Best 33 Data Quality Tools for Google BigQuery (2026)

Google Cloud's managed data quality scans (formerly Dataplex auto data quality) for BigQuery and Iceberg tables, with predefined and SQL rules, rule recommendations from data profile scans, and failed-record queries.

Managed agentic data platform built on OpenMetadata that connects with a service account key or ADC, imports metadata through BigQuery APIs, reads INFORMATION_SCHEMA.JOBS_BY_PROJECT for usage, and runs profiler and data quality workflows.

Open-source context platform that connects with a service account key or ADC, imports metadata through BigQuery APIs, reads INFORMATION_SCHEMA.JOBS_BY_PROJECT for usage, and runs profiler and data quality workflows.

Agentic data trust platform that connects with a service account key or OAuth user credentials, and with pushdown runs profiling and data quality evaluation directly in BigQuery.

Enterprise AI trust platform that authenticates with a service account key, runs metric queries in BigQuery, and uses query history from listed projects for freshness, volume, and lineage.

Data and AI observability control plane that connects to BigQuery with a service account in a custom read-only role, reads INFORMATION_SCHEMA.JOBS for lineage and usage, and runs monitor queries on tables.

Data observability, quality, and lineage platform that connects to BigQuery with a service account in a custom role, and runs freshness, volume, field health, custom SQL, and schema drift monitors.

Managed data and AI control plane by Boomi that connects to BigQuery with a service account key or Workload Identity Federation and reads the Elementary dataset, INFORMATION_SCHEMA.JOBS history, and table metadata, without read access to your tables.

Self-hosted data observability platform with value-level data validation, column-level lineage, a data catalog, and a business glossary.

Data + AI observability platform that authenticates to BigQuery with a service account key, reads INFORMATION_SCHEMA views and job query logs, and runs SELECT queries for validation and metric monitors.

Autonomous data and AI platform that authenticates with Workload Identity or a key (Job User, Read Session User, Data Viewer), and in pushdown mode runs its queries directly in BigQuery.

Autonomous data quality monitoring platform that monitors BigQuery tables for data quality issues and takes upstream and downstream lineage from the Dataplex lineage graph.

Data quality control layer that connects to BigQuery with a service account through a JDBC driver, profiles tables and runs scheduled scans, and can bill queries to a separate project.

Open-source data quality operations center that connects with application credentials or a JSON key with BigQuery Job User, and runs scheduled profiling and monitoring checks for volume and freshness.

Data observability platform by Datadog that monitors BigQuery with your service account or one Metaplane provides, with Data Viewer, Job User, and a custom role to list jobs for query history.

Agentic data quality and observability platform that connects to BigQuery with a service account with Data Viewer, Job User, and metadata roles, and runs validators on selected tables or custom SQL on a schedule.

AI-native data quality platform that runs data quality checks and anomaly detection on BigQuery tables and creates incidents for the issues it finds.

Data quality product by Coalesce, built on SYNQ, that connects to BigQuery with a service account or keyless impersonation, reads INFORMATION_SCHEMA, polls row count, size, and last change every 30 minutes, and queries data only for custom monitors.

Enterprise data observability platform that connects to BigQuery with a service account with Data Viewer and Job User roles, with query governance limits on schedules, backfill duration, and distinct values.

AI-based data observability platform that connects to BigQuery with your service account or Telmai's, with Data Viewer and Metadata Viewer on datasets plus Job User to run scan jobs.

Open-source data quality testing tools that connects to BigQuery with a service account key and pushes read-only SQL queries into the project to profile, test, and monitor tables.

Open-source dbt package by Boomi that connects to BigQuery with a service account key or Workload Identity Federation and reads the Elementary dataset, INFORMATION_SCHEMA.JOBS history, and table metadata, without read access to your tables.

AI-powered data operations center with data and pipeline observability, cross-platform pipeline lineage, and automated root-cause analysis.

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

AI-native data quality platform built on data contracts that connects to BigQuery with a service account key, application default credentials, or impersonation, and runs SodaCL checks and profiling against the configured dataset.

Open-source data contracts engine that connects to BigQuery with a service account key, application default credentials, or impersonation, and runs SodaCL checks and profiling against the configured dataset.

AI-powered data engineering platform that connects with a service account with Data Viewer and Job User, and keeps data diff scratch tables in a temporary dataset so processing stays in BigQuery.

Data product marketplace that reads BigQuery datasets and tables as assets with Metadata Viewer, while its Data Contract CLI runs contract tests on table data with Data Viewer and Job User.

AI data review agent for dbt pull requests that connects with a service account key, project, and dataset, and queries BigQuery directly with read-only access to diff base and current environments.

Open-source command-line tool for ODCS data contracts that tests BigQuery tables in the contract's project and dataset, authenticating with a service account JSON file set in an environment variable.

Open-source Python data quality framework that connects to BigQuery with add_bigquery() and a connection string naming the project, dataset, and credentials file, then validates tables or SQL queries as batches of data.

Open-source data validation library by Posit that validates BigQuery tables through its Ibis backend, installed with the bigquery extra.

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