Agile Data Engine
Agile Data Engine is a Helsinki-based DataOps platform that uses metadata-driven automation to generate SQL and orchestrate cloud data warehouses on Snowflake, Databricks, BigQuery, and Azure, serving enterprise data teams primarily across Nordics and EMEA, and recently augmented by an AI-powered metadata agent.
- Company typePrivate
- Founded2016
- HeadquartersHelsinki, Finland
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Agile Data Engine does
Agile Data Engine (legally ADE Insights Oy) is a Helsinki-based, privately held DataOps platform provider, founded around 2016-2017 and operating as a strategic entity within the Solita Group since its founding era. The company's core product is a metadata-driven low-code platform that generates SQL, orchestration code, and CI/CD deployments deterministically from structured metadata definitions, supporting cloud data warehouses across Snowflake, Databricks, BigQuery, Redshift, and Azure SQL. The platform unifies data modeling, orchestration, monitoring, and deployment in a single system, with built-in Data Vault 2.0 automation, role-based access control, and multi-environment management for enterprise deployment.
The company generates revenue through enterprise SaaS subscriptions (quote-based, annual contracts, available as SaaS, AWS, Azure, or Private editions), professional services for implementation and consulting, and a training and certification program that has produced 500+ certified data engineers. Distribution combines direct enterprise sales, an implementation partner network led by Solita Group, and joint go-to-market with Databricks and Snowflake as 'Built On' partners. The customer base of 16+ named enterprise logos spans retail, financial services, energy, telecom, healthcare, logistics, and government across Nordics and EMEA — with a notable concentration in Finnish enterprises such as Kesko, Neste, Fortum, KEHA Centre, and DNA.
In 2026, the company launched Agile Data Agent (ADA), an AI-powered CLI toolkit that uses composable agent skills to bridge AI coding assistants (GitHub Copilot, Claude Code) with the ADE platform, enabling natural language-driven metadata generation. The complementary MCP Server exposes ADE metadata and runtime diagnostics to AI agents via the Model Context Protocol standard. The company reports 97%+ customer satisfaction across the Nordics and employs 11-50 staff.
Agile Data Engine firmographics
Firmographics- Name
- Agile Data Engine
- Legal name
- ADE Insights Oy
- Website
- https://agiledataengine.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Agile Data Engine is a Helsinki-based DataOps platform that uses metadata-driven automation to generate SQL and orchestrate cloud data warehouses on Snowflake, Databricks, BigQuery, and Azure, serving enterprise data teams primarily across Nordics and EMEA, and recently augmented by an AI-powered metadata agent.
- Ownership category
- akta.pro rank
Agile Data Engine industry classification
Industry- Product category
- Cloud Data Warehouse Automation
- NAICS
- Software Publishers (513210), Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
Keywords
Where Agile Data Engine is headquartered
LocationHeadquarters
- HQ city
- Helsinki
- HQ country
- Finland
- HQ region
- Europe
Offices2 records
Markets served
Agile Data Engine business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscription: Core revenue from SaaS platform subscription for Agile Data Engine. Customers pay for access to the metadata-driven DataOps platform with support for multiple cloud data warehouses. Pricing is quote-based and enterprise-focused.
- Professional Services: Implementation services, expert consulting, and Well-Designed Review offerings for customers needing assistance with platform deployment, data modeling, and DataOps practices.
- Training and Certifications: Revenue from ADE Basic Training and Advanced Training programs, certifications for data engineers. Training programs include Agile Data Engine for Data Engineers and advanced crash courses.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS Platform |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels7 records
Agile Data Engine product offering
Product offeringCore offering
Agile Data Engine is a metadata-driven, low-code DataOps platform that automates the design, deployment, and operation of cloud data warehouses. Customers define data products as structured metadata (entities, attributes, keys, relationships, transformations), and the platform deterministically generates SQL, orchestration code, and CI/CD deployments across Snowflake, Databricks, BigQuery, Redshift, and Azure SQL. The offering is complemented by Agile Data Agent (ADA) — an AI-powered CLI toolkit that lets developers generate metadata via natural language prompts — plus professional services, expert consulting, and a certification training program for data engineers.
