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.
Snowflake Data Quality
Native Snowflake data quality checks built on data metric functions (DMFs) and expectations, scheduled per table, with volume and freshness anomaly detection and AI-suggested checks from Cortex Data Quality.
Best for Snowflake teams on Enterprise Edition that want data quality checks without adding a vendor or moving data.
Data Observability Tools
Tools focusing on detecting data quality issues with data monitors and anomaly detection.
Monte Carlo
Data + AI observability platform that connects to Snowflake with a read-only key-pair service user, or runs inside your account as a Snowflake Native App on Snowpark Container Services, with monitors and query-log lineage.
Best for large Snowflake estates that want ML monitors and lineage, with the option to run inside the Snowflake account as a Native App instead of an external agent.
Anomalo
Autonomous data quality monitoring platform that runs inside your Snowflake account as a Snowflake Native App from the Marketplace, using unsupervised ML to monitor tables and object dependencies for lineage.
Best for Snowflake teams that want unsupervised ML monitoring deployed as a Native App, so the data never leaves their Snowflake account.
Metaplane by Datadog
Data observability platform by Datadog that connects to Snowflake with a read-only user on a dedicated warehouse, or runs queries inside your account as a Snowflake Native App, monitoring the tables it can SELECT.
Best for Snowflake teams that want monitors running in minutes, with queries kept inside their account through the Native App, especially if they already use Datadog.
Acceldata
Autonomous data and AI platform that connects to Snowflake with a read-only role (key pair, password, or OAuth) and runs lightweight freshness, row count, and profiling queries on a warehouse, plus data quality rules.
Best for Snowflake teams that want lightweight monitoring queries and data quality rules under a read-only role, in a wider data reliability platform.
Qualytics
Data quality control layer that connects to Snowflake through the JDBC driver with password or key-pair auth, running every query under a granted role and warehouse to profile and scan tables.
Best for Snowflake teams that want inferred data quality checks generated from profiles, with every query under one role and warehouse.
DQOps
Open-source data quality operations center that connects over JDBC with a Snowflake user (optional warehouse and role) and runs profiling and monitoring checks for volume, freshness, and schema changes on imported tables.
Best for teams that want free, self-hosted profiling and freshness, volume, and schema checks on Snowflake tables.
FirstEigen DataBuck
Zero-code data quality software that scans each Snowflake data asset in place, computes ML-based data quality metrics and a trust score, and writes them to Snowflake object tags.
Best for Snowflake teams that want ML data quality scores written back as Snowflake object tags, with no rules to write.
Validio
Agentic data quality and observability platform that connects to Snowflake with a key pair, password, or programmatic access token plus role and warehouse, and runs validators on selected tables or views on a polling schedule.
Best for Snowflake teams that want validators with segmentation on selected tables and views, polled on a schedule.
DQLabs
AI-native data quality platform that connects to Snowflake to process asset metadata and assess column-level data quality with anomaly detection.
Best for Snowflake teams that want column-level data quality scoring and anomaly detection without writing rules.
Coalesce Quality
Data quality product by Coalesce, built on SYNQ, that connects to Snowflake with a key-pair service user on an XSMALL warehouse, reads metadata and ACCOUNT_USAGE query logs, and reads rows only for custom monitors and SQL tests.
Best for Snowflake teams that want low-cost metadata monitors on an XSMALL warehouse, reading rows only for custom tests.
Lightup
Enterprise data observability platform that connects with a Snowflake user to one database, with an optional warehouse and role, and runs scheduled metrics on tables, views, materialized views, and external tables.
Best for enterprises that want scheduled data quality metrics on Snowflake tables, views, and external tables.
Telmai
AI-based data observability platform that connects to Snowflake with key-pair auth and SELECT, USAGE, and MONITOR grants, and detects anomalies and drift on tables and views, processing the data outside the warehouse.
Best for teams that want anomaly and drift detection on Snowflake tables and views, processed outside the warehouse.
DataKitchen
Open-source data quality testing tools that connects to Snowflake with key-pair or password authentication and pushes read-only SQL queries into Snowflake to profile, test, and monitor tables.
Best for teams that want free, self-hosted profiling and generated tests on Snowflake, with queries kept read-only.
Pantomath
Data pipeline observability platform that runs as a Snowflake Connected App that keeps its metadata in Snowflake and joins Snowflake lineage with other platforms in one pipeline view.
Best for teams that want end-to-end pipeline lineage across Snowflake and the jobs that feed it, with metadata kept in Snowflake.
Elementary OSS
Open-source dbt package by Boomi that connects to Snowflake with a key-pair user created by a dbt macro and reads the Elementary schema, INFORMATION_SCHEMA metadata, and query history, without read access to your tables.
Best for dbt-on-Snowflake teams that want monitoring from metadata and dbt results, without granting read access to table data.
Unified Data Quality Tools
Tools combining data quality, data observability, data lineage, and a data catalog in one product.
Sifflet
Data and AI observability control plane that connects to Snowflake with a read-only service user, reads ACCOUNT_USAGE for lineage, usage, and tags, and offers a Snowflake Native App in private preview.
Best for Snowflake teams that want monitors plus lineage, usage, and tags from ACCOUNT_USAGE, with business users in the loop.
