alt Hacker NewsThis is cool.
As far as I can tell, incremental the library aims to solve the problem of partially hydrating a computation graph when source data is altered. This approach is similar to the one pursued by (well designed) build systems and is common in the FP world. [2] This has many use cases and is very cool.
In addition, in the sphere of incremental computation, there exists Differential Dataflow, Timely Dataflow (adjacent), and DBSP. Systems like Feldera are built on DBSP. Materialize is lead by some DD guys.
Personally, I am pursuing an orthogonal approach specifically for the problem of financial data and financial workloads, There exists huge, very important problems to solve! [1]
[2] Signals And Threads episode on the subject https://signalsandthreads.com/build-systems/
Replies
Check out https://github.com/ila/openivm which implements a very large scope of aggregations as incremental operations in an SQL-to-SQL compiler, and extension for duckdb that automatically maintains a materialized view
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