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pganalyze vs TablePlus: What are the differences?
Developers describe pganalyze as "PostgreSQL performance monitoring installed within minutes". A quick look at the dashboard reveals which queries slow down your app, and during which times of the day your database performance suffers most. On the other hand, TablePlus is detailed as "Easily edit database data and structure". TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.
pganalyze and TablePlus belong to "Database Tools" category of the tech stack.
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Pros of TablePlus
Pros of pganalyze
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Pros of TablePlus
- Great tool, sleek UI, run fast and secure connections5
- Free3
- Perfect for develop use2
- Security1
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What is pganalyze?
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.
What is TablePlus?
TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.
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What companies use pganalyze?
What companies use TablePlus?
What companies use pganalyze?
What companies use TablePlus?
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What tools integrate with pganalyze?
What tools integrate with TablePlus?
What tools integrate with pganalyze?
What tools integrate with TablePlus?
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What are some alternatives to pganalyze and TablePlus?
MySQL
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
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
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web