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Pros of Knex.js
- Write once and then connect to almost any sql engine11
- Faster10
- Nice api, Migrations/Seeds8
- Flexibility in what engine you choose7
- Free7
- Multi support and easy to use5
- Simple query API1
Pros of Massive
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What is Knex.js?
Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
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 MySQL Performance Analyzer?
MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.
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What companies use Knex.js?
What companies use Massive?
What companies use MySQL Performance Analyzer?
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What tools integrate with Knex.js?
What tools integrate with Massive?
What tools integrate with MySQL Performance Analyzer?
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What are some alternatives to Knex.js, Massive, and MySQL Performance Analyzer?
Sequelize
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL,
MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and
more.
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.