Found on thegerister.com. DuckDB proposed DuckLake as a standard for metadata and catalogs, claims it simplifies lakehouses by using a standard SQL database for all metadata, instead of complex file-based systems, while still storing data in open formats like Parquet. It will be seen, if this makes them more reliable, faster, and easier to manage. The corresponding blog post is worth reading, because it gives a systematic view on the high level data architectures of DuckLake, Databricks, IceBerg, BigQuery and Snowflake.
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Found on theregister.com What is the background on Databricks with its Delta Tables purchasing Tabular with its Iceberg?
