DataOps
DataOps.live is a DataOps automation platform that orchestrates CI/CD, testing, and governance for Snowflake data pipelines, serving data engineers and data leaders at enterprises including Roche, AstraZeneca, OneWeb, and National Grid via freemium and Snowflake-credit-based pricing.
- Company typePrivate
- Founded2018
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What DataOps does
DataOps.live, founded in 2018 and headquartered in London with a US entity in Delaware, operates a DataOps automation platform purpose-built for Snowflake's Data Cloud. The platform is built on a three-plane architecture separating a hosted Management Plane (SaaS for testing, observability, release, deployment), a customer-hosted Control Plane (secure orchestration runners), and a Data Plane operating against Snowflake and other data platforms. Core products include Dynamic Delivery (native CI/CD for Snowflake, distributed as a Snowflake Native App on the Marketplace), Dynamic Transformation (an AI-assisted layer over dbt Core), the Metis AI agent for autonomous pipeline validation and semantic model generation, AI-Ready Scoring for assessing data fitness for AI, and supporting modules for observability, data product delivery, and orchestration. Underlying technology includes the SOLE declarative compiler, the patented Gallium compression algorithm, and an MCP server exposing the platform to AI assistants. Six additional patent families were filed between 2025 and 2026 covering AI-driven data product construction, semantic understanding, and native apps.
The company monetizes through a freemium model providing 500 free minutes of test, dev, and production usage per month, transitioning to pay-as-you-go billing in Snowflake credits drawn from customers' existing Snowflake commitments, plus quote-based annual enterprise agreements. Distribution combines self-serve PLG (30-day free trial), Snowflake Marketplace Native App discovery, and enterprise field sales augmented by Snowflake's global co-sell motion. Target buyer personas span data engineers, database administrators, data product owners, and data leaders (CDAO, VP Data) at enterprise organizations; named customers include Roche, AstraZeneca, OneWeb, Eutelsat, National Grid, and DigiKey. The company raised $10.3M in seed funding (February 2022) led by Anthos Capital, $17.5M in Series A (May 2023) led by Notion Capital, and an undisclosed Snowflake Ventures follow-on (March 2025). DataOps.live announced in 2026 that it is joining FICO, a global analytics and decision intelligence company, which will fold the platform into FICO's broader analytics portfolio.
DataOps firmographics
Firmographics- Name
- DataOps
- Legal name
- DataOps.live Inc. (USA) / DataOps Software Limited (UK)
- Website
- https://dataops.live
- Company type
- Private
- Founded year
- 2018
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- DataOps.live is a DataOps automation platform that orchestrates CI/CD, testing, and governance for Snowflake data pipelines, serving data engineers and data leaders at enterprises including Roche, AstraZeneca, OneWeb, and National Grid via freemium and Snowflake-credit-based pricing.
- Ownership category
- akta.pro rank
DataOps industry classification
Industry- Product category
- DataOps Automation Software
- NAICS
- Computer Systems Design and Related Services (54151), Software Publishers (513210)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Data & Analytics Operations Outsourcing (DataOps / MLOps) (BPAEAMAH), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
Keywords
Where DataOps is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Offices2 records
Markets served
DataOps business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription with Snowflake Credits: Platform provided as subscription service hosted on AWS. Payment for usage beyond free tier (500 minutes/month) made with Snowflake credits from existing Snowflake account commitments.
- Usage-based Consumption: After consuming free tier allocation (500 minutes/month for test, dev, and prod per company), additional usage is billed on pay-as-you-go basis using Snowflake credits.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free Tier - 500 minutes per month |
| Usage-based | Pay-as-you-go | Paid Usage - Snowflake Credits |
| Subscription | Annual | Enterprise - Custom Pricing |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels8 records
DataOps product offering
Product offeringCore offering
DataOps.live sells a DataOps automation platform purpose-built for Snowflake that orchestrates CI/CD, automated testing, and governance across the data lifecycle. Customers use it to deploy data pipelines, transform data via dbt integration, observe data quality, and deliver AI-ready data products through Snowflake Native Apps delivered via the Snowflake Marketplace.
