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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. AWS Database Migration Service vs Spring Data

AWS Database Migration Service vs Spring Data

OverviewComparisonAlternatives

Overview

Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84
AWS Database Migration Service
AWS Database Migration Service
Stacks24
Followers33
Votes0

Spring Data vs AWS Database Migration Service: What are the differences?

Spring Data: Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond. 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; AWS Database Migration Service: Migrate your databases to AWS with minimal downtime. It helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database.

Spring Data and AWS Database Migration Service can be primarily classified as "Database" tools.

Some of the features offered by Spring Data are:

  • Powerful repository
  • Custom object-mapping abstractions
  • Dynamic query derivation

On the other hand, AWS Database Migration Service provides the following key features:

  • Simple to use
  • Minimal downtime
  • Supports widely used databases

Spring Data is an open source tool with 61 GitHub stars and 64 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.

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Detailed Comparison

Spring Data
Spring Data
AWS Database Migration Service
AWS Database Migration Service

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.

It helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database.

Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Simple to use; Minimal downtime; Supports widely used databases; Low cost; Fast and easy to set-up
Statistics
GitHub Stars
95
GitHub Stars
-
GitHub Forks
84
GitHub Forks
-
Stacks
883
Stacks
24
Followers
408
Followers
33
Votes
0
Votes
0
Integrations
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB
PostgreSQL
PostgreSQL
MariaDB
MariaDB
Amazon EC2
Amazon EC2
MySQL
MySQL
Amazon DynamoDB
Amazon DynamoDB
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift
Oracle
Oracle
Microsoft SQL Server
Microsoft SQL Server
Sybase
Sybase

What are some alternatives to Spring Data, AWS Database Migration Service?

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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