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🔧 Delta Lake

Delta Lake

An open-source storage framework that enables building a Lakehouse architecture.

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Overview

Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs. Delta Lake provides reliability, performance, and data quality for your data lake.

✨ Key Features

  • ACID transactions
  • Scalable metadata handling
  • Time travel (data versioning)
  • Schema enforcement and evolution
  • Unified batch and streaming data processing

🎯 Key Differentiators

  • Deep integration with Apache Spark
  • Strong backing and development from Databricks
  • Simplicity for existing Spark users

Unique Value: Provides a simple and powerful way to add reliability, performance, and ACID transactions to your data lake, especially if you are using Apache Spark.

🎯 Use Cases (5)

Building a reliable data lake Data warehousing on the data lake (Lakehouse) Streaming data ingestion and analytics Data engineering and ETL Data science and machine learning

✅ Best For

  • Creating a highly reliable and performant data lake with ACID transactions, particularly in a Spark-based environment.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Environments that do not use Apache Spark or a compatible query engine.

🏆 Alternatives

Apache Iceberg Apache Hudi

Offers tighter integration with Spark than other table formats, making it easier to get started for Spark users. It provides a more robust solution than using plain Parquet files.

💻 Platforms

Any platform that supports Apache Spark.

✅ Offline Mode Available

🔌 Integrations

Apache Spark Databricks Presto Trino Hive

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source and free to use

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