Apache HBase vs. Apache Phoenix vs. SkySQL vs. dbForge Data Generator 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.

dbForge Data Generator for MySQL is a powerful GUI tool for creating massive volumes of realistic test data. The tool includes a large collection of predefined data generators with customizable configuration options that allow to populate MySQL database tables with meaningful data of various types. Key Features: - AI Assistant integration - Support of MySQL server, MariaDB, Percona Server - Full support of all essential column data types - Wide range of basic generators - 180+ meaningful generators - User-defined generators - Data customization for each individual generator - SQL data integrity support - Multiple ways to populate data - User-friendly wizard interface - Real-time preview of generated data - Command-line interface - Python Generator - Support for Spatial data types