Customized pricing for your team
Datafold's customized pricing is based on the number of users and tables being monitored and tested, and is generally purchased by data teams as a comprehensive platform. However, for teams interested in specific features such as one-time migration conversion and validation or column-level lineage, these can be purchased separately.
Datafold integrates with SQL and NoSQL databases, including Snowflake, Databricks, Google BigQuery, Redshift, Oracle, SQL Server, SAP HANA, Teradata, Postgres, MongoDB, and more. To see more about our integrations, please visit our Integrations page.
Datafold offers secure and flexible deployment options, including a multi-tenant SaaS deployment, a dedicated VPC, and a customer-hosted VPC option. If a more custom deployment is required, simple fill out the form to the right, and our team will get back to you.
The Datafold platform experience
Learn more about how Datafold is automating away manual data testing across development and deployment, monitoring, and data migrations.
.svg)
.svg)
.svg)
.svg)
.svg)
Test and deploy data transformation code with speed and confidence
.svg)
See the value-level differences between your development/staging and prod environments, so you know exactly how your code changes will impact your data.
.svg)
Automatically run a data diff when a PR opens. Enable PR reviewers to identify data changes quickly and establish a standard method of data testing.
.svg)
Understand the impact of your code changes on downstream tables, dbt models, BI dashboards, and reverse ETL pipelines using Datafold Cloud’s impact analysis CI comment and column-level lineage.
Stay on top of your data with real-time visibility and quick issue resolution across your entire data stack
Datafold supports cross-database data diffing, schema change, metric, and data test monitor types to capture all of your data testing needs.
Stay connected and up-to-date about your data quality with integrations to communication platforms like Slack, Email, and Webhooks. Ensure your team is notified immediately of any anomalies or test failures.
Create and manage data monitors at scale through the Datafold UI, Datafold REST API, or as version-controlled YAML code.
Massively accelerate a migration by using AI to automate away the most tedious parts of a data migration
Translate and convert your SQL queries with the Datafold Migration Agent. Spend zero time on rewriting SQL and looking up SQL dialect nuances.
.svg)
Automatically run cross-database data diffs—comprehensive value-level comparisons of tables across databases—to ensure every data point is accurately replicated.
Source to target validation for ongoing replication pipelines
Receive alerts when your data reconciliation efforts lack parity across databases.
Schedule data diffs to match your replication efforts, so your mission-critical data is always being tested behind-the-scenes.
Whether your replicated tables are hundreds or billions of rows, validate parity across databases in seconds using Datafold's efficient data diffing algorithm and optimization features.
