Stay up-to-date with the latest news and announcements from the LakeSail team. https://lakesail.com/blog/ en-us Why building Sail meant rebuilding Spark, not accelerating it. The JVM bottleneck and the case for a clean-slate Rust runtime. https://lakesail.com/blog/sail-and-spark-accelerators/ https://lakesail.com/blog/sail-and-spark-accelerators/ Sail 0.6 goes all-in on Arrow: zero-copy UDFs from Spark 4, the Variant type in SQL, and an Arrow Flight SQL server for any Flight SQL client. https://lakesail.com/blog/sail-0-6-arrow/ https://lakesail.com/blog/sail-0-6-arrow/ Meet the new Sail CLI feature for one-shot execution of any PySpark script. Access instant Spark-compatible compute in a single command, and give your agents data and AI engineering capabilities on demand. https://lakesail.com/blog/sail-agent-skills/ https://lakesail.com/blog/sail-agent-skills/ Sail 0.5 introduces a redesigned control plane for distributed execution with task region scheduling, unified shuffle, failure recovery, and a system catalog queryable via SQL. https://lakesail.com/blog/sail-0-5-distributed-execution/ https://lakesail.com/blog/sail-0-5-distributed-execution/ AI workflows rely on Python, but Spark isolates Python behind an inter-process boundary. Sail executes Python UDFs natively in-process for true high-performance distributed compute. https://lakesail.com/blog/sail-and-python-udfs/ https://lakesail.com/blog/sail-and-python-udfs/ Sail adopts Apache DataFusion's trusted query engine and extends it as part of a larger, distributed compute framework with Spark-compatible semantics. https://lakesail.com/blog/how-sail-utilizes-and-extends-datafusion/ https://lakesail.com/blog/how-sail-utilizes-and-extends-datafusion/ The future of data is composable. Sail brings distributed computation into that vision, modular, Arrow-native, and Spark-compatible. https://lakesail.com/blog/sail-composable-data-stack/ https://lakesail.com/blog/sail-composable-data-stack/ Sail 0.4 introduces native Apache Iceberg support and major improvements to Delta Lake integration. https://lakesail.com/blog/sail-0-4/ https://lakesail.com/blog/sail-0-4/ Sail turns one! Celebrate with us as we reflect on our journey, and look ahead to the future of unified data and AI workloads. https://lakesail.com/blog/sail-turns-one/ https://lakesail.com/blog/sail-turns-one/ Sail 0.3 adds support for Spark 4.0 while maintaining compatibility with Spark 3.5, along with faster object store performance and revamped documentation. https://lakesail.com/blog/sail-0-3/ https://lakesail.com/blog/sail-0-3/ Sail 0.3.2 brings native Delta Lake read/write support and expanded object storage integration with Azure, GCS, Cloudflare R2, and AWS S3. https://lakesail.com/blog/sail-0-3-2/ https://lakesail.com/blog/sail-0-3-2/ Sail 0.2.6 delivers enhancements across temporal data handling, SQL compatibility, Parquet integration, and the MCP server. https://lakesail.com/blog/sail-0-2-6/ https://lakesail.com/blog/sail-0-2-6/ With the Sail MCP server, data analytics in Spark is possible for both LLM agents and humans. https://lakesail.com/blog/spark-mcp-server/ https://lakesail.com/blog/spark-mcp-server/ A close look at Sail's new in-house SQL parser built using parser combinators and Rust procedural macros. https://lakesail.com/blog/sql-parser-in-one-week/ https://lakesail.com/blog/sql-parser-in-one-week/ Rust is redefining big data infrastructure by offering superior performance, memory safety, and scalability over traditional JVM-based systems. https://lakesail.com/blog/rust-vs-jvm/ https://lakesail.com/blog/rust-vs-jvm/ How enhanced UDF support in Sail opens up possibilities to bridge the gap between traditional ETL workloads and AI. https://lakesail.com/blog/enhanced-udf-support/ https://lakesail.com/blog/enhanced-udf-support/ Announcing Sail 0.2, the latest milestone in the evolution of distributed compute frameworks. Explore how advancements in programming languages and data infrastructure make it possible to unify batch, stream, and AI workloads into a high-performance framework. https://lakesail.com/blog/the-evolution-of-distributed-compute-frameworks/ https://lakesail.com/blog/the-evolution-of-distributed-compute-frameworks/ We are thrilled to unveil the preview release of Sail 0.2, which introduces support for distributed processing on Kubernetes. A detailed architectural deep dive and an overview of our increased support for Spark. https://lakesail.com/blog/the-future-of-distributed-processing/ https://lakesail.com/blog/the-future-of-distributed-processing/ Discover how Sail Enterprise Support empowers your team with dedicated, flexible, and customizable solutions to meet the needs of your organization. https://lakesail.com/blog/support/ https://lakesail.com/blog/support/ Deriving insights from your data shouldn't cost you an arm, a leg, and a kidney. Learn how you can work directly with your data in Amazon S3 using Sail, saving both time and money. https://lakesail.com/blog/tackling-redshift-bill/ https://lakesail.com/blog/tackling-redshift-bill/ We are thrilled to announce the 0.1 release of Sail. Get started with the PySail package today, and check out the documentation site. https://lakesail.com/blog/first-pysail-release/ https://lakesail.com/blog/first-pysail-release/ The preview of Sail is here. In the derived TPC-H benchmark, Sail achieves nearly 4x speed-up and 94% hardware cost reduction, with the same PySpark code. https://lakesail.com/blog/supercharge-spark/ https://lakesail.com/blog/supercharge-spark/