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Databricks acquires Neon
Databricks agrees to acquire Neon, a serverless Postgres database company, to bring speed and flexibility to production workloads.
Databricks Blog
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
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Spark as a Compiler: Joining a Billion Rows per Second on a Laptop
Discover how Apache Spark can join a billion rows per second on a laptop, showcasing its powerful data processing capabilities.
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Databricks response to Snowflake's accusation of lacking integrity
Analyze the claims made by Snowflake regarding price/performance compared to Databricks and the counterarguments presented.
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Postgres data stored in Parquet on S3: LTAP architecture explained
Almost every traditional database keeps its write-ahead log and data files on one machine's disk, which is the root cause of data loss risk, expensive read replicas and high-availability clones, and analytics queries that drag down transactions.
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Announcing Apache Spark 1.4
Apache Spark 1.4 introduces SparkR, new DataFrame features, ML pipelines, and enhanced visualization and monitoring tools for better production debugging.
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Spark Breaks Previous Large-Scale Sort Record
Read how Apache Spark sorted 100 TB of data (1 trillion records) 3X faster using 10X fewer machines in 2014.
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Introducing DataFrames in Spark for Large Scale Data Science
Introducing Apache Spark's DataFrame API for easier, efficient big data processing and data science applications.
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Lakebase architecture delivers faster Postgres writes
How Lakebase's storage architecture pushes down full page write generation to cut WAL traffic by 94% and boost Postgres write throughput by up to 5x.
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Announcing Spark 1.3
Apache Spark 1.3 introduces the DataFrame API, enhancing data processing with new features across streaming, ML, and SQL.