Product overview
Agile Data Engine is a metadata-driven, low-code DataOps platform for cloud data warehouses. The core product (Agile Data Engine/ADE) unifies data modeling, orchestration, and monitoring through structured metadata that generates SQL deterministically. Key modules include Data Warehouse Automation, Data Product Framework, and Platform & DataOps Insights. The platform's AI layer centers on Agile Data Agent (ADA) - a CLI toolkit with composable skills that enables AI coding assistants (GitHub Copilot, Claude Code) to generate metadata from natural language prompts. Supporting infrastructure includes MCP Server for AI integration and a comprehensive External API (REST/GraphQL). ADE supports multi-cloud deployments across AWS, Azure, GCP with native connections to Snowflake, Databricks, BigQuery, and Redshift. Professional Services including training and consulting complement the platform.
Differentiator
Problem solved
Functional benefit
Brands
- Agile Data Agent (ADA): AI-powered data warehouse automation for Agile Data Engine. ADA combines a CLI toolkit with composable AI agent skills to help teams design, build, and manage data warehouse layers.
Products and services
- Agile Data Engine (ADE) Metadata-driven, low-code DataOps platform that automates the design, deployment, and operation of cloud data warehouses. Generates SQL, orchestration, and CI/CD deployments deterministically from structured metadata definitions across Snowflake, Databricks, BigQuery, Redshift, and Azure SQL.
- Agile Data Agent (ADA) AI-powered data warehouse automation toolkit that combines a CLI (ada CLI) with composable agent skills for data modeling workflows. Bridges AI coding assistants (GitHub Copilot, Claude Code) with ADE to enable natural language-driven metadata generation for staging, Data Vault, and publish layers.
- External API REST and GraphQL APIs for bidirectional entity synchronization, package management, deployment, and runtime operations on the ADE platform. Supports YAML entity formats, GraphQL metadata queries, and DAG orchestration via API key authentication.
- Professional Services Implementation, consulting, and training services for customers deploying ADE, including the Well-Designed Review offering for platform design assurance.
- Expert Consulting Expert-level consulting services for data platform architecture and ADE implementation, providing strategic guidance for enterprise customers.
- Trainings & Certifications Training programs including 'Agile Data Engine for Data Engineers' (ADE Basic Training) and Advanced Training crash courses, plus formal certifications for ADE practitioners.
Quantifiable outcome
- 10x higher productivity for data teams
- +6 more outcomes
Companies that use Agile Data Engine
Customer profileNamed customers16 records
Segments3 records
Ideal customer profiles3 records
Agile Data Engine technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability6 records
Feature6 records
Agile Data Engine partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and flagship.
- Solita GroupcoreSolita is a strategic implementation partner and parent company for ADE Insights Oy. Provides expert consulting services, implementation support, and houses practitioners like Markus Heiskanen who use ADE for customer projects. Data Warehouse Architect and Tech Lead roles at Solita work with ADE across Databricks, Snowflake, and Azure.
- DatabricksflagshipDatabricks is a 'Built On' partner of Agile Data Engine. ADE supports Databricks as a target data platform for data lakehouse operations. Joint presence at ADE Summit 2025 as sponsor. Integration enables medallion architecture and Delta Lake support.
- SnowflakeflagshipADE was the first vendor in Finland to build on Snowflake's platform (launched 2017). Strong partnership with joint presence at ADE Summit 2025 as sponsor. ADE supports Snowflake as primary target data warehouse with full feature support including STORAGE INTEGRATION options.
- Implementation Partners NetworkcoreNetwork of implementation partners providing consulting and deployment services for ADE customers. Dedicated partner program page at /partners with information about partnership benefits and implementation partner tier.
Scale indicators4 records
Recent moves5 records
Expansion highlights6 records
Agile Data Engine competitors and assessment
Company assessmentDirect peers
- dbt Labs: Developer of dbt (data build tool), the leading open-source data transformation and modeling framework for cloud warehouses. Directly competes with ADE in the data transformation / DataOps layer for Snowflake, Databricks, BigQuery, and Redshift.
- Coalesce: Data warehouse transformation automation platform with column-aware, metadata-driven development for Snowflake and Databricks. Closest direct competitor to ADE in the metadata-driven warehouse automation category.
