into executable data quality checks and feeds quality results back to catalog tools (Collibra, Atlan, Purview, Alation, etc.) for unified lineage visibility.
  • Soda Cleanse (Agentic Data Cleansing) Private-Preview add-on to Soda Cloud using specialized AI agents (entity normalization, imputation, deduplication, reconciliation) to detect bad records, generate fixes, and write corrections back to source after steward approval. Requires Soda 4.0 and Diagnostics Warehouse (Enterprise plan).
  • Pipeline Fixing (Automated Pipeline Fixing) Shift-left data quality integrating Soda checks directly into development and CI/CD pipelines to detect schema changes, reconciliation mismatches, missing values, and anomalies before they reach production; routes fixes into operational workflows.
  • Soda Core Open-source, YAML/SodaCL-based data quality framework that engineers run as code in orchestration workflows (Airflow, Dagster, dbt); foundation for Soda Cloud deployments, used in Group 1001 and 2K Games stacks before upgrading to Soda Cloud.

Quantifiable outcome

  • Metrics monitoring algorithms deliver 70% fewer false positives than Facebook Prophet and scale to 1B rows in 64 seconds
  • +4 more outcomes

Companies that use Soda

Customer profile

Named customers4 records

Segments7 records

Ideal customer profiles5 records

Soda technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration53 records

AI capability11 records

Feature8 records

Soda partnerships and signals

Strategic signal

Partnerships

Ten partnerships are on record, tiered major.

  • NannyMLmajorStrategic or Co-development Partner · 9 June 2025In June 2025, Brussels-based Soda acquired Leuven-based NannyML, an AI monitoring and observability company, to enhance its data quality platform by integrating NannyML's AI technology for detecting data issues, model performance, and data drift — supporting Soda's expansion into AI and ML infrastructure.
  • CollibramajorTechnology or IntegrationCollibra is listed as a data catalog integration on soda.io/integrations. Soda offers bi-directional sync with Collibra so governance teams can define policies in Collibra while Soda executes them as automated data quality checks and feeds quality results back for unified lineage visibility.
  • AtlanmajorTechnology or IntegrationAtlan is listed as a data catalog integration. Soda bi-directionally syncs metadata and quality results with Atlan so users can see Soda's quality metrics within the Atlan catalog and link observability to data lineage, as demonstrated in Group 1001's deployment.
  • SlackmajorTechnology or IntegrationSlack is a primary alerting and collaboration integration; Smart Alerting automatically creates, assigns, and tracks incidents from failed checks in Slack so the right person is notified where they already work.
  • AirflowmajorTechnology or IntegrationApache Airflow is supported as an orchestration integration; Soda checks can be triggered from Airflow DAGs (as deployed by HelloFresh and CarTrawler) to validate pipelines and stop refreshes when data quality fails.
  • SnowflakemajorTechnology or IntegrationSnowflake is one of Soda's primary data sources; Group 1001 and CarTrawler run Soda checks directly against Snowflake for validation, reconciliation, and feature-store quality.
  • DatabricksmajorTechnology or IntegrationDatabricks is supported as a core data source; 2K Games runs Soda observability across Databricks-hosted game telemetry pipelines alongside Snowflake.
  • Amazon Web Services (AWS)majorTechnology or IntegrationAWS is listed as an infrastructure integration; Soda runs natively on AWS and supports running data quality checks against AWS-hosted data sources and warehouses.
  • Microsoft AzuremajorTechnology or IntegrationMicrosoft Azure is listed as an infrastructure integration; Soda supports Azure-hosted deployments and integration with Azure Active Directory for SSO.
  • Google Cloud Platform (GCP)majorTechnology or IntegrationGoogle Cloud Platform is listed as an infrastructure integration; Soda supports GCP-hosted deployments and integration with BigQuery.

Scale indicators8 records

Recent moves6 records

Expansion highlights6 records

Soda competitors and assessment

Company assessment

Direct peers

  • Monte Carlo Data: Monte Carlo is a direct peer offering a data observability and reliability platform with anomaly detection, freshness, and schema monitoring; it competes head-to-head with Soda Data Observability for enterprise data team budgets.
  • Bigeye: Bigeye is a direct peer providing automated data quality monitoring, anomaly detection, and metrics across data warehouses; it targets the same data engineer and analytics buyer as Soda with a similar SaaS plus enterprise motion.
  • Great Expectations: Great Expectations is a direct peer in the open-source data quality testing category alongside Soda Core, offering code-based expectation suites for pipelines; it competes for developer mindshare and feeds commercial offerings that overlap with Soda Cloud.
  • dbt Labs: dbt Labs is a direct peer through dbt tests (its built-in data testing framework) and dbt Cloud, which compete with Soda Core/Cloud for the data transformation and quality layer of the modern data stack.

