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Massive vs Redsmin

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Massive
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Redsmin
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Massive vs Redsmin: 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, Redsmin is detailed as "All-in-one fully featured GUI for Redis". Redsmin is an all-in-one GUI for Redis, a tightly crafted developer oriented, online real-time monitoring and administration service for Redis.

Massive and Redsmin belong to "Database Tools" category of the tech stack.

Massive is an open source tool with 2.55K GitHub stars and 194 GitHub forks. Here's a link to Massive's open source repository on GitHub.

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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 Redsmin?

Redsmin is an all-in-one GUI for Redis, a tightly crafted developer oriented, online real-time monitoring and administration service for Redis.

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What companies use Massive?
What companies use Redsmin?
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    What tools integrate with Massive?
    What tools integrate with Redsmin?
    What are some alternatives to Massive and Redsmin?
    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

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