The overview dashboard reveals which queries slow down your app, and during which times of the day your database performance suffers most. Log Insights and automated EXPLAIN plan insights give actionable advice on how to resolve issues.
pganalyze is a tool in the Databases category of a tech stack.
No pros listed yet.
No cons listed yet.
What are some alternatives to pganalyze?
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
Azure Database for PostgreSQL, Amazon RDS for PostgreSQL, Aiven, Heroku Postgres, Amazon RDS and 5 more are some of the popular tools that integrate with pganalyze. Here's a list of all 10 tools that integrate with pganalyze.