Best 25 Data Quality Tools for Amazon Athena (2026)

    Discover the 25 best open-source and managed data quality tools for Amazon Athena: 1 built for Amazon Athena, 21 that connect to Amazon Athena and run checks on its data, dbt tests, which run on Amazon Athena through dbt, and 2 that work from its metadata without reading table data. 7 of them are open source. Tools built into or for Amazon Athena come first.

    By Ari Bajo - Data Engineer turned Writer.

    Updated on November 5, 2026

    Tools list

    Platform-Native Data Quality Tools

    Data quality features built into your data platform or transformation tool, with data tests and data monitors that run where your data already lives.

    AWS Glue Data Quality

    Managed AWS data quality service that evaluates DQDL rulesets on Glue Data Catalog tables and Athena views, with rule recommendations and evaluation runs on Athena views.

    My Opinion

    Best for AWS teams that want rule-based checks on Athena without adding a vendor.

    Unified Data Quality Tools

    Tools combining data quality, data observability, data lineage, and a data catalog in one product.

    Collate

    Managed agentic data platform built on OpenMetadata that connects to Athena over JDBC with access keys or an assumed role, reading Glue catalog metadata and running profiler workflows.

    My Opinion

    Best for teams that want profiling, data quality tests, and lineage in one catalog on Athena with an open-source core (OpenMetadata).

    OpenMetadata

    Open-source context platform that connects to Athena over JDBC with access keys or an assumed role, reading Glue catalog metadata and running profiler workflows.

    My Opinion

    Best for teams that want profiling, data quality tests, and lineage in one catalog on Athena with Collate as the managed option.

    Ataccama ONE

    Agentic data trust platform that connects to Athena over JDBC with IAM access keys or its engine's instance profile, then browses, profiles, and documents Athena tables.

    My Opinion

    Best for teams that want profiling and data quality rules on Athena with governance and MDM in the same platform.

    Bigeye

    Enterprise AI trust platform that connects to Athena with an IAM user key, a read-only S3 policy, and an S3 staging directory, then profiles tables and deploys metrics.

    My Opinion

    Best for teams that want automatic metrics and thresholds on Athena with monitoring next to their other warehouses.

    Sifflet

    Data and AI observability control plane that assumes an AWS IAM role through a trust policy and runs metadata, preview, and monitor queries in an Athena workgroup.

    My Opinion

    Best for teams that want monitors with business context on Athena with lineage shared with business users.

    Decube

    Data observability, quality, and lineage platform that uses AWS Glue for metadata and lineage and, with Athena enabled, runs profiling, previews, and data quality monitors through an IAM role or access key.

    My Opinion

    Best for teams that want profiling and data quality monitors on Athena with a catalog in the same tool.

    Elementary Cloud

    Managed data and AI control plane by Boomi that reads the Elementary schema and Glue metadata through an AWS role or access keys, without read access to your tables.

    My Opinion

    Best for dbt teams that want monitoring from metadata and dbt results, without read access to tables.

    Data Observability Tools

    Tools focusing on detecting data quality issues with data monitors and anomaly detection.

    Monte Carlo

    Data + AI observability platform that assumes an IAM role with an external ID to read Glue metadata and Athena query logs, running data health queries in a dedicated workgroup.

    My Opinion

    Best for teams that want ML monitors and lineage on Athena with incident management at enterprise scale.

    Acceldata

    Autonomous data and AI platform that connects to Athena with an instance profile, access keys, or IRSA, and profiles tables and runs quality policies on Spark or pushdown engines.

    My Opinion

    Best for teams that want profiling and quality policies on Athena with pushdown or Spark engines.

    DQOps

    Open-source data quality operations center that connects to Athena through its Trino driver in Athena mode with IAM access keys or default credentials, and runs profiling and monitoring checks.

    My Opinion

    Best for teams that want free, self-hosted profiling and monitoring checks on Athena with an open-source core.

    Validio

    Agentic data quality and observability platform that connects to Athena with an IAM access key and a query result location, and validators check source tables on a polling schedule.

    My Opinion

    Best for teams that want validators with segmentation on Athena with scheduled polling.

    DQLabs

    AI-native data quality platform that runs query, conditional, and behavioral data quality measures directly on Athena datasets.

    My Opinion

    Best for teams that want no-code data quality checks on Athena with anomaly detection built in.

    Lightup

    Enterprise data observability platform that connects to Athena with an access key, an S3 staging directory, and an optional workgroup, scanning tables and views on a schedule.

    My Opinion

    Best for teams that want scheduled data quality scans on Athena with enterprise deployment options.

