Massive vs Open PostgreSQL Monitoring

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Massive

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Open PostgreSQL Monitoring

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Massive vs Open PostgreSQL Monitoring: What are the differences?

Developers describe Massive as "A Postgres-Centric Data Access Tool". Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement. On the other hand, Open PostgreSQL Monitoring is detailed as "Oversee and Manage Your PostgreSQL Servers". Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.

Massive and Open PostgreSQL Monitoring belong to "Database Tools" category of the tech stack.

Massive and Open PostgreSQL Monitoring are both open source tools. Massive with 2.55K GitHub stars and 194 forks on GitHub appears to be more popular than Open PostgreSQL Monitoring with 149 GitHub stars and 10 GitHub forks.

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What is Massive?

Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

What is Open PostgreSQL Monitoring?

Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.

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What companies use Massive?
What companies use Open PostgreSQL Monitoring?
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    What tools integrate with Massive?
    What tools integrate with Open PostgreSQL Monitoring?
    What are some alternatives to Massive and Open PostgreSQL Monitoring?
    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
    See all alternatives