Get Started Free
No time limit - totally free - just the way you like it.Sign Up Now
New low-latency query technology accelerates BI dashboard queries directly on Amazon S3 and Azure Data Lake Storage
Santa Clara, Calif,. – October 27, 2020 –Dremio, the cloud data lake engine company, today announced ground-breaking innovations that deliver sub-second query response times directly on cloud data lakes and support for thousands of concurrent users and queries. In addition, Dremio now includes a built-in integration with Microsoft Power BI, enabling users to instantly launch the data visualization software from Dremio and immediately start querying data via a direct connection.
“As the modern needs of businesses are forcing organizations to rethink their data warehousing strategies, businesses are digitally transforming their technology stack, embracing cloud data lakes and focusing on analytics initiatives,” said Mike Leone, senior analyst, ESG. “Businesses should get the BI and reporting capabilities they’re used to from a data warehouse and they should be able to easily and cost-effectively bring all data to one place in an open format. Dremio is among a wave of vendors delivering on the initial promise of a cloud data lake, re-architecting platforms, offering managed services and more tightly integrating with BI data science, and machine learning platforms.”
The latest Dremio product release enables companies to run production BI workloads, including interactive dashboards, directly on Amazon S3 and Azure Data Lake Storage (ADLS) — without having to move data into data warehouses, cubes, aggregation tables or extracts. The new capabilities deliver simple, self-service access to data and enable analysts to see results immediately, eliminating their dependency on manual ETL processes or data engineering while reducing the costs associated with data warehousing.
“The fact that organizations don’t need to copy their data into a data warehouse for BI workloads has been unthinkable for the last 30 years,” said Tomer Shiran, Dremio co-founder and chief product officer. “Today, our users can leverage Dremio to power live dashboards and reports directly on S3 and ADLS, instead of waiting weeks to have data moved into a data warehouse. We’re removing limitations, accelerating time to insight and empowering data teams.”
Key new features of Dremio’s cloud data lake engine are designed to enable high-concurrency, low-latency SQL workloads, including BI dashboards, directly on the cloud data lake. These include:
Tweet this: @Dremio enables BI directly on cloud data lakes and reduces data warehouse costs #datalake #cloud #BI https://www.dremio.com/press-releases/dremio-fall-2020-release/
Dremio’s Data Lake Engine delivers fast query speed and a self-service semantic layer operating directly against data lake storage. 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. For more information, visit www.dremio.com.
Founded in 2015, Dremio is headquartered in Santa Clara, CA. Investors include Cisco Investments, Lightspeed Venture Partners, Norwest Venture Partners and Redpoint Ventures. Connect with Dremio on GitHub, LinkedIn, Twitter, and Facebook.
Winkowski Public Relations