Collate
Managed agentic data platform built on OpenMetadata that ingests Trino metadata with basic, JWT, or Azure AD auth, and runs profiler and data quality tests with SELECT on target tables.
Best for teams that want profiling, data quality tests, and lineage in one catalog on Trino with an open-source core (OpenMetadata).
OpenMetadata
Open-source context platform that ingests Trino metadata with basic, JWT, or Azure AD auth, and runs profiler and data quality tests with SELECT on target tables.
Best for teams that want profiling, data quality tests, and lineage in one catalog on Trino with Collate as the managed option.
Acceldata
Autonomous data and AI platform that connects to Trino over JDBC with SSL and a user or secret manager, and runs policies on selected catalogs with Spark or Trino pushdown.
Best for teams that want profiling and quality policies on Trino with pushdown or Spark engines.
Qualytics
Data quality control layer that connects to Trino through the JDBC driver with a user, catalog, and schema over SSL, and sends SQL queries for profiling and scans.
Best for teams that want inferred data quality checks on Trino with checks generated from profiles.
Bigeye
Enterprise AI trust platform that connects to Trino with a dedicated read-only user over TLS, then loads and profiles tables, which can take up to 24 hours.
Best for teams that want automatic metrics and thresholds on Trino with monitoring next to their other warehouses.
DQOps
Open-source data quality operations center that connects to Trino over JDBC with a user and catalog, imports schemas and tables, and runs profiling and monitoring checks.
Best for teams that want free, self-hosted profiling and monitoring checks on Trino with an open-source core.
Soda Cloud
AI-native data quality platform built on data contracts that connects to Trino with basic, JWT, or OAuth2 client credentials authentication on a host, catalog, and schema, and runs quality scans.
Best for teams that want data quality checks and contracts as code on Trino with YAML in Git and CI/CD.
Soda Core
Open-source data contracts engine that connects to Trino with basic, JWT, or OAuth2 client credentials authentication on a host, catalog, and schema, and runs quality scans.
Best for teams that want data quality checks and contracts as code on Trino with YAML in Git and CI/CD.
Datafold
AI-powered data engineering platform that connects to Trino with a read-only user plus a writable schema where data diffs keep their scratch tables.
Best for teams that want row-level data diffs on Trino with migration and pull request checks.
Great Expectations
Open-source Python data quality framework that connects to Trino with a trino:// connection string and validates table data assets.
Best for teams that want free, code-first Expectations on Trino with Python pipelines.
Coalesce Quality
Data quality product by Coalesce, built on SYNQ, that connects to Trino over HTTPS as a dedicated user, reading information_schema, system.metadata, and SHOW STATS for listed catalogs, without collecting query history.
Best for teams that want low-cost metadata monitors on Trino with ownership and incidents.
Telmai
AI-based data observability platform that connects to Trino with LDAP authentication over SSL and builds monitored assets from tables or custom SQL queries.
Best for teams that want anomaly and drift detection on Trino with processing outside the warehouse.
Data Contract CLI
Open-source command-line tool for ODCS data contracts that tests Trino tables in the contract's catalog and schema with a username and password or a JWT token.
Best for teams that want Trino data tested against vendor-neutral ODCS data contracts in CI/CD with one command.
dbt tests
Data tests built into open-source dbt Core that run as SQL in Trino through the dbt-trino adapter: generic tests such as unique and not_null, custom SQL tests, and unit tests.
Best for teams that transform Trino data with dbt and want free tests next to their models, run in the same CI/CD.
Ataccama ONE
Agentic data trust platform with data quality rules, observability, a data catalog, lineage, master data management, and a built-in AI agent.
Best for large organizations that want enterprise data quality, master data management, and data governance from one vendor.
Anomalo
Autonomous data quality monitoring platform where AI agents monitor, investigate, and report issues across structured and unstructured data.
Best for enterprises that want ML-based monitoring with little rule-writing, including quality checks on unstructured data such as documents.
Elementary Cloud
Data & AI control plane by Boomi with anomaly detection monitors, column-level lineage, incident management, a data catalog, and AI agents.
Best for dbt-centric analytics teams that want managed monitoring, lineage, and AI agents for triage on top of their dbt tests.
Elementary OSS
Open-source dbt package by Boomi that adds anomaly detection tests and a CLI-generated data observability report to dbt projects.
Best for dbt teams that want free anomaly detection tests inside their existing dbt project, without a cloud account.
SelectZero
Self-hosted data observability platform with value-level data validation, column-level lineage, a data catalog, and a business glossary.
Best for enterprises that cannot let data leave their environment and want one self-hosted tool, deployed with Docker.
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By Ari Bajo - Data Engineer turned Writer.