- WhereScape: Data warehouse automation software vendor with IDE-style tooling for designing, developing, and operating data warehouses. Comparable legacy/incumbent in the same DW automation space as ADE.
- Vaultspeed: Data Vault 2.0 automation specialist offering metadata-driven generation of Data Vault models. Highly comparable to ADE's Data Vault automation module with overlapping target customer.
Broad incumbents
- Databricks: Lakehouse platform vendor that ADE integrates with as a 'Built On' partner. Represents a broader incumbent whose native DLT (Delta Live Tables) and Unity Catalog overlap with ADE's metadata and orchestration layers.
- Snowflake: Cloud data warehouse platform that ADE has been built on since 2017. As a flagship partner Snowflake could increasingly bundle metadata-driven automation capabilities natively, posing both distribution and competitive risk to ADE.
Emerging players
- Alation: Data catalog and metadata management platform focused on governance and discovery. Adjacent to ADE's metadata layer with partial overlap on data product documentation and lineage.
- Collibra: Enterprise data intelligence and governance platform. Adjacent competitor in the metadata and data governance layer, typically serving the same CDO buyer as ADE.
- Dataform: Open-source SQL-based data transformation framework, now part of Google Cloud (as BigQuery data canvas). Competes with ADE on SQLX-based transformations in the Google Cloud ecosystem.
Others
- Monte Carlo: Data observability platform that complements rather than directly competes with ADE. Often deployed alongside ADE in enterprise data stacks, representing an adjacent ecosystem participant.
Market position
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Agile Data Engine social profiles
Digital presenceAgile Data Engine compliance and trust
Trust signalCompliance1 record
Agile Data Engine financial estimates
Financial estimateRevenue estimate
Valuation estimate
Agile Data Engine leadership team
Management profileNumber of profiles
Profiles5 records
Agile Data Engine funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Agile Data Engine 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 Agile Data Engine
What does Agile Data Engine do?
Agile Data Engine is a metadata-driven, low-code DataOps platform that automates the design, deployment, and operation of cloud data warehouses. Customers define data products as structured metadata (entities, attributes, keys, relationships, transformations), and the platform deterministically generates SQL, orchestration code, and CI/CD deployments across Snowflake, Databricks, BigQuery, Redshift, and Azure SQL. The offering is complemented by Agile Data Agent (ADA) — an AI-powered CLI toolkit that lets developers generate metadata via natural language prompts — plus professional services, expert consulting, and a certification training program for data engineers.
Is Agile Data Engine a public or private company?
Agile Data Engine is a private company. It is classified as corporate owned and is currently operating.
When was Agile Data Engine founded?
Agile Data Engine was founded in 2016. It employs 11 to 50 people.
Where is Agile Data Engine based?
Agile Data Engine is headquartered in Helsinki, Finland, in the Europe region.
How does Agile Data Engine make money?
Three revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are professional Services and training and Certifications.
Who are Agile Data Engine's main competitors?
Direct peers on record are dbt Labs, Coalesce, WhereScape and Vaultspeed. Broad incumbents are Databricks and Snowflake. Emerging players are Alation, Collibra and Dataform. Monte Carlo is listed as an others.
Does Agile Data Engine have an API?
Yes. ADE provides a comprehensive External API for design and runtime operations. Design Environment APIs include: metadata/v1/entities/formats/yaml (GET/POST for YAML entity fetch/push), metadata/v1/packages/formats/json (GET/POST for config packages), metadata/v1/graphql (GraphQL for package discovery and entity metadata enrichment), code/v1/preview (GET for SQL code preview), deployment/v1/commits (POST for commits), and pingpong/v1 (GET for connectivity). Runtime Environment APIs include: dagger/v2/dags/*/dag-runs (GET/POST for DAG triggers and status), metadata/v1/graphql. Authentication uses API keys via Admin UI with role-based authorization rules. Developer documentation is at docs.agiledataengine.com/docs/external-api-saas.
What industry is Agile Data Engine in?
Agile Data Engine's product category is Cloud Data Warehouse Automation. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDAEABAJ, Metadata, Catalog & Semantic Layer for Data Platforms. Its NAICS code is 513210 and its SIC code is 7372.