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🔧 Apache Hudi

Apache Hudi

The Data Lake Platform.

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Overview

Apache Hudi is a data lake platform that brings stream processing to big data, providing fresh data while being an order of magnitude efficient over traditional batch processing. Hudi provides tables, which are a higher level of abstraction over data on a distributed file system, and provides features like upserts, deletes, and incremental data streaming.

✨ Key Features

  • Upserts and incremental processing
  • ACID transactions
  • Pluggable indexing
  • Concurrency control
  • Data clustering and compaction

🎯 Key Differentiators

  • Optimized for fast upserts and incremental processing
  • Pluggable indexing for performance tuning
  • Strong support for streaming use cases

Unique Value: Provides a powerful and flexible platform for building transactional data lakes with fast upserts and incremental data processing, ideal for streaming and CDC use cases.

🎯 Use Cases (5)

Streaming data ingestion Change data capture (CDC) Near real-time data warehousing Data privacy and compliance (e.g., GDPR right to be forgotten) Building transactional data lakes

✅ Best For

  • Creating a transactional data lake with support for fast upserts and incremental data processing.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple, append-only data lake workloads.

🏆 Alternatives

Delta Lake Apache Iceberg

Offers more advanced features for incremental processing and upserts compared to other table formats, making it well-suited for use cases that require low-latency data updates.

💻 Platforms

Any platform that supports a compatible query engine and file system.

✅ Offline Mode Available

🔌 Integrations

Apache Spark Apache Flink Presto Trino Hive

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source and free to use

Visit Apache Hudi Website →

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