Automated Data Quality Testing

DataOps Data Quality TestGen

Auto-generated data quality tests. Full coverage in minutes, not months. No artificial limits. No six-figure platform fees.

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TestGen dashboard

See TestGen in Action

How TestGen Works

Up and running in minutes, not months

Connect

Point TestGen at your database: Snowflake, Databricks, Azure Synapse, SQL Server, and more. No data leaves your environment.

Scan

TestGen profiles your data and auto-generates the tests. No coding, no YAML, no manual configuration.

Monitor

See results in dashboards, drill into issues, track quality scores over time. Get alerted when something changes.

55

Data Profiling Column Characteristics

34

Auto-Generated Data Tests

32

Hygiene Detector Tests

8+

Business Rule & Custom Tests

Key Capabilities

AI-Generated Tests

Point TestGen at your data and it generates the tests automatically. Profiling, validation, and execution included. No coding or YAML configuration required.

AI-Generated Tests

Data Profiling

Periodic X-ray of every table and column in your database. 55 column characteristics analyzed, stored, and available for review and downstream rules derivation.

Data Profiling

Hygiene Detection

Automatically confirm how closely data structures and assumptions match actual column contents. Identify problem rows before they reach production.

Hygiene Detection

Anomaly Detection

Four monitor types: freshness, volume, schema, and custom metrics. Predictive models learn what your data usually looks like and flag late arrivals, row count swings, schema drift, and metric anomalies before they reach downstream consumers.

Anomaly Detection

Data Catalog

Every table's metadata in one place. See profile results, hygiene issues, test results, PII identification, and Critical Data Element tagging.

Data Catalog

Quality Scoring

Configurable dashboards and scorecards based on DAMA categories, Critical Data Elements, specific model requirements, or current business goals.

Quality Scoring

Works with your data stack

No Code. No YAML. No Python.

Other data quality tools make you write and maintain tests in SQL, Python, or YAML. TestGen generates them automatically from your data. You fix problems instead of writing test code.

No Code. No YAML. No Python.

Why Teams Choose TestGen

You Don't Have Time to Write Tests. TestGen Does It Automatically.

You're buried in customer requests. You have no time to write tests, let alone innovate. TestGen scans your data and generates the tests and anomaly detectors for you. No coding, no massive YAML configuration.

Open Source with Reasonable Enterprise Pricing

Enterprise pricing is a flat $100 per month per user and database connection, with unlimited tables and data volume. No per-table tax. A year of enterprise data quality costs roughly one data engineer's monthly salary.

131 Automated Quality Checks Out of the Box

55 Data Profiling Column Characteristics, 34 Auto-Generated Data Tests, 32 Data Hygiene Detector Tests, 8 Business Rule Data Tests, and 2 User-Created Custom Tests. Every one of them runs on data you already have.

Multiple Layers of Protection

TestGen combines automated testing with continuous monitoring to catch problems at every level.

Auto-Generated Tests

These 34 test types cast a wide net for unpredictable data problems. Like a burglar alarm with sensors at every entrance, they detect average shifts, truncation, value changes, and anomalies that targeted testing would miss. TestGen generates them automatically from your data profile.

Hygiene Detection

Does your data actually match what it claims to be? Are zip codes formatted correctly? Are there hidden blanks, mixed data types, or dates stored as strings? 32 hygiene detectors surface the things that quietly break downstream numbers.

Business Rule & Custom SQL Tests

These validate domain-specific logic that can’t be inferred from the data alone. Use custom conditions for row-level rules or write full custom SQL queries for complex joins and cross-table validation.

Continuous Monitoring

Four monitor types run alongside your tests: freshness (did the data arrive on time?), volume (are row counts within expected bounds?), schema (did columns change?), and custom metrics (are your key aggregates behaving normally?). Predictive models learn your data’s patterns and improve with each run, so you get alerted to real issues, not transient noise.

Learn More

Frequently Asked Questions

Common questions about DataOps Data Quality TestGen

What databases does TestGen support?

Snowflake, Databricks, Azure Synapse, Azure SQL, SQL Server, BigQuery, Redshift, Oracle, SAP HANA, and PostgreSQL. All databases are supported in both open source and enterprise. TestGen also works with file-based data (Parquet, Avro, ORC, CSV, JSON) through external table formats like Iceberg, Redshift Spectrum, and Snowflake external tables.

Does TestGen work with file-based data?

Yes. TestGen supports structured file formats including Parquet, Avro, ORC, CSV, and JSON through external table formats. If your data warehouse can expose files as external tables (e.g., Apache Iceberg, Redshift Spectrum, Snowflake external tables), TestGen can profile and test them.

Can I write custom SQL tests?

Yes. TestGen supports two types of custom tests: custom conditions for row-level business rules (e.g., quantity_shipped <= quantity_ordered) and full custom SQL queries for complex joins and cross-table validation. These tests let you extend auto-generated coverage with domain-specific logic.

What's the difference between Open Source and Enterprise?

Open source includes the full testing engine: profiling, auto-generated tests, hygiene detection, anomaly monitoring, quality dashboards, and a built-in UI. It's limited to a single user, single project, and single database connection. Enterprise adds multi-user access with single sign-on (SSO) authentication support, role-based access control, multi-project management, PII masking, custom branding, and dedicated support.

How is pricing structured?

Enterprise pricing is a flat $100 per month per user and database connection, with unlimited tables and data volume. No per-table fees that scale unpredictably as your data grows.

How does TestGen compare to Great Expectations, Soda, or dbt tests?

Those tools require your team to write and maintain tests in Python, YAML, or SQL. TestGen auto-generates tests from your data. No code required. It covers about 80% of data quality testing automatically. You handle the 20% that needs domain judgment.

Can TestGen work alongside my existing tools?

Yes. TestGen complements your existing data stack. It connects to your databases, runs tests in-place, and integrates results into your workflows. It works alongside orchestrators, BI tools, and data catalogs without replacing any of them.

Start generating tests in minutes

Install open source TestGen today, or request an Enterprise demo.

Install Open Source TestGen Request a Demo