Data Mesh – a new enterprise data architecture

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  • sgr

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

  • We're building a data mesh at Splitgraph [0]. We provide a unified interface to query and discover data products. You can query the data using the Postgres wire protocol at a single endpoint, with any of your existing tools. And you can discover it in the catalog, using a familiar GitHub-like interface. You can try this right now on the public website, where we federate access to 40k open datasets. Every dataset is addressable with a `namespace/repository:tag` format. The `tag` can refer to either the live data, in which case we forward the query upstream or to a versioned snapshot of data that you build with declarative, Docker-like tooling. [1]

    On the enterprise side, integrating the access and discovery layers gives a lot of advantages, especially around data governance. On the web, we give users tools to connect data sources, document them, and share/audit access to them. When a query comes through the endpoint, since we're implemented as a Postgres proxy, we can rewrite/filter/drop it in accordance with rules, or we can forward it along to the upstream data source(s) and/or join across them. If you use Splitfiles to generate versioned data, we can also provide data lineage/provenance and full reproducibility.

    We've been working on this for ~3 years but are still pretty early. If anyone wants to help, we just raised a seed round and are hiring a remote team -- check my comment history for links.

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

    [1] https://www.splitgraph.com/docs/working-with-data/using-spli...

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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