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CNBC and its panel of leading tech executives have identified open data lakehouse champion Dremio among 25 fast-growing startups likely to pique large enterprise interest
SANTA CLARA, Calif.--(BUSINESS WIRE)--Dremio, the easy and open data lakehouse, today announced it has been named to CNBC’s Top Startups for the Enterprise list. CNBC has debuted this list of 25 unranked companies to identify fast-growing startups that have the potential to partner with, be acquired by or receive investment from large enterprise organizations. Along with members of its Technology Executive Council (TEC), which includes prominent CIOs, CTOs, CDOs, and CISOs, CNBC selected the companies recognized in the inaugural list.
“Dremio’s open architecture means data can be engaged as an independent open tier and delivered as a product, with different teams using the processing engines that make the most sense for them,” added Bosworth.
Dremio’s open data lakehouse delivers the cost effectiveness and scalability of data lakes with the performance and functionality of data warehouses. Built on open source standards like Apache Arrow and Apache Iceberg, Dremio eliminates data silos and provides the flexibility to use any other processing engine on the same data.
“Open data lakehouses are gaining traction across a wide range of industries, as companies experience the complexity, lock-in and skyrocketing costs of data warehouses,” said Tomer Shiran, co-founder and CPO at Dremio. “When enterprises use Dremio’s open data lakehouse architecture and query acceleration capabilities, they’re minimizing how many copies of data they have in circulation, and they’re minimizing how many data pipelines they need to have. In ad hoc or mission-critical BI, they no longer need to worry about data marts, extracts and cubes, or rogue copies that come with data migration. That advances security and reduces costs dramatically, improving efficiencies across all aspects of the business.”
Dremio makes data consumable and collaborative for business users, data analysts, data engineers, and data scientists as they discover, curate, analyze, and share datasets in a self-service fashion with a seamless end-user experience.
Dremio is the easy and open data lakehouse. Data teams use Dremio to deliver self-service analytics, while enjoying the flexibility to use Dremio's lightning-fast SQL query service and any other processing engine on the same data. Dremio increases agility with a revolutionary data-as-code approach that enables Git-like data experimentation, version control, and governance. In addition, Dremio eliminates data silos by enabling queries across data lakes, databases, and data warehouses, and by simplifying ingestion into the lakehouse. Dremio's fully managed service helps organizations get started with analytics in minutes, and automatically optimizes data for every workload. As the original creator of Apache Arrow and committed to Arrow and Iceberg’s community-driven standards, Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are on their lakehouse journey.
Hundreds of global enterprises like JPMorgan Chase, Microsoft, Regeneron, and Allianz Global Investors use Dremio to deliver self-service analytics on the data lakehouse. Founded in 2015, Dremio is headquartered in Santa Clara. To learn more, follow the company on GitHub, LinkedIn, Twitter, and Facebook or visit www.dremio.com.