    Telmai

    AI-based data observability platform that connects to Athena with an AWS access key, region, and S3 staging directory, and builds monitored assets from tables or custom SQL.

    My Opinion

    Best for teams that want anomaly and drift detection on Athena with processing outside the warehouse.

    Elementary OSS

    Open-source dbt package by Boomi that reads the Elementary schema and Glue metadata through an AWS role or access keys, without read access to your tables.

    My Opinion

    Best for dbt teams that want monitoring from metadata and dbt results, without read access to tables.

    Anomalo

    Autonomous data quality monitoring platform where AI agents monitor, investigate, and report issues across structured and unstructured data.

    My Opinion

    Best for enterprises that want ML-based monitoring with little rule-writing, including quality checks on unstructured data such as documents.

    Qualytics

    Data quality control layer that validates data where it's used, with checks auto-generated from profiling, anomaly detection, and quality context for AI agents.

    My Opinion

    Best for enterprises in regulated industries that need high test coverage without hand-writing rules, and on-premise deployment via Kubernetes.

    FirstEigen DataBuck

    Zero-code data quality software where AI agents auto-discover rules, validate and reconcile data, and score data trust across sources.

    My Opinion

    Best for enterprises in regulated industries that need automated data reconciliations and validations across legacy and cloud sources.

    Shift-Left Data Quality Tools

    Tools focusing on preventing data quality issues with data contracts, data-diff, and CI/CD.

    Soda Cloud

    AI-native data quality platform built on data contracts that connects to Athena with access keys, an optional role ARN or profile, and an S3 staging directory, then runs quality scans on the configured schema.

    My Opinion

    Best for teams that want data quality checks and contracts as code on Athena with YAML in Git and CI/CD.

    Soda Core

    Open-source data contracts engine that connects to Athena with access keys, an optional role ARN or profile, and an S3 staging directory, then runs quality scans on the configured schema.

    OSStestingcontractspython-native
    My Opinion

    Best for teams that want data quality checks and contracts as code on Athena with YAML in Git and CI/CD.

    Datafold

    AI-powered data engineering platform that connects to Athena with an AWS access key and writes temporary tables to a datafold_tmp database so data diffs run inside Athena.

    My Opinion

    Best for teams that want row-level data diffs on Athena with migration and pull request checks.

    Data Contract CLI

    Open-source command-line tool for ODCS data contracts that tests Athena tables over S3 data, with catalog, schema, staging directory, and workgroup from the contract or environment variables.

    OSStestingcontractspython-native
    My Opinion

    Best for teams that want Amazon Athena data tested against vendor-neutral ODCS data contracts in CI/CD with one command.

    Data Testing Tools

    Tools focusing on code-based data quality tests and data profiling for SQL tables, files, and DataFrames.

    dbt tests

    Data tests built into open-source dbt Core that run as SQL in Amazon Athena through the dbt-athena adapter: generic tests such as unique and not_null, custom SQL tests, and unit tests.

    OSStestingdbt-native
    My Opinion

    Best for teams that transform Amazon Athena data with dbt and want free tests next to their models, run in the same CI/CD.

    Great Expectations

    Open-source Python data quality framework, stewarded by Fivetran, with 50+ declarative expectations to validate files, SQL databases, warehouses, and DataFrames.

    OSStestingpython-native
    My Opinion

    Best for Python data engineers who want a free, code-first testing library and don't need a managed UI, since GX Cloud is no longer available.

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    By Ari Bajo - Data Engineer turned Writer.

    Frequently Asked Questions

    Which data quality tools run checks directly on Amazon Athena?
    23 of the 25 tools on this page connect to Amazon Athena and run checks, monitors, or profiling on the data itself: AWS Glue Data Quality, Collate, OpenMetadata, Ataccama ONE, Monte Carlo, Acceldata, Bigeye, DQOps, Soda Cloud, Soda Core, Sifflet, Datafold, Validio, Decube, DQLabs, Lightup, Telmai, Data Contract CLI, dbt tests, Anomalo, Qualytics, FirstEigen DataBuck, and Great Expectations. The others work from Amazon Athena metadata, runs, or lineage. Each card links to the tool's Amazon Athena integration docs. Read more on my data quality tool market guide.
    Which open-source data quality tools work with Amazon Athena?
    OpenMetadata, DQOps, Soda Core, Data Contract CLI, dbt tests, Elementary OSS, and Great Expectations are open source and work with Amazon Athena. More open-source options, including data testing libraries, are on the open-source data quality tools list.
    How can I edit this tools list?
    If you think a tool belongs here or you want to suggest an edit, I would love to hear from you. You can fill out the feedback form or DM on LinkedIn.