Explore >> Select a destination
|
You are here 
|
www.onehouse.ai | ||
| | | | |
jack-vanlightly.com
|
|
| | | | | In the previous post, I covered append-only tables, a common table type in analytics used often for ingesting data into a data lake or modeling streams between stream processor jobs. I had promised to cover native support for changelog streams, aka change data capture (CDC), but before I do so, I think we should first look at how the table formats support the ingestion of data with row-level operations (insert, update, delete) rather than query-level operations that are commonly used in SQL batch commands. | |
| | | | |
delta.io
|
|
| | | | | Delta Lake Universal Format (UniForm) enables Delta tables to be read by any engine that supports Delta, Iceberg, and now, through code contributed by Apache XTable, Hudi. | |
| | | | |
lakefs.io
|
|
| | | | | A comparison between data lake table formats: Hudi Iceberg and Delta Lake. With advice on how to pick the best one for a particular workload | |
| | | | |
www.onehouse.ai
|
|
| | | Onehouse has announced its Series B funding round of $35M, led by Craft Ventures. This investment will contribute to building out our vision of a truly open and fully interoperable data lakehouse. | ||