Emerging players

  • Datafold: Datafold is an emerging player focused on data diffing, regression testing, and data observability for dbt and warehouse workflows; it overlaps with Soda's pipeline testing and data quality monitoring use cases for engineering-led teams.
  • Anomalo: Anomalo is an emerging player in automated data quality monitoring for warehouse tables with no-code configuration; it competes for the same data steward and data engineer personas as Soda Data Observability.
  • Atlan: Atlan is an emerging player in the data catalog and governance space that bi-directionally integrates with Soda to surface quality results; it competes for the same governance and data steward buyer while partnering on quality execution.

Broad incumbents

  • Datadog: Datadog acquired Databand in 2022 to enter data observability, and offers broader infrastructure and APM monitoring with overlapping data quality and pipeline monitoring capabilities that compete with Soda for enterprise platform budgets.
  • Collibra: Collibra is a broad incumbent in data governance and cataloging with bi-directional integration with Soda, but also competes indirectly by bundling data quality rules and stewardship workflows into its enterprise platform.
  • Informatica: Informatica is a broad incumbent offering enterprise data integration, data quality, and governance as part of a large platform; it competes with Soda in regulated enterprises where Informatica bundles data quality into its broader data management stack.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Customer concentration

Soda social profiles

Digital presence

Soda compliance and trust

Trust signal

Compliance4 records

Soda financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Soda leadership team

Management profile

Number of profiles

Profiles6 records

Soda subsidiaries and ownership

Company hierarchy

Subsidiaries1 record

Soda funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Soda M&A and investment

M&A and investment

M&A1 record

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Soda

What does Soda do?

Soda provides an AI-native data quality platform that detects, explains, and resolves data issues across enterprise data pipelines. The platform combines Soda Core (open-source YAML/SodaCL testing engine) with Soda Cloud (hosted SaaS control plane) and Soda AI (proprietary AI capabilities), delivering data observability, collaborative data contracts, record-level anomaly detection, smart alerting, a Diagnostics Warehouse, and agentic data cleansing. The offering is sold as free, Team ($750), and custom Enterprise subscriptions, with usage-based Soda Processing Units (SPUs) and an add-on for Soda Cleanse agentic remediation.

Is Soda a public or private company?

Soda is a private company. It is classified as venture growth investor backed and is currently operating.

When was Soda founded?

Soda was founded in 2018. It employs 11 to 50 people.

Where is Soda based?

Soda is headquartered in Brussels, Belgium, in the Europe region.

How does Soda make money?

Five revenue lines are on record. Freemium tier is the primary driver. The others are team subscription, enterprise subscription, soda Processing Units (SPU) overage and soda Cleanse add-on.

Who are Soda's main competitors?

Direct peers on record are Monte Carlo Data, Bigeye, Great Expectations and dbt Labs. Emerging players are Datafold, Anomalo and Atlan. Broad incumbents are Datadog, Collibra and Informatica.

Does Soda have an API?

Yes. Soda exposes a programmatic API, a CLI, and an MCP (Model Context Protocol) endpoint that allow engineers to drive Soda through code, automate data quality workflows across pipelines, and integrate with agents such as Claude, Codex, and Cursor. Contracts and quality status live in the UI and over MCP, CLI, and API so engineers, stewards, and AI agents work from the same definition of good data. Documentation is published at docs.soda.io. The MCP endpoint for the Soda Cleanse remediation workflow is on the roadmap. Developer documentation is at docs.soda.io.

