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Lars Färnström

Real-time analytics database company CrateDB names Lars Färnström as new CEO

With 25+ years of leadership experience, Lars Färnström joins CrateDB as the company looks to scale further internationally

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Austria's best start-ups of 2022 [RANKING]

The trend RANKING of the 100 best start-ups provides information on who was best able to deal with the volatile market environment - and who even profited from the crisis.

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Enabling increased scalability and performance for the energy industry - Crate.io announces strategic partnership with 4e Consulting Group

Crate.io’s real-time analytics database solution CrateDB can support 4e Consulting Group’s clients in the US and Latin America requiring solutions that can scale

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What constitutes modern databases?

Negative myths often surround state-of-the-art alternatives. Crate.io, developer of the CrateDB database, calls some of them 'fairy tales'.

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Five prejudices about modern databases

Developers and administrators are often confronted with traditional databases that are literally gathering dust. Negative myths often surround state-of-the-art alternatives. Crate.io wants to dispel them.

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Like sand through the fingers

No sooner have we become accustomed to Industry 4.0, than Industry 5.0 is just around the corner. And where is the difference between the two?

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Cloud Database from Vorarlberg

ITWELT.at spoke with Christian Lutz, founder and Director of the Board at Crate.io.

Eva Schönleitner

Master Big Data

The energy industry is facing a digital future ahead. However, generating and collecting data alone will not achieve much. This data must also be put into a meaningful context this is where Crate.io helps.

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The "Connected Worker" moves into focus

For Eva Schönleitner, CEO of the start-up Crate.io, Industry 5.0 is an important step towards managing factories even better and more easily in the future.

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Crate.io: Success with "digital gold"

Crate.io greatest strength is its leading-edge technology, which makes it possible to generate real added value from large volumes of data