Product overview
DataOps.live is a DataOps automation platform (now part of FICO) that offers a unified platform-plus-modules architecture purpose-built for Snowflake. The core DataOps.live Automation Platform orchestrates CI/CD, testing, and governance to enable AI-ready data at scale. Key products include: Dynamic Delivery (Native CI/CD for Snowflake) for automated deployment of Snowflake objects; Dynamic Transformation (dbt Integration) for AI-assisted data transformations; Metis AI Agent for autonomous data engineering tasks and semantic model generation; DataOps Assist for generative AI-powered copilot capabilities; and DataOps.live Momentum for operationalizing Snowflake Intelligence. Supporting modules include Data Observability, Data Product Delivery, and Data Orchestration. The platform is delivered as Snowflake Native Apps via the Snowflake Marketplace and includes a free tier with 500 monthly minutes.
Differentiator
Problem solved
Functional benefit
Brands
- Momentum: The platform capability within DataOps.live that operationalizes delivery, governance, and CI/CD inside Snowflake. Momentum applies DataOps automation principles across the Snowflake ecosystem, automating data integration, testing, deployment, and governance.
- Metis
- Momentum
Products and services
- DataOps.live Automation Platform Unified platform that orchestrates CI/CD, testing, and governance to enable AI-ready data at scale on Snowflake. Embeds automation, testing, and governance into every stage of the data lifecycle.
- Dynamic Delivery (Native CI/CD for Snowflake) Automated CI/CD capability providing native Snowflake deployment with AI guidance, sandboxes, and policy validation. Delivered as a Snowflake Native App.
- Dynamic Transformation (dbt Integration) AI-assisted transformation layer built on dbt Core with separate dev/prod environments and feature branches for fearless pipeline experimentation.
- Metis AI Agent Autonomous AI data engineering agent that validates pipeline outputs, enforces governance controls, orchestrates production deployments, and generates semantic model YAML from natural language.
- DataOps.live Momentum Platform capability that operationalizes delivery, governance, and CI/CD inside Snowflake, with Metis AI agent integration and scale-out automation across all Data Products.
- DataOps.live Native Apps (Snowflake Marketplace) Snowflake Native Applications distributed via the Snowflake Marketplace, enabling in-account provisioning and direct activation within the Snowflake environment.
- 30-Day Free Trial (with 500 monthly free minutes) Self-serve activation of the DataOps.live Automation Platform in customer production or with a Snowflake trial account, including 500 free minutes per month for test, dev, and prod usage.
- Data Observability Continuous observability module that monitors data pipeline health, tracks data quality metrics, and prevents data downtime through automated monitoring and alerting.
- Data Product Delivery Module for packaging, delivering, and scaling reusable AI data products with automated CI/CD pipelines, infrastructure-as-code, testing, and data contracts.
- Data Orchestration Module for automated coordination of data pipeline processes, managing dependencies, scheduling jobs, and monitoring workflows with alerting for pipeline errors.
Quantifiable outcome
- 10X+ improvement in data engineering productivity
- +5 more outcomes
Companies that use DataOps
Customer profileNamed customers7 records
Segments4 records
Ideal customer profiles1 record
DataOps technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability9 records
Feature9 records
DataOps partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered flagship and core.
- SnowflakeflagshipSnowflake is both investor and primary technology partner. DataOps.live is purpose-built for Snowflake's Data Cloud with native CI/CD application, Snowflake Native Apps integration, and joint go-to-market through Snowflake's global ecosystem. Snowflake Ventures invested in 2025 to accelerate deployment of data engineering tools and support Snowflake's product roadmap.
- Amazon Web Services (AWS)coreInfrastructure provider for DataOps.live SaaS platform. Services are hosted on AWS infrastructure. AWS marketplace logo displayed indicating integration ecosystem.
- AWScorePartnership page lists AWS as alliance partner alongside Snowflake. Platform supports AIOps capabilities powered by AWS Bedrock for AI workload management.
- FICOflagshipDataOps.live announced joining FICO, a global leader in analytics, scoring, and intelligent decision-making. This acquisition positions DataOps.live as part of FICO's broader analytics ecosystem, enabling expansion of DataOps automation capabilities within enterprise decision intelligence.
