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🔧 Apache HBase

Apache HBase

The Hadoop database, a distributed, scalable, big data store.

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Overview

Apache HBase is an open-source, non-relational, distributed database modeled after Google's Bigtable and is written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System), providing Bigtable-like capabilities for Hadoop.

✨ Key Features

  • Strongly consistent reads and writes
  • Automatic and configurable sharding of tables
  • Automatic failover support between RegionServers
  • Block cache and Bloom Filters for real-time queries
  • Easy to use Java API for client access

🎯 Key Differentiators

  • Tight integration with the Hadoop ecosystem
  • Strong consistency for reads and writes
  • Proven scalability in large-scale deployments

Unique Value: Apache HBase provides a scalable and strongly consistent database for the Hadoop ecosystem.

🎯 Use Cases (3)

Large-scale data processing and analytics Storing and accessing large volumes of sparse data Real-time data ingestion and analysis

✅ Best For

  • Powering large-scale data analytics platforms
  • Serving as a storage layer for Hadoop-based applications

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Applications requiring full ACID transactions
  • Small-scale applications that do not require the scalability of HBase

🏆 Alternatives

Apache Cassandra Google Cloud Bigtable ScyllaDB

HBase offers stronger consistency guarantees than Cassandra. Its tight integration with Hadoop is a key advantage for big data applications.

💻 Platforms

Linux

🔌 Integrations

Apache Hadoop Apache Hive Apache Phoenix Apache Spark

🔒 Compliance & Security

✓ GDPR ✓ SSO ✓ Dependent on the deployment environment

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open-source and free to use.

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