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Tag: Dremio

IBM to Showcase Open Analytics Push at PrestoCon Day

The PrestoDB community will come together this Wednesday for PrestoCon Day, the third annual virtual event showcasing the popular open source SQL engine. Representatives from Uber, Adobe, Alibaba, and TikTok will share s Read more…

NeuroBlade Seeks Controlled Growth for Big Data Bottleneck-Buster

Early adopters of NeuroBlade’s processing-in-memory (PIM) architecture, called XRAM, are showing a 10x to 60X boost in throughput for big SQL workloads. But the company is playing it safe on the growth front, so don’ Read more…

Dremio Supports Iceberg in Lakehouse Update

Dremio has announced the general availability of its support for DML operations (insert, update, and delete) on Apache Iceberg tables and for time travel for in-place querying of historical data. Apache Iceberg is an Read more…

Lakehouse Update a Warehouse Killer, Dremio Says

Dremio co-founder and Chief Product Officer Tomer Shiran says the data lakehouse architecture updates it announced today at the start of its Subsurface Winter Live conference--including a 60% faster query engine, a new d Read more…

A Peek at the Future of the Open Data Architecture

Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future of this open data archit Read more…

Cloud Data Warehousing: Understanding Your Options

Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is great news for customers, who no longer must worry about provisioning Read more…

Dremio Officially a ‘Unicorn’ As it Reaches $1B Valuation

The explosion of data lake analytics in the cloud has been good for Dremio, which today announced the completion of a $135-million Series D round. The company’s valuation has more than doubled in the past year to $1 bi Read more…

Building an Open Cloud Data Lake Future

Sponsored Content by Dremio

The explosion of data and the need for business agility to leverage that data for competitive advantage are driving a massive surge of data lake innovation. We’ve moved past first-generation on-premises Hadoop-based da Read more…

Dremio Preps for Growth with $70M in the Bank

In the midst of an unprecedented viral pandemic and the threat of a major economic recession, data middleman Dremio provided the rare bit of good news when it announced today that it raised $70 million in venture capital Read more…

Dremio Noses Into Cloud Lakes with Analytics Speedup

Most of today's big data action is occurring in the cloud, where companies are building massive data lakes atop object storage systems like AWS S3 and Microsoft ADLS. While object stores offer tremendous scalability, the Read more…

Dremio Donates Fast Analytics Compiler to Apache Foundation

Dremio has donated the Gandiva Initiative -- a LLVM-based execution kernel designed to speed up analytical workloads – to the Apache Software Foundation, where it will become available to anybody who wants it as part o Read more…

Dremio Fleshes Out Data Platform

Dremio today rolled out a version 3.0 update to its multi-purpose data analytics tool with new features like support for Kubernetes, a built-in data catalog, and support for Teradata, Elasticsearch, and Microsoft ADLS da Read more…

Dremio Accelerates Growth Plans Following $25M Series B

Dremio CEO Tomer Shiran wasn't planning on completing a Series B round of investment until later this year. Sales have been humming along for Dremio's self-service data access tool, he says, and things were going well. B Read more…

Dremio Emerges from Stealth with Multi-Threat Middleware

If your business analysts are struggling to connect, prepare, and query data from multiple sources in a timely and cost effective manner, you might be interested in learning about Dremio, a new open source software compa Read more…

BI on Hadoop–What Are Your Options?

In the era of RDBMS and modern data warehouses, business intelligence was mostly a solved problem. Any reasonably advanced tool would work with any reasonable database, and the only real work was deciding what to collect Read more…

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