New Native Dremio Connector in Tableau Streamlines BI on Lakehouses

Jun 29, 2021

New Native Dremio Connector in Tableau Streamlines BI on Lakehouses

Santa Clara, Calif —June 29, 2021 – Dremio, the SQL Lakehouse company, announced the debut of a native Dremio connector in Tableau, available today with the release of Tableau 2021.2. The native connector extends Tableau’s support of Dremio and enhances ease of use and accelerated time-to-insight by allowing customers to perform BI workloads directly on the data lake.

As companies race to become data-driven, democratized access to data across an organization is essential. A fast, streamlined data analytics experience is critical for companies to quickly make impactful data-driven decisions and drive overall business growth. With the new native Dremio connector in Tableau Online, Tableau Server, and Tableau Desktop, Dremio and Tableau enable users to create powerful, interactive dashboards that run directly on their data lakes and lakehouses to drive faster time-to-insight.

“The world’s largest companies use Tableau and Dremio to run mission-critical BI workloads directly on their data lakes and lakehouses,” said Roger Frey, vice president of business development at Dremio. “With the native Dremio connector in Tableau, we’re amplifying the combined power of Tableau and Dremio with a best-in-class experience enabling customers to perform BI workloads on large datasets without having to copy data into proprietary data warehouses.”

The native Dremio connector in Tableau provides a simplified, streamlined path for users to create live dashboards and perform interactive analysis directly on their data lakes. With Dremio connectivity now built into Tableau Online, users can create interactive, high-performance dashboards directly on the data lake through Tableau’s SaaS analytics platform. This connection empowers users to perform self-service analytics directly from the data lake, greatly assisting organizations to make impactful data-driven decisions.

In addition, the native connector in Tableau simplifies the experience for Tableau Desktop and Server users while providing full support from Tableau’s Global Support Team. Tableau can connect to a wide variety of supported and non-supported data sources, stored in a variety of systems. With non-supported data sources, users connect to a data source using a plugin, also known as a TACO file. Now with the native Dremio connector in 2021.2, users do not have to install the plugin and add it to the proper Tableau directory – cutting down on the overhead required to connect to Dremio from Tableau.

“Helping people make smarter, faster decisions through the power of data, has always been Tableau’s mission,” said Brian Matsubara, RVP of Global Technology Alliances at Tableau. “By furthering our integration with Dremio, we’re providing a more intuitive user experience that reduces the number of steps required to connect Dremio to Tableau’s self-service analytics platform, gives customers the ability to perform business intelligence workloads directly on the data lake and ultimately, make strategic data-driven decisions at a faster pace.”

“We use Dremio and Tableau extensively for mission critical analytics on large volumes of data on our data lakehouse,” said Adrian Daniel, head of data platforms at NewDay. “We’re excited about the native integration in Tableau 2021.2 as well as the ability to query the data lake from Tableau via the Dremio query engine.”

About Dremio

Dremio reimagines the data lake service to deliver faster time to analytics, eliminating the need for expensive proprietary systems. Dremio eliminates the need to copy and move data to proprietary data warehouses or create cubes, aggregation tables and BI extracts, providing flexibility and control for Data Architects, and self-service for data consumers. Founded in 2015, Dremio is headquartered in Santa Clara, CA. Investors include Cisco Investments, Insight Partners, Lightspeed Venture Partners, Norwest Venture Partners, Redpoint Ventures, and Sapphire Ventures. For more information, visit www.dremio.com. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.

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