Cloudera taken private for $5.3b, acquires Datacoral and Cazena

• sgr

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  sgr (command line client for Splitgraph) and the splitgraph Python library

  

The data industry continues to hype this idea of “multi-cloud,” but then the “modern data stack” is centralized around a single warehouse and nobody sees any irony in that.

The big bet we’re making at Splitgraph [0] is that the next wave of data engineering will take a more decentralized, “data mesh” type approach to enterprise architecture. “Data gravity” really does exist -expensive to move, in terms of both cost and operational complexity. So instead of bringing the data to the query, why not bring the query to the data? All we need for that is a set of read only credentials.

Cloudera mentions they bought DataCoral to help with data integration and connectors. They’ve correctly identified the problem - data sprawl and fragmentation will inevitably grow - but I’m not sure they have the right solution.

Data integration is important, but it’s a moving target, which is why it calls for a collaborative open source solution. This is why so many new startups, like AirByte most recently, are coalescing around the Singer taps that Stitch left behind after its acquisition by Talend.

We also support using Singer taps to ingest data into versioned Splitgraph images [1], so we’re excited to see more collaboration on maintenance of taps. For us it’s a useful feature, but it should be just that — a feature. Is there really a need to replicate all of your data before you can even query it? Or would you rather experiment by directly querying its source?

[0] https://www.splitgraph.com

[1] unreleased and undocumented atm, but it does work. We’re hiring, especially on the frontend if you want to help build the web UI. See profile.

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