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Knex.js

179
403
+ 1
49
Massive

0
14
+ 1
0
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Knex.js vs Massive: What are the differences?

<Write Introduction here>

1. **Data Handling Approach**: Knex.js is a query builder that helps in constructing SQL queries in a flexible and dynamic way, whereas Massive is a data access tool that simplifies working with PostgreSQL databases by abstracting the database interactions into JavaScript functions.
2. **Support for Multiple Databases**: Knex.js supports a variety of relational databases like PostgreSQL, MySQL, SQLite, and more, whereas Massive is specifically designed to work with PostgreSQL databases only.
3. **Query Building Flexibility**: Knex.js allows for dynamic query building with method chaining and conditional building of queries, while Massive provides a simpler and more streamlined API for querying and interacting with the database.
4. **Integration with Express.js**: Knex.js is commonly used in conjunction with Express.js to build RESTful APIs and web applications, whereas Massive can also be integrated with Express but is more commonly used for enterprise-level applications.
5. **ORM Capabilities**: Knex.js lacks ORM capabilities and mainly focuses on query building, whereas Massive comes with built-in support for Object-Relational Mapping (ORM) to simplify database interactions.
6. **Community and Documentation**: Knex.js has a larger community and extensive documentation available online, making it easier for developers to find solutions and resources, while Massive has a smaller community but still provides sufficient documentation for usage.

In Summary, Knex.js and Massive differ in data handling approach, support for databases, query building flexibility, integration with Express.js, ORM capabilities, and community resources.

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Pros of Knex.js
Pros of Massive
  • 11
    Write once and then connect to almost any sql engine
  • 10
    Faster
  • 8
    Nice api, Migrations/Seeds
  • 7
    Flexibility in what engine you choose
  • 7
    Free
  • 5
    Multi support and easy to use
  • 1
    Simple query API
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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.

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    What companies use Knex.js?
    What companies use Massive?
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      What tools integrate with Knex.js?
      What tools integrate with Massive?

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      What are some alternatives to Knex.js and Massive?
      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.
      Slick
      It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
      Spring Data
      It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
      DataGrip
      A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
      DBeaver
      It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
      See all alternatives