Build a unified, high-performance analytics platform with the open data lakehouse architecture. Combine the flexibility of a data lake with the reliability of a warehouse using open standards.
Unified Access
Eliminate data silos. Query your data where it lives—in S3, ADLS, or GCS—without moving it.
Open Standards
Avoid vendor lock-in. Use open formats like Apache Iceberg and open catalogs to keep your data accessible to any engine.
High Performance
Achieve sub-second query performance on data lake scale datasets using engines like Dremio.
The Data Lakehouse Hub is your central resource for tutorials, architectural guides, and community support. Whether you're migrating from a warehouse or building from scratch, we have the resources to help you succeed with open data standards.
Deep dives into Apache Iceberg, Agentic AI, and modern Data Lakehouse architecture by Alex Merced.
Discover how autonomous AI agents replace manual dashboard querying by reading governed semantic layers directly on your data lakehouse, delivering faster and more reliable analytical results.
Read ArticleLearn how Apache Iceberg turned raw Parquet files in S3 into a fully ACID-compliant, time-traveling analytical database without moving your data out of object storage.
Read ArticleSurvey data from data professionals reveals adoption rates, popular tooling, and where the Apache Iceberg ecosystem is heading through 2026 and beyond.
Read ArticleTable formats like Apache Iceberg solved the ACID, schema evolution, and query performance problems that turned data lakes into unmanageable data swamps.
Read ArticleA comprehensive beginner-to-intermediate introduction to Apache Iceberg, covering its metadata layer, catalog integrations, and why it has become the dominant open table format.
Read ArticleExplore how a semantic layer provides the business context and governed metrics that AI agents require to generate accurate, trustworthy analytical answers at scale.
Read Article
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