Public Preview of Snowflake’s Service for Apache Polaris™ (Incubating) as a Source

In today's data-driven world, analysts demand tools that offer fast, flexible, and scalable access to data. Interoperability between data platforms is crucial to enable seamless data exploration and querying, without compromising performance. Dremio, with its open data architecture, excels in providing powerful query engines that allow businesses to gain analytic insights without physically moving data. Integrating Snowflake’s Open Catalog service as a source within Dremio further amplifies this, offering analysts a simplified, yet powerful way to interact with diverse datasets.

Key Benefits for Analysts

By integrating Dremio with Polaris Catalog Service as a source, analysts are empowered with:

1. Ease of Access: Dremio’s connectivity with Polaris Catalog Service is via the catalogs best practice making it easy to connect and gain access to your Iceberg Tables from Dremio.
2. Direct Querying Without Data Movement: Analysts can query datasets cataloged in Polaris without needing to extract, transform, or load (ETL) them into a different catalog. Dremio’s ability to run queries across various sources lets analysts tap into the power of distributed datasets, without complex data integration tasks.
3. Consistent, Governed Data: Data governance is often a challenge, with multiple versions of datasets floating around in organizations. By pulling datasets from Polaris, analysts in Dremio are assured of using the most up-to-date and trusted datasets, reducing the risk of working with inconsistent data.
4. Faster Time-to-Insights: The combined use of Polaris’ metadata management and Dremio’s high-performance query engine enables faster, more efficient analysis, accelerating time-to-insight for business decisions.

Conclusion

Integrating Dremio with Polaris Catalog Service creates a powerful, interoperable data ecosystem where analysts can discover, query, and analyze Iceberg Tables with ease.

Access the documentation here.