Dbt and Materialize

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
Rust Database SQL Streaming Kafka

WorkOS - The modern identity platform for B2B SaaS
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • materialize

    The data warehouse for operational workloads. (by MaterializeInc)

    • There are various ways to slice and dice that query as a user that'll allow you to choose whether to do the aggregate early or late. The details, I think, depend on the specifics of your data model.

    > When a resource migrates between customers, the whole history of the customer changes.

    I'm a bit confused about this part. In the query I posted above, Differential's incremental join algorithm would spare you from recomputing the entire join. (As written the query would have to re-aggregate the metrics associated with that resource that moved, but that could be solved by manually pushing the avg down.)

    If you'd like to drop by our Community Slack (https://materialize.com/s/chat) or GitHub issues (https://github.com/MaterializeInc/materialize/issues) we'd be happy to talk through things in more detail!

  • differential-dataflow

    An implementation of differential dataflow using timely dataflow on Rust.

  • WorkOS

    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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