Pricing
Simple, Predictable Pricing That Scales With Your Team
Every plan includes all core functionality. You only pay per user and connection — no per-table charges, no credit meters, no surprises.
Open Source
For individual data engineers
- All test types & profiling
- Unlimited tables & data volume
- Major cloud databases
- 1 user, 1 connection, 1 project
- Community support
Enterprise
For data teams
per user and per database connection
Everything in Open Source, plus:
- Unlimited users & connections
- Unlimited projects
- Proprietary database support
- Enterprise security & access
- Priority releases
- DataKitchen support
Open Source
For individual data engineers
- Data journey modeling & events
- Community integration agents
- 1 user, 1 project
- Self-hosted (on-prem)
- Community support
Enterprise
For data teams
per user and per agent
Everything in Open Source, plus:
- Unlimited users, projects & agents
- Single sign-on (SSO)
- Priority releases
- DataKitchen support
Cloud
Managed hosting
per user and per agent
Everything in Enterprise, plus:
- DataKitchen-hosted infrastructure
- Analytics reports
Enterprise
For data operations teams
Meta-orchestrate your entire data operation — pipelines, tools, teams, and environments. Available as SaaS, self-hosted, or hybrid deployment.
- Meta-orchestration across tools and teams
- Environment management (Kitchens)
- Automated CI/CD deployment
- Embedded testing & monitoring
- Enterprise governance & audit trails
Compare Features
| Open Source | Enterprise | |
|---|---|---|
| Core | ||
| Users | 1 | Unlimited ($100/user/mo) |
| Database Connections | 1 | Unlimited ($100/connection/mo) |
| Projects | 1 | Unlimited |
| Tables & Data Volumes | Unlimited | Unlimited |
| All Test Types | ||
| Security & Access | ||
| Role-Based Access Control | ||
| Single Sign-On (SSO) | ||
| PII Data Masking | ||
| Custom Branding | ||
| Database Support | ||
| Major Cloud Databases | ||
| Proprietary Databases | ||
| Deployment | ||
| Self-Hosted (On-Prem) | ||
| Kubernetes / Docker | ||
| Support & Licensing | ||
| Community Support | ||
| DataKitchen Support | ||
| Releases | Community | Priority |
| License | Apache 2.0 | DK Subscription |
| Open Source | Enterprise | Cloud | |
|---|---|---|---|
| Core | |||
| Users | 1 | Unlimited ($100/user/mo) | Unlimited ($150/user/mo) |
| Agents | Community | Unlimited ($100/agent/mo) | Unlimited ($150/agent/mo) |
| Projects | 1 | Unlimited | Unlimited |
| Security | |||
| Single Sign-On (SSO) | |||
| Deployment | |||
| Self-Hosted (On-Prem) | |||
| Cloud-Hosted | |||
| Kubernetes / Docker | Managed | ||
| Support & Licensing | |||
| Community Support | |||
| DataKitchen Support | |||
| Releases | Community | Priority | Priority |
| Analytics Reports | |||
| License | Apache 2.0 | DK Subscription | DK Subscription |
| Enterprise | |
|---|---|
| Orchestration | |
| Meta-orchestration (pipelines of pipelines) | |
| Universal tool integration (Snowflake, Databricks, BigQuery, etc.) | |
| Reusable pipeline components (Ingredients) | |
| Development & Deployment | |
| Isolated environment management (Kitchens) | |
| Automated CI/CD deployment | |
| Git-based version control with audit trails | |
| Quality & Governance | |
| Embedded testing at every pipeline step | |
| Process analytics & real-time monitoring | |
| Role-based access control & secrets management | |
| Deployment Options | |
| SaaS (DataKitchen-hosted) | |
| Self-hosted (on-premises) | |
| Hybrid |
How DataKitchen Compares
Monitoring cost per database connection, regardless of table count
| Tables Monitored | Typical Vendor | DataKitchen |
|---|---|---|
| 100 tables | $2,000 – $5,000/mo | $100/mo |
| 1,000 tables | $10,000 – $30,000/mo | $100/mo |
| 10,000 tables | "Enterprise Quote" | $100/mo |
Typical vendor pricing based on publicly available per-table and credit-based pricing models. DataKitchen cost shown per database connection.
Head-to-head against every major data quality and observability vendor.
No vendors match. .
Why Our Pricing Is Different
The One-Month Salary Principle
Enterprise data quality for a year should cost about one data engineer's monthly salary — not their annual salary. A team of 10 with 3 databases pays just $15,600/year.
No Perverse Incentives
Competitors charge per table or per credit, which punishes you for monitoring more data. We charge per user and connection — test every table in every database for the same price.
Bootstrapped & Profitable
We won't jack up prices to meet investors' demands. DataKitchen has been profitable and independent since 2013 — our success is your success.
Get Started With TestGen in Under 30 Minutes
Install
Download Docker Compose and install TestGen
Connect
Point TestGen at your primary database
Generate
Auto-generate profiling and hygiene tests for every table
Compare
See results alongside your current tool
Get Started With Observability in Under 5 Minutes
Deploy
Run the Observability container via Docker Compose
Connect
Point an integration agent at your tool (Airflow, Databricks, etc.)
Observe
See events flowing and model your first data journey
See Automation in Action
DataOps Automation deployments are tailored to your data operation. Request a demo to see how it works with your tools and team.
Comparing DataKitchen to other tools? See how TestGen stacks up against 50+ data quality vendors →
Pricing FAQ
Common questions about our pricing and plans.
What's included in the free open-source version?
The full feature set for 1 user and 1 connection or project. No feature gating — everything from data profiling and auto-generated tests to anomaly detection and quality scorecards is included. Open-source versions are Apache 2.0 licensed.
What does "unlimited tables and data volumes" mean?
Exactly what it says. Whether you have 100 tables or 10,000, the price is the same. We don't meter your data volume or charge per table. You pay only for users and connections.
How does your pricing compare to per-table or credit-based tools?
A mid-size team with 10 users and 3 database connections pays $15,600 per year with DataKitchen. Comparable tools that charge per table or per credit typically cost $120,000 to $360,000+ per year for the same data coverage.
Can I start with open source and upgrade to Enterprise?
Yes. Open source and Enterprise share the same core engine. Upgrading adds multi-user access, proprietary database support, and dedicated DataKitchen support. Your tests, profiles, and configuration carry over.
Do you offer volume discounts?
Yes, for large deployments with many users or connections. Contact us to discuss your needs.
Is there a free trial of the Enterprise version?
Contact us to arrange an Enterprise evaluation. You can also install the open-source version immediately to see the core capabilities in action.
What kind of support is included?
Open source includes community support via GitHub. Enterprise includes direct DataKitchen support with priority access to the latest releases.
Start Improving Your Data Quality Today
Install open-source TestGen in under 5 minutes, or request a demo of Enterprise.
See Every Data Journey, End to End
Install open-source Observability today, or request a demo of Enterprise.
Automate Your Data Operations
See how DataOps Automation can transform your team's productivity.