Apache Phoenix vs. CUBRID vs. SQL Query Tuner vs. dbForge Query Builder for MySQL Comparison Chart

Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.

SQL Query Tuner helps database administrators to tune and profile SQL code for SQL Server. Unlike its competition, it provides automated SQL tuning and performance optimization suggestions with color-coded index analysis, database profiling of wait-time analysis for a single stored routine or an entire data source, SQL stress load testing to simulate a production environment with parallel users and executions over a specific period of time or execution cycle, and review of SQL execution and performance costs using explain plans.