Programmable platform for data in motion

An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.

There are benefits to a table-based enterprise analytic data set. First, you have a true “compute once, use many” scenario. The total system load from analytic professionals is going to be vastly reduced. This is because instead of having each person repetitiously running the same type of process to do big joins and aggregations, it’s going to be r

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Cube is an open source semantic layer which recently integrated with LangChain to solve these issues in a different way. You can use YAML, Javascript, or Python to create definitions of different metrics, measures and dimensions for your data:

Snowflake is easy to use. As you mature and scale, Databricks becomes a strong competitor capable of more use cases. I consider both to have a reasonable moat against AI/LLMs, which is data governance with data lineage. I expect that moat to last at least a few years... even though most companies aren’t mature enough to have a strong data governanc... See more