Skip to content 🎉 Announcing our Unstructured Data Monitoring Product and Series B Extension

Anomalo Teams Up with dbt Labs to Elevate Data Quality

PALO ALTO, Calif., October 18, 2022 — Today at Coalesce, Anomalo, the complete data quality platform company, announced a partnership with dbt Labs to provide data quality for dbt metrics, a part of the new dbt Semantic Layer. Anomalo is now a Metrics Ready Launch Partner of dbt Labs. dbt is a transformation framework that … Continued

Automated Data Quality Monitoring with dbt and Anomalo

If you frequently work with business metrics, you probably know the feeling of wondering if you can really believe what the data is telling you. Across various BI tools, even core metrics like ARR are defined differently, creating confusion. Meanwhile, data quality issues like missing data and schema changes erode trust. You end up questioning … Continued

Anomalo’s Improved Data Observability with Google BigQuery

PALO ALTO, Calif., Oct. 12, 2022 — Today at Google Cloud Next, Anomalo, the complete data quality platform company, announced a partnership with Google Cloud to help organizations trust the data they use to make decisions and build products. The combination provides customers with a way to monitor the quality of the data in any … Continued

Anomalo Partners with Databricks and Offers a Free Trial

Anomalo is now part of Databricks Partner Connect, which lets Databricks users integrate with select partners directly from within their Databricks workspace. This means customers no longer need to leave the Databricks UI to connect to Anomalo and start automatically monitoring the quality of the data in their Databricks lakehouse.. If you haven’t tried Anomalo … Continued

Anomalo Partners with Databricks for Data Quality Monitoring

PALO ALTO, Calif., June 15, 2022 — Anomalo, the complete data quality platform company, today announced that Anomalo is available on Databricks Partner Connect. Partner Connect helps Databricks customers discover validated data, analytics and AI tools and integrate these tools directly within their Databricks Lakehouse. One of Databricks’ first partners in data quality, Anomalo is … Continued

How Anomalo integrates with the Alation Data Catalog

At Anomalo, we believe data quality should always be highly visible and easy to access, no matter what tools your business uses for its data stack. That’s why we prioritize interoperability, working closely with data warehouse, lakehouse, and catalog providers to ensure that our platforms fit together seamlessly. As part of this goal, we’re thrilled … Continued

Identify Missing, Corrupted & Anomalous Data with Anomalo & Databricks

An organization’s data quality erodes naturally over time as the complexity of the data increases, dependencies are introduced in code, and third-party data sources are added. Databricks customers can now use Anomalo, the complete data quality platform, to understand and monitor the data quality health of their tables. Unlike traditional rules-based approaches to data quality, … Continued

Anomalo Partners With Snowflake to Help Enterprises Trust Their Data

PALO ALTO, Calif., Jan. 5, 2022 — Anomalo, the complete data quality platform company, today announced a partnership with Snowflake, the Data Cloud company, to help customers trust the data they use to make decisions and build products. The combination provides customers with a way to monitor the quality of the data in any table … Continued