Collate
Managed agentic data platform built on OpenMetadata that connects with a Snowflake user (password or key pair), reads metadata plus ACCOUNT_USAGE query and access history for lineage, and runs profiler and data quality workflows.
Best for Snowflake teams that want a catalog, lineage from query history, and data quality tests in one platform, open-source or managed.
OpenMetadata
Open-source context platform that connects with a Snowflake user (password or key pair), reads metadata plus ACCOUNT_USAGE query and access history for lineage, and runs profiler and data quality workflows.
Best for teams that want a free, self-hosted catalog with lineage, profiling, and data quality tests on Snowflake, with Collate as the managed option.
Ataccama ONE
Agentic data trust platform that connects over JDBC and, with pushdown enabled, runs profiling, data quality evaluation, and monitoring projects directly in Snowflake on the connection's warehouse.
Best for enterprises that want profiling and data quality rules pushed down to run inside Snowflake compute, next to governance and MDM.
Bigeye
Enterprise AI trust platform that connects to Snowflake with a key-pair service user and warehouse, reads ACCOUNT_USAGE for lineage and metadata metrics, and runs metric queries on granted tables.
Best for Snowflake teams that want lineage and metadata metrics from ACCOUNT_USAGE, plus metric queries on the tables that matter.
Decube
Data observability, quality, and lineage platform that connects to Snowflake with a key-pair user, role, and warehouse, collects metadata and profiles, and runs freshness, volume, field health, custom SQL, and schema drift monitors.
Best for Snowflake teams that want freshness, volume, field health, and schema drift monitors next to a catalog.
Elementary Cloud
Managed data and AI control plane by Boomi that connects to Snowflake with a key-pair user created by a dbt macro and reads the Elementary schema, INFORMATION_SCHEMA metadata, and query history, without read access to your tables.
Best for dbt-on-Snowflake teams that want monitoring from metadata and dbt results, without granting read access to table data.
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.
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 Snowflake with a password, key pair, SSO, or OAuth, and runs scans that execute checks against the configured database, schema, and warehouse.
Best for engineers who want Snowflake data contracts and checks in YAML, run in CI/CD or on a schedule against a chosen warehouse.
Soda Core
Open-source data contracts engine that connects to Snowflake with a password, key pair, SSO, or OAuth, and runs scans that execute checks against the configured database, schema, and warehouse.
Best for engineers who want Snowflake data contracts and checks in YAML, run in CI/CD or on a schedule against a chosen warehouse.
Datafold
AI-powered data engineering platform that connects to Snowflake with a key-pair service user, reads ACCOUNT_USAGE for discovery, and runs data diff queries in the warehouse, keeping scratch data in a DATAFOLD_TMP schema.
Best for Snowflake migrations and dbt pull requests that need row-level data diffs computed inside the warehouse.
Recce
AI data review agent for dbt pull requests that connects with a password or key pair, role, and warehouse, and queries Snowflake directly to compare base and current environments in a data diff.
Best for dbt-on-Snowflake teams that want to compare dev and prod data before merging a pull request.
Data Contract CLI
Open-source command-line tool for ODCS data contracts that tests Snowflake tables against an ODCS data contract with datacontract test, authenticating with a password or a private key set in DATACONTRACT_SNOWFLAKE_* variables.
Best for teams that want Snowflake data tested against vendor-neutral ODCS data contracts in CI/CD with one command.
Entropy Data
Data product marketplace that connects to Snowflake with a key pair or access token to sync databases, schemas, tables, and semantic views as assets, and writes data contract tags and comments back.
Best for data mesh teams that want Snowflake tables published as data products with data contracts, not table monitoring.
Data Testing Tools
Tools focusing on code-based data quality tests and data profiling for SQL tables, files, and DataFrames.
Great Expectations
Open-source Python data quality framework that connects to Snowflake with add_snowflake() using account, user, warehouse, role, and a private key, then validates tables or SQL queries as batches of data.
Best for Python engineers who want free, code-first validation of Snowflake tables in their own pipelines, without a managed UI.
pointblank
Open-source data validation library by Posit that validates Snowflake tables through its Ibis backend, installed with the snowflake extra.
Best for analysts and engineers who want readable Snowflake validation reports, starting free in Python.
DataComPy
Open-source DataFrame comparison library from Capital One that compares Snowpark DataFrames or Snowflake tables by name, joining them with EQUAL_NULL inside Snowflake and reporting differences.
Best for migration and refactoring work that needs a row-by-row diff of two Snowflake datasets with tolerances.
dbt tests
Data tests built into open-source dbt Core that run as SQL in Snowflake through the dbt-snowflake adapter: generic tests such as unique and not_null, custom SQL tests, and unit tests.
Best for teams that transform Snowflake data with dbt and want free tests next to their models, run in the same CI/CD.
Related integrations
- Data quality tools for Databricks SQL (34)
- Data quality tools for Google BigQuery (33)
- Data quality tools for Amazon Redshift (32)
- Data quality tools for Oracle DB (22)
- Data quality tools for Azure Synapse (19)
- Data quality tools for Teradata (16)
- Data quality tools for ClickHouse (15)
- Data quality tools for IBM DB2 (14)
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