DataKitchen TestGen vs Kestra
DataKitchen TestGen
datakitchen.io
Kestra
kestra.ioSide by side
| Figure | DataKitchen TestGen | Kestra |
|---|---|---|
| Price from | $100/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 4 |
| Spec score · DataOps Platforms | 9.2 (#1) | 8.6 (#6) |
| Deployment | TestGen is self-hosted inside the customer network using Docker Compose by default or Helm on Kubernetes for production. | Kestra can be self-hosted with Docker or Kubernetes, and Enterprise Edition also supports cloud, on-premises and air-gapped environments. |
| Licence | The core engine and open-source edition are licensed under Apache 2.0; Enterprise uses a DataKitchen subscription licence. | The open-source repository is licensed under Apache License 2.0. |
| Rating on G2 | 5.0 out of 5 from 1 review | 4.6 out of 5 from 24 reviews |
| Rating on GetApp | 0.0 out of 5 from 0 reviews | 0 out of 5 from 0 reviews |
| Security | The security documentation describes HTTPS support, AES-256-CBC encryption for database credentials at rest, and enterprise SSO through OpenID Connect. | Kestra Cloud advertises SOC 2 Type 1 and Type 2 and GDPR status through its linked Trust Center. |
| Support | The open-source plan includes community support, and Enterprise includes direct DataKitchen support and priority access to releases. | Enterprise Edition includes a customer success program and enterprise support with an SLA. |
| System requirements | Mac and Linux installation requires Python 3.9 or newer; Docker mode requires Docker 27 or newer and Compose 5.0 or newer. | The installation documentation specifies at least 2 vCPUs and 4 GiB of memory for correct operation. |
| What it does | TestGen profiles databases, generates data-quality tests, executes them, monitors tables and produces quality scores. | Kestra is an open-source orchestration platform for scheduled and event-driven data, AI, infrastructure and business workflows. |
Plans
Kestra
- Open SourceFree
- Enterprise EditionPriced on request
- Kestra CloudPriced on request
- Kestra CloudPriced on request
In their own words
DataKitchen TestGen
DataKitchen TestGen profiles databases, generates data quality tests, and shows results and quality scores in dashboards. Its listed checks include 55 profiling characteristics, 32 hygiene detector tests, and 49 test types, including generated tests, business rules, and custom SQL. Monitors cover freshness, volume, schema, and custom metrics, using predictive models to flag changes such as late arrivals and schema drift. Supported databases include Snowflake, Databricks SQL, Azure Synapse Analytics, Azure SQL Database, SQL Server, OneLake, BigQuery, Redshift, Aurora PostgreSQL, Oracle 12c and later, SAP HANA, PostgreSQL, and Salesforce Data 360. It can also profile and test structured data in Iceberg, Parquet, Avro, ORC, CSV, and JSON through supported external-table options. TestGen runs in the customer’s infrastructure; DataKitchen says it does not host the application or receive customer data. It queries target databases with read-only access and stores results and metadata in its application database. The free Open Source plan is limited to one user, one connection, and one project. Enterprise costs $100 a month, billed per user and per database connection.
Kestra
Kestra is a declarative orchestration platform for building, running, and governing workflows across an organization. Workflows, called flows, are defined in YAML and can combine tasks, dependencies, conditions, triggers, and runtime parameters. Execution controls include retries, failure policies, timeouts, concurrency limits, worker assignment, and log capture. Kestra advertises more than 2,000 plugins for connecting to external tools, with examples including Airbyte, AWS, Azure, BigQuery, dbt, Docker, GitHub, Kafka, Kubernetes, Slack, Snowflake, and Terraform. A flow can orchestrate SQL, Python, shell, APIs, Terraform, dbt, Spark, and custom tools. The platform includes an MCP server for AI agents and supports exposing flows as callable tools. Teams can self-host with Docker or Kubernetes; Enterprise Edition also supports cloud, on-premises, and air-gapped environments. Setup instructions cover macOS, Windows, and Linux, alongside web and API platforms. Kestra Cloud advertises up to two months free during team setup. The Open Source and Enterprise Edition plans have no price listed.