𝗗𝗲𝗹𝘁𝗮 𝗞𝗲𝗿𝗻𝗲𝗹 𝗣𝗼𝘄𝗲𝗿𝘀 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝘁 𝗧𝗮𝗯𝗹𝗲𝗳𝗹𝗼𝘄 🚀 @confluentinc Tableflow’s Delta Lake support is built on Delta Kernel, the open source library developed by Databricks to make Delta Lake universally accessible across any processing engine. Delta Kernel provides Java and Rust APIs that let developers read, write, and commit to Delta tables directly—without handling low-level Delta protocol details. This simplifies connector development and makes it easy for connectors to adopt the latest Delta innovations, such as catalog-managed commits, VARIANT data type, and type widening. 🔗 Learn more: confluent.io/blog/tableflow-… By leveraging Delta Kernel, Tableflow achieves high performance, strong compatibility, and open interoperability while simplifying the path from real-time streaming data to fully governed Delta tables in @databricks Unity Catalog. Specifically, Delta Kernel enables Tableflow to do the following: ✅ Maintain full atomicity, consistency, isolation, and durability (ACID) guarantees and Delta-compliant transaction logs for reliable table updates ✅ Write at scale, efficiently materializing Kafka topics into optimized Parquet data and metadata commits ✅ Stay future-proof with transparent adoption of new Delta Lake features and protocol versions #opensource #deltalake #deltakernel #tableflow #confluent

TD and @dennylee discuss Delta Kernel and how it simplifies building Delta connectors by providing simple, narrow programmatic APIs that hide all the complex details of the Delta protocol specification. 🦀 youtube.com/watch?v=KVUMFv74… #deltakernel #dataaisummit #oss #deltalake

Watch Delta Kernel: Simplifying Building Connectors for Delta from #DataAISummit to learn more ➡ lnkd.in/eWbkTA24 cc Tathagata Das, @dennylee #opensource #oss #deltakernel #linuxfoundation (3/3)

We’re super excited for the release of Delta Lake 3.0.0rc1! There are a lot of features so let’s go with some highlights: - #deltakernel project is a set of #Java libraries (#Rustlang will be coming soon) for building #DeltaLake c…lnkd.in/gRjzv6A2 lnkd.in/gchFNNgs