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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Massive vs PostgREST

Massive vs PostgREST

OverviewComparisonAlternatives

Overview

PostgREST
PostgREST
Stacks59
Followers119
Votes8
Massive
Massive
Stacks4
Followers14
Votes0

Massive vs PostgREST: What are the differences?

  1. Database Support: Massive is a query builder for PostgreSQL, providing a way to interact with Postgres databases. On the other hand, PostgREST is an automatic REST API generator for PostgreSQL. While Massive focuses on querying and accessing data, PostgREST is designed specifically for creating RESTful APIs directly from your database schema.

  2. Complexity: Massive allows for complex querying and data manipulation, offering more flexibility in crafting tailored SQL queries. In contrast, PostgREST simplifies the process by automatically generating a RESTful API based on your database schema, reducing the complexity of API development.

  3. API Development: Massive requires manual effort to design and implement APIs for interacting with the database. With PostgREST, APIs are automatically generated, reducing the time and effort required for API development and maintenance.

  4. Performance: In terms of performance, Massive provides more control over query optimization and execution, allowing for fine-tuning to improve database performance. PostgREST, being an automatic API generator, may sacrifice some level of performance optimization in favor of convenience and ease of use.

  5. Scalability: Massive offers more flexibility in scaling database operations, allowing for custom optimizations based on specific requirements. PostgREST, on the other hand, provides a more standardized approach to API generation, which may limit certain scalability options in highly complex or customized scenarios.

  6. Customization: Massive enables extensive customization of SQL queries and interactions with the database, while PostgREST offers predefined API endpoints based on the database schema, limiting the degree of customization available for API endpoints.

In Summary, Massive and PostgREST differ in their database support, complexity, API development approach, performance optimization, scalability options, and customization capabilities.

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Detailed Comparison

PostgREST
PostgREST
Massive
Massive

PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.

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.

Statistics
Stacks
59
Stacks
4
Followers
119
Followers
14
Votes
8
Votes
0
Pros & Cons
Pros
  • 4
    Fast, simple, powerful REST APIs from vanilla Postgres
  • 2
    JWT authentication
  • 1
    Very fast
  • 1
    Declarative role based security at the data layer
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to PostgREST, Massive?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

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.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

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.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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