Scale indicators9 records
Recent moves7 records
Expansion highlights5 records
DataOps competitors and assessment
Company assessmentDirect peers
- Monte Carlo: Monte Carlo is a data observability platform that provides automated data quality monitoring, anomaly detection, and pipeline reliability. It directly competes with DataOps.live's Data Observability and pipeline testing capabilities, particularly for Snowflake customers.
- Soda: Soda provides data reliability and observability tools including automated data testing, quality monitoring, and data contracts. It competes directly with DataOps.live's automated testing and pipeline observability modules in the modern data stack.
- Bigeye: Bigeye is a data observability platform offering automated data quality monitoring, freshness checks, and anomaly detection across cloud data warehouses. It overlaps with DataOps.live's Data Observability module for Snowflake and other warehouse customers.
- Great Expectations: Great Expectations is an open-source data quality and testing framework used for data pipeline validation and documentation. It competes with DataOps.live's automated testing and data quality enforcement features.
- Datafold: Datafold provides data testing, observability, and automated regression detection for modern data warehouses. It overlaps with DataOps.live's CI/CD for data and pipeline quality validation capabilities.
- dbt Labs: dbt Labs is the developer of dbt, the data transformation standard used by DataOps.live in its Dynamic Transformation product. While currently a technology partner, dbt's own testing, CI/CD, and observability roadmap directly overlaps with DataOps.live's value proposition.
Emerging players
- Alation: Alation is a data catalog and governance platform with data quality, lineage, and stewardship capabilities. It overlaps with DataOps.live's governance and automated policy enforcement features, particularly for enterprises seeking centralized data governance.
- Atlan: Atlan is a modern data catalog and collaboration platform with active metadata, governance, and data quality features. It is an emerging player overlapping with DataOps.live's governance and data product capabilities for cloud-native data teams.
Broad incumbents
- Collibra: Collibra is an established data intelligence platform offering data catalog, governance, and quality solutions. It serves as a broader incumbent competing with DataOps.live's automated governance and data product delivery modules.
- Informatica: Informatica is a large enterprise data integration and governance platform with data quality, MDM, and pipeline automation. It competes as a broad incumbent in data governance and pipeline management that DataOps.live targets with automation.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks5 records
Key highlights6 records
Customer concentration
DataOps social profiles
Digital presenceDataOps compliance and trust
Trust signalCompliance3 records
DataOps financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataOps leadership team
Management profileNumber of profiles
Profiles7 records
DataOps funding detail
Funding detailFunding overview
Funding rounds3 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataOps M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about DataOps
What does DataOps do?
DataOps.live sells a DataOps automation platform purpose-built for Snowflake that orchestrates CI/CD, automated testing, and governance across the data lifecycle. Customers use it to deploy data pipelines, transform data via dbt integration, observe data quality, and deliver AI-ready data products through Snowflake Native Apps delivered via the Snowflake Marketplace.
Is DataOps a public or private company?
DataOps is a private company. It is classified as corporate owned and is currently acquired.
When was DataOps founded?
DataOps was founded in 2018. It employs 11 to 50 people.
Where is DataOps based?
DataOps is headquartered in London, United Kingdom, in the Europe region.
How does DataOps make money?
Two revenue lines are on record. SaaS Subscription with Snowflake Credits are the primary driver. The others are usage-based Consumption.
Who are DataOps's main competitors?
Direct peers on record are Monte Carlo, Soda, Bigeye, Great Expectations, Datafold and dbt Labs. Emerging players are Alation and Atlan. Broad incumbents are Collibra and Informatica.
Does DataOps have an API?
Yes. DataOps.live provides a public API for administration and integration purposes. The API is accessible via a session-based authentication mechanism (using __gitlab_session cookie). The documentation is available at /docs/api-docs/. Webhook functionality is available, with webhooks developed for Snowflake and made available on GitHub to support the Snowflake community. Additionally, an MCP (Model Context Protocol) server is offered for AI-assisted interactions. Developer documentation is at docs.dataops.live/docs/api-docs.
What industry is DataOps in?
DataOps's product category is DataOps Automation Software. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of BPAEAMAH, Data & Analytics Operations Outsourcing (DataOps / MLOps). Its NAICS code is 54151 and its SIC code is 7370.