Newsroom

Dremio Cloud for Azure, built on Apache Arrow’s columnar foundation, offers organizations rapid and scalable query performance for analytical workloads. Dremio, the easy and open data lakehouse, today announced the public preview of Dremio Cloud for Microsoft Azure. The SaaS solution offers companies self-service analytics coupled with data warehouse functionality and the flexibility of a […]

Dremio announced the public preview of Dremio Cloud for Microsoft Azure. This SaaS solution offers companies self-service analytics coupled with data warehouse functionality and the flexibility of a data lake, all within an environment characterized by rapid setup and deployment, automatic upgrades, scalability, and advanced data lakehouse management features. Dremio Cloud enables companies to rapidly drive […]

Matt Peachey, Vice President, International at Dremio, argues that open is the smart way forward for data management For the past decades, data has been propelling business operations. Whether an organisation offers tangible goods or intangible services, crucial information about partners, workforce, processes, and clients forms the backbone of a company’s wellbeing. At the heart […]

Data Lakehouse supplier Dremio announced AI-powered data discovery capabilities, delivering GenAI-powered data documentation and labeling to provide business context for analytics, and a unified path to Apache Iceberg (open table format) for all data. It provides one-click command ingestion into Iceberg tables. Dremio can convert raw data (in JSON, CSV, and Parquet formats) from data lakes, relational […]

According to a new press release, data lakehouse platform Dremio unveiled AI-powered data discovery capabilities to enhance data contextualization and simplify analytics. Building on its generative AI text-to-SQL features, Dremio now incorporates GenAI-powered data documentation and labeling, reducing manual effort and providing comprehensive business context for analytics. This positions Dremio as an accessible analytics platform. […]

In this week’s real-time analytics news: Amazon Web Services and its partners made many announcements at the annual re: Invent conference. Keeping pace with news and developments in the real-time analytics market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. Dremio announced […]

At AWS re:Invent, Dremio announced AI-powered data discovery capabilities that accelerate and simplify data contextualization and description for analytics, along with improved capabilities that extend its leadership as the best analytics engine for Apache Iceberg. Expanding on previously announced Generative AI text-to-SQL capabilities, Dremio is delivering new GenAI-powered data documentation and labeling to provide comprehensive business context […]

Easy and Open Data Lakehouse Technology Expands Generative AI Capabilities and Doubles Down on Simplification of Iceberg Adoption At AWS re:Invent, Dremio, the easy and open data lakehouse, announced AI-powered data discovery capabilities that accelerate and simplify data contextualization and description for analytics, along with improved capabilities that extend its leadership as the best analytics engine […]

According to a new press release, data lakehouse platform Dremio unveiled AI-powered data discovery capabilities to enhance data contextualization and simplify analytics. Building on its generative AI text-to-SQL features, Dremio now incorporates GenAI-powered data documentation and labeling, reducing manual effort and providing comprehensive business context for analytics. This positions Dremio as an accessible analytics platform, offering […]

Dremio, the easy and open data lakehouse, is introducing AI-powered data discovery capabilities that accelerate and simplify data contextualization and description for analytics, along with improved capabilities that extend its analytics engine for Apache Iceberg. Expanding on previously announced Generative AI text-to-SQL capabilities, Dremio is delivering new GenAI-powered data documentation and labeling to provide comprehensive […]

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of December 1, 2023. Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from […]

Amid the generative AI frenzy, a quieter revolution has been taking place: Open table formats—a foundational component of data lakehouses—are bringing full SQL functionality directly to the data lake. The data lakehouse is fast becoming the primary architecture for delivering analytics, according to Dremio’s report The State of the Data Lakehouse, 2024.  With 65% running a majority of […]

LAS VEGAS, Nov. 30, 2023 — Dremio today announced at AWS re:Invent AI-powered data discovery capabilities that accelerate and simplify data contextualization and description for analytics, along with improved capabilities that extend its leadership as the best analytics engine for Apache Iceberg. Expanding on previously announced Generative AI text-to-SQL capabilities, Dremio is delivering new GenAI-powered data documentation and labeling […]

Dremio has unveiled AI-powered data discovery capabilities that accelerate and simplify data contextualization and description for analytics, along with improved capabilities that extend its leadership as the analytics engine for Apache Iceberg. Expanding on previously announced Generative AI text-to-SQL capabilities, Dremio is delivering new GenAI-powered data documentation and labeling to provide comprehensive business context for analytics, […]

Jonny Dixon, Senior Product Manager at Dremio, explains why it’s time for a Hadoop migration. While there are several alternatives available to enterprises looking to migrate away from Hadoop, the migration journey can be daunting. However, with a clear migration map, enterprises can make the leap to a better analytics infrastructure. Why migrate now? In […]