After nearly a year since we exited from stealth last July, we announced the release of Dremio 2.0 on April 25, 2018, our largest and most ambitious release since we launched 1.0. New features in 2.0 include data reflections for star and snowflake schemas, a REST API, support for Looker, and row and column-level access controls. We celebrated the announcement with gluten-free pastries in our office in Mountain View.
That day, we had users from 28 countries, including 6 continents, with France being the second most popular country after the U.S. As a company, we’ve also grown to over 50 employees and are continuing to expand our team.
We’ve also published a new tutorial on how you can use Dremio through our new REST API. Check out the release notes for more detailed information about enhancements, bug fixes, and documentation for our REST API. Our community has also been more active than ever–post a question if you are ever running into issues using Dremio.
Coverage in the media has been overwhelmingly positive - here is a summary since our announcement:
- Analytics Week, “Modern Approaches to Data Modeling: Cheaper, Better, Faster”
- Data Eng Newsletter, “Dremio is a system for speeding up SQL queries on and improving access to a data lake.”
- Eckerson Group, “Leave Your Data Warehouses and ETL Tools Behind With Dremio 2.0”
- IT News, “These new BI tools bridge the gap between analytics and modern applications”
- insideBIGDATA, “Dremio 2.0 Advances State of the Art Self-Service Data Platform”
- CRN “Startup Dremio Promises Improved Big Data Access For Business Analytics With New Release”
- Infoworld, “These new BI tools bridge the gap between analytics and modern applications”
- Silicon Angle, “Dremio adds machine learning to self-service data analytics platform”
- into.AI, into.AI, “Dremio 2.0 Puts the Data Lake to Work”
- CIO Dive, “Dremio 2.0 Advances State of the Art Self-Service Data Platform with Enhancements to Data Reflections, New Learning Engine, Support for Looker
- SPi News, SPi News, “Dremio 2.0 Advances State of the Art Self-Service Data Platform With Enhancements to Data Reflections, New Learning Engine, Support for Looker”
- SysCon, SysCon, “Dremio 2.0 Advances State of the Art Self-Service Data Platform With Enhancements to Data Reflections, New Learning Engine, Support for Looker”
- ZDNet, ZDNet, “Dremio 2.0 adds Data Reflections improvements, support for Looker and connectivity to Azure Data Lake Store”
- DBTA, DBTA,” Dremio 2.0 Puts the Data Lake to Work”
- Digitizing Polaris, “Dremio’s latest release aims to make data bread lines obsolete”
- 451 Research, “Dremio cements self-service data platform focus, scores series B funding”
- Datanami, “Dremio 2.0 Advances Self-Service Data Platform with Enhancements to Data Reflections, New Learning Engine, Support for Looker”