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뉴스톱삼양그룹, ‘M&A 본능’ 깨워 스페셜티 해외로 확장 - 뉴스톱Samyang Group is expanding its specialty business globally through M&A, including a 2023 acquisition of US chemical firm Burden for about 334 billion won. It also plans to acquire Japanese fragrance firm Soda Aromatic in 2026 for about 390 billion won. The group aims to strengthen its specialty portfolio and accelerate overseas expansion.BasedashBest data observability tools compared 2026This article compares seven leading data observability platforms in 2026 — Monte Carlo, Anomalo, Metaplane, Soda, Bigeye, Great Expectations, and Basedash — evaluating them across detection approaches, integration coverage, alerting capabilities, deployment models, and pricing. The comparison highlights that organizations experience an average of 61 data incidents per month, with automated observability tools resolving incidents 4x faster than manual approaches, while pricing ranges from free open-source options (Great Expectations, Soda) to $60K+ annually for enterprise ML-driven platforms. Basedash, whose founder and CEO authored the article, positions its analytics-layer freshness and schema monitoring as a complementary alternative to dedicated pipeline observability tools, offering usage-based pricing starting free.BioAlpsFour Vaud-based Projects Awarded FIT Impact GrantsFour Vaud-based projects—FineTouch Academy, Phonemia, SODA, and TYTOdb—each received a CHF 10,000 grant from FIT's FIT Impact program. The initiatives address healthcare, education, and environmental monitoring, with FineTouch Academy improving surgical training and Phonemia using beatboxing for speech therapy.VenturesquareCream, approaching sales of 400 billion won, the largest ever... driven by category diversification and rapid growth of Japanese soda.Kream recorded 2025 combined revenue of 397.5 billion won, its all-time high, with EBITDA of 12.5 billion won. Sneaker share fell from 50% to 37%, while tech and other categories grew, and Japanese subsidiary SODA revenue rose 57% to 190.4 billion won.StartupHub.aiTabICLv2: Spreadsheets Meet AI's FutureSoda-Inria released TabICLv2, a tabular foundation model that uses in-context learning and a novel Query-Aware Scalable Softmax (QASSMax) attention mechanism to process millions of rows efficiently. The model was trained entirely on synthetic data and significantly outperforms tuned gradient-boosted decision trees and the closed-weights leader RealTabPFN-2.5 on benchmarks like TabArena and TALENT. With open-sourced weights and code, TabICLv2 aims to democratize advanced tabular machine learning, enabling users to achieve predictions from raw CSVs in seconds without hyperparameter tuning.SodaSoda Data Quality: Leverage Data Catalog and Lineage ToolsThe article is a promotional overview of Soda's data governance and quality tools, highlighting features like bi-directional integration with catalog systems and AI-driven rule conversion. It emphasizes how these capabilities allow business and engineering teams to operationalize data governance through automated checks and shared workflows.OvaledgeData Observability Tools: Top 10 Platforms to Evaluate in 2025This article presents a 2025 evaluation of ten leading data observability platforms, including OvalEdge, Monte Carlo, Acceldata, and Soda Cloud, highlighting their capabilities in monitoring data pipeline health and reliability. The guide emphasizes the strategic importance of these tools for ensuring data trust, enabling proactive anomaly detection, and supporting complex modern data stacks across cloud and hybrid environments. It provides a framework for organizations to assess vendors based on integration fit, alerting quality, and total cost of ownership.DatakitchenThe 2026 Open-Source Data Quality and Data Observability LandscapeThe article analyzes the 2026 landscape for open-source data quality and observability tools, arguing that traditional manual testing methods are insufficient for the speed and scale of modern AI systems. It highlights a shift towards automated solutions, specifically promoting DataKitchen's open-source DataOps TestGen and Observability tools as superior alternatives to legacy frameworks like Great Expectations and Soda Core. The piece emphasizes how these new tools utilize AI to generate tests and monitor pipelines, addressing the critical need for reliable data infrastructure in an era where bad data can severely impact business outcomes.DevsquadTop 10 Business Intelligence Startups [+ Industry Data]This article identifies and profiles ten business intelligence startups, including Aera Technology, Risika, and Soda, highlighting their specific technological focuses such as AI integration, data quality monitoring, and risk management. It outlines key industry trends driving these innovations, such as the democratization of data access, cloud-native solutions, and real-time analytics capabilities. Additionally, the piece suggests potential startup ideas in workforce optimization, retail forecasting, and data quality services to capitalize on market growth.LiliendahlAI – Liliendahl on Data QualityThe article discusses the evolution of data matching efficiency, categorizing tools from simple deterministic methods to AI-enabled solutions for managing duplicate records in master data. It highlights several emerging modern data quality tools, specifically profiling Soda.io, Digna, Monte Carlo, and Anomalo, while emphasizing Digna's AI-driven capabilities for automated rule definition and real-time monitoring. The content also touches on broader industry trends such as augmented data management, data ecosystems, and ESG integration.