It is hard to believe that it has been just a little bit over a year since we announced our 1st version of a product that was going to spearhead the definition of Data-as-a-Service in the data analytics world. Six months ago we announced Dremio 2.0, which we tagged as our “most ambitious” release so far. Not too far after, In October 30th, we were very proud to announce Dremio 3.0 which brings to our users a set of key features including: enhancements to the integrated data catalog, orchestration via Kubernetes, big performance improvements from Gandiva, workload management, security enhancements and much more.
Media coverage has been second to none - here is a summary since our announcement:
- Gestalt IT, “Dremio Reaches Maturity with the Release of 3.0”
- InsideBig Data, “Dremio Releases Major Update of Data-as-a-Service Platform”
- Dataversity, “Dremio Bridges the Gap Between Data Engineers and Data Consumers”
- Digitizing Polaris, “Dremio the missing link between big data and insight”
- SD Times, “Dremio 3.0 introduces new ways to empower data scientists”
- Datanami, “Dremio Fleshes Out Data Platform”
- SiliconAngle, “Dremio expands scope and boosts speed of its Apache Arrow-based analytics engine”
- ZDNet, “Dremio 3.0 adds catalog, containers, enterprise features”
- CIO Dive, “Dremio Bridges the Gap Between Data Engineers and Data Consumers”
