Apache HBase NoSQL Database Big Data Vietnam

Column-Oriented Storage - Efficient for sparse data and wide tables; stores data by column families for faster access to specific fields. Scalable & Distributed - Handles billions of rows and millions of columns across a cluster of commodity hardware. Real-Time Access - Supports low-latency read/write operations—unlike batch-based Hadoop MapReduce. Hadoop Integration - Natively integrates with HDFS, MapReduce, Hive, Pig, and Spark for big data analytics. Flexible Schema - Schema-less design lets you dynamically add columns without altering the table structure. Automatic Sharding (Region Splitting) - Horizontally partitions data across nodes for performance and scalability. Strong Consistency - Guarantees immediate consistency for read/write operations (unlike some eventual-consistency NoSQL systems).