# Tools for Data

> Directory of data tools with integration coverage, feature comparisons, and buying guides. Covers data quality, observability, testing, profiling, governance, transformation, orchestration, warehousing, and more.

## Tool Lists

- [Data Quality Tools](https://toolsfordata.com/lists/data-quality-tools/): Ranked list of data quality, monitoring, and observability platforms
- [Data Observability Tools](https://toolsfordata.com/lists/data-observability-tools/): Tools for monitoring data pipelines and detecting anomalies
- [Data Testing Tools](https://toolsfordata.com/lists/data-testing-tools/): Tools for writing and running data tests and assertions
- [Data Profiling Tools](https://toolsfordata.com/lists/data-profiling-tools/): Tools for analyzing data distributions, patterns, and statistics
- [Data Contracts Tools](https://toolsfordata.com/lists/data-contracts-tools/): Tools for defining and enforcing data contracts between producers and consumers
- [Data Governance Tools](https://toolsfordata.com/lists/data-governance-tools/): Tools for data cataloging, lineage, access control, and compliance
- [Data Transformation Tools](https://toolsfordata.com/lists/data-transformation-tools/): Tools for transforming and modeling data (ELT, dbt, etc.)
- [Data Integration Tools](https://toolsfordata.com/lists/data-integration-tools/): Tools for ingesting and moving data between systems (ETL/ELT pipelines)
- [Data Orchestration Tools](https://toolsfordata.com/lists/data-orchestration-tools/): Workflow orchestrators and pipeline schedulers
- [Data Warehouse Tools](https://toolsfordata.com/lists/data-warehouse-tools/): Cloud and on-premise data warehouses and lakehouses
- [Data Platform Tools](https://toolsfordata.com/lists/data-platforms-tools/): End-to-end data platforms combining storage, compute, and governance
- [Business Intelligence Tools](https://toolsfordata.com/lists/business-intelligence-tools/): BI and analytics tools for dashboards and reporting
- [MLOps Tools](https://toolsfordata.com/lists/mlops-tools/): Tools for deploying, monitoring, and managing machine learning models

## Integrations

- [Data Quality Tool Integrations](https://toolsfordata.com/integrations/data-quality-tool/): Which data quality tools support which databases, warehouses, and platforms

### Data Quality Integrations by Technology

- [Snowflake](https://toolsfordata.com/integrations/data-quality-tool/snowflake/)
- [Google BigQuery](https://toolsfordata.com/integrations/data-quality-tool/google-bigquery/)
- [Databricks SQL](https://toolsfordata.com/integrations/data-quality-tool/databricks-sql/)
- [Amazon Redshift](https://toolsfordata.com/integrations/data-quality-tool/amazon-redshift/)
- [dbt](https://toolsfordata.com/integrations/data-quality-tool/dbt/)
- [PostgreSQL](https://toolsfordata.com/integrations/data-quality-tool/postgresql/)
- [Microsoft SQL Server](https://toolsfordata.com/integrations/data-quality-tool/microsoft-sql-server/)
- [Amazon Athena](https://toolsfordata.com/integrations/data-quality-tool/amazon-athena/)
- [Apache Spark](https://toolsfordata.com/integrations/data-quality-tool/apache-spark/)
- [Azure Synapse](https://toolsfordata.com/integrations/data-quality-tool/azure-synapse/)
- [MySQL](https://toolsfordata.com/integrations/data-quality-tool/mysql/)
- [Amazon S3](https://toolsfordata.com/integrations/data-quality-tool/amazon-s3/)

## Guides

- [How to Choose a Data Quality Tool](https://toolsfordata.com/guides/data-quality-tool/): In-depth guide covering evaluation criteria, feature comparisons, and use-case recommendations