Onehouse
onehouse.ai
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Overview
Onehouse provides a managed data lakehouse built on Apache Hudi, the table format its founder created at Uber. Established in 2021 in California, it keeps data in open formats so that any engine, including machine learning frameworks, can read it. The service automates ingestion, compaction and optimisation.
News
Databricks Iceberg Support Has a Catch. It
Databricks says "full Apache Iceberg support," but its own documentation reveals a catalog-gated implementation, core Iceberg features are missing, and the flagship products still require Delta.
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Announcing Onehouse Lakegres: database speeds finally on the lakehouse
Your AI Agents can now vibe context data at scale, without bothering your operational databases.
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Inflated data lakehouse costs and latencies? - Blame S3's choice of HTTP/1.1
Discover why Amazon S3's reliance on HTTP/1.1 leads to higher latency, head-of-line blocking, and inflated data lakehouse costs-compared to GCS's HTTP/2 performance. Learn how Onehouse mitigates these inefficiencies with smarter execution, concurrency, an
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Apache Iceberg vs Delta Lake vs Apache Hudi - Feature Comparison Deep Dive
A thorough comparison of the Apache Hudi, Delta Lake, and Apache Iceberg data lakehouse projects across features, community, and performance benchmarks. This includes a focus on common use cases such as change data capture (CDC) and data ingestion.
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Measuring ETL Price-Performance On Cloud Data Platforms
Read this comprehensive breakdown of current ETL benchmarking practices along with an interactive cost calculator for popular cloud platforms like AWS EMR, Databricks and Snowflake.
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