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Microsoft Chasing European Startups for Future Cloud Business

Microsoft supporting start-ups building software for some of the fastest-growing areas in computing, including connected factories and vehicles, AI, blockchain databases and computer vision.

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How We Designed CrateDB as a Realtime SQL DBMS for the Internet of Things

About the DBMS design choices that Crate.io made to support the new IoT data workload–millions of machine data points queried in real time.

database Trends and Applications

CrateDB 2.0 Enhanced with Stronger Cluster Capabilities, Security Upgrades, and SQL Improvements

CrateDB 2.0, a SQL database for real time analytics of IoT and machine data, features enhanced cluster capabilities and SQL improvements.

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CrateDB 2.0 Enterprise stresses security and monitoring — and open source

The open source database for processing high-speed freeform data with SQL queries now has enterprise features, available as open source for faster developer uptake.

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With version 2.0, Crate.io’s CrateDB database puts an emphasis on IoT

With this new version, this clustering system offers improved performance and resiliency.

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Crate.io Raises €2.5M in Seed Funding

The round, which followed a $4m round closed in March 2016, was led by Vito Ventures with participation from Dawn Capital, Draper Esprit, …

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Crate.io Introduces CrateDB, an Open Source SQL Database

Crate.io is releasing CrateDB 1.0, an open source SQL database that enables real-time analytics for machine data applications. CrateDB …

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CrateDB 1.0 Delivers New Stable Open-Source Database Option

CrateDB 1.0 Delivers New Stable Open-Source Database Option

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Crate.io unboxes clustered SQL CrateDB, decamps to California

After a million downloads since its introduction, CrateDB, an open-source distributed SQL database suited for real-time analysis of machine data, has reached its 1.0 release. …

Crate.io Launches Open Source Database for Analyzing Machine Data

Crate.io Launches Open Source Database for Analyzing Machine Data

CrateDB 1.0 is unique because it combines a distributed SQL query engine based on a columnar, NoSQL storage and indexing.