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Crate.io Named 2019 Gartner Cool Vendor in Manufacturing Operations

Crate.io Named 2019 Gartner Cool Vendor in Manufacturing Operations

Crate.io, developer and supplier of the IoT database technology CrateDB with a focus on Industrial IoT use cases, today announced it has been included in the 2019 Cool Vendors in Manufacturing Operations report by Gartner, Inc.

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IIoT data volume spurring time series database growth

IIoT data volume spurring time series database growth

Why massive IIoT data volume is spurring time series database growth

IoT World Today

Is my Smart Factory Smarter than Yours?

The concept of the “smart factory” is hot in the manufacturing sector, but the precise meaning of the term and the prospect of how to build one can be elusive.

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Going open-source to handle IIoT real-time data

Going open-source to handle IIoT real-time data

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Deploying Successful IoT Solutions

Podcast E024 | Deploying Successful IoT Solutions | Christian Lutz, Founder & CEO of Crate.io

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3 Ways IoT in Manufacturing Boosts Productivity (and a Roadmap to Get There)

In conversation with Software Advice, Crate.io discusses how manufacturers can most effectively - and efficiently - leverage IIoT technologies.

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Time Series Databases Go Mainstream as Sensor Data Volumes Explode

The key trends that will shape time series databases throughout 2019.

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IoT Data Platform Advances Discrete Manufacturing

Crate.io releases the Crate IoT Data Platform for Discrete Manufacturing, enabling the collection, analysis, storage, and provisioning of data for integrated manufacturing control within smart factories — both locally and in the cloud.

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How to Get Started Using CrateDB and Grafana to Visualize Time-Series Data

Crate.io customer Lovely Systems goes into detail about how they paired CrateDB and Grafana.

4 Industrial IoT Data Misconceptions That Hold Back Its Progress

4 Industrial IoT Data Misconceptions That Hold Back Its Progress

CEO Christian Lutz outlines what the industry gets wrong about IIoT data, and provides more accurate interpretations of IIoT data challenges.

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