Apache Phoenix vs. MySQL vs. Oracle Advanced Security vs. EDB Postgres Advanced Server 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.

Encrypt application tablespaces to prevent out-of-band access to sensitive data using Oracle Advanced Security. Redaction policies prevent the proliferation of sensitive data and aid in compliance with data protection regulations. Transparent Data Encryption (TDE) stops would-be attackers from bypassing the database and reading sensitive information directly from storage by enforcing data-at-rest encryption in the database layer. Encrypt individual data columns, entire tablespaces, database exports, and backups to control access to sensitive data. Data Redaction complements TDE by reducing the risk of unauthorized data exposure in applications, redacting sensitive data before it leaves the database. Partial or full redaction prevents large-scale extraction of sensitive data into reports and spreadsheets. Encryption is implemented at the database kernel level, eliminating the need for any changes to applications.