Phoenix – an ultra-fast SQL layer on top of Hbase

In plain words

Phoenix is a SQL layer that runs on top of HBase, enabling users to query HBase data using standard SQL and JDBC. It supports low-latency online transaction processing and operational analytics on Hadoop clusters, offering full ACID transaction capabilities alongside schema-on-read flexibility. Phoenix integrates with Spark, Hive, Pig, Flume, and MapReduce, allowing teams to perform real-time SQL queries on operational data while maintaining transactional consistency.

written from the facts on this page · September 2026

From the sources

Query HBase with standard SQL and JDBC. Low latency OLTP and operational analytics for Hadoop. The trusted data platform for OLTP and operational analytics on Hadoop. Use familiar SQL queries and JDBC APIs with full ACID transaction capabilities. Low latency performance for small queries or seconds for tens of millions of rows. Schema-on-read flexibility from the NoSQL world leveraging HBase as backing store. Fully integrated with Spark, Hive, Pig, Flume, and Map Reduce. Real-time SQL queries on operational data with ACID guarantees for business insights. Transactional workloads with millisecond response times and full ACID support. Build SaaS applications with tenant isolation using views…from phoenix.incubator.apache.org

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