We’re seeing PostgreSQL’s popularity grow dramatically in our customer base. Our focus is helping businesses succeed with PostgreSQL by measuring and understanding query performance, because database performance is query performance.
Charlottesville, VA (PRWEB)
September 05, 2017
VividCortex, the leader in database performance management, today announced expanded capabilities that provide users greater insight into their PostgreSQL workload and query performance, resulting in improved engineering productivity and better application performance, reliability, and uptime. This latest release for PostgreSQL includes full support for PostgreSQL 10 — the open source database’s newest release — and brand new performance management features, such as expanded best practice guidance and SQL query analysis. VividCortex is leading the charge in empowering businesses who need a reliable, efficient way to manage performance and get the most from their PostgreSQL systems.
VividCortex’s team will be unveiling and demoing these expanded features for attendees of PostgresOpen SV 2017 this week in San Francisco, where VividCortex is a Gold Level sponsor and will be present on the show floor at table #5.
“With version 10, the PostgreSQL community has once again improved the world’s most sophisticated open source database,” said Baron Schwartz, VividCortex’s CEO and founder. “We’re seeing PostgreSQL’s popularity grow dramatically in our customer base. Our focus is helping businesses succeed with PostgreSQL by measuring and understanding query performance, because database performance is query performance. Our improved solution for PostgreSQL reflects our commitment to our customers and our excitement about PostgreSQL itself.”
VividCortex has offered support for PostgreSQL since January 2015. This new release provides the best and simplest way for PostgreSQL users to optimize database performance with new and innovative capabilities that include:
Complete Database Visibility:
VividCortex is the first and only solution to provide complete visibility into the execution and performance of every transaction and query in PostgreSQL environments. Using automated profiling as well as intuitive dashboards and visualizations, teams can track latency, throughput, errors, and…