Skip to content 🎉Introducing AIDA, Anomalo’s Intelligent Data Analyst

Anomalo Deepens Integration with Databricks Unity Catalog

In the age of big data, managing and governing data assets has become increasingly complex. Data is spread across different systems and departments, making it challenging to locate, understand, and verify. To address this issue, many organizations have turned to data catalogs, which are centralized repositories of metadata about data assets. Last year, Databricks launched … Continued

Anomalo: The Lighthouse for your Databricks Lakehouse

For a modern business, data drives effective decision-making processes. Companies need to store large amounts of data, then efficiently run machine learning and BI analyses against their dataset. In addition, they need to protect their data quality and prevent issues like corrupted or missing data that could skew the results of their models and dashboards. … Continued

Anomalo Earns Google Cloud Ready for BigQuery and AlloyDB

PALO ALTO, Calif., March 29, 2023  — Anomalo, the complete data quality platform company, today announced that it has successfully achieved Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations. Anomalo and Google Cloud are used by customers globally. ‍ Today’s announcement follows the October 2022 announcement of Anomalo’s partnership with Google … Continued

Anomalo Now Integrating with the Alation Data Catalog

Anomalo Deepens its Integration with the Alation Data Catalog As part of Anomalo’s commitment to interoperability, we previously joined Alation’s Open Data Quality Initiative as a founding partner. Our partnership with Alation has resulted in significant growth of mutual customers and a heightened demand for enhanced interoperability. ‍ Today, we’re excited to announce that we’re … 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 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

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

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