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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Liquibase vs MapDB

Liquibase vs MapDB

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks638
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
MapDB
MapDB
Stacks8
Followers49
Votes0

Liquibase vs MapDB: What are the differences?

Liquibase: Source control for your database. Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management; MapDB: Concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

Liquibase and MapDB are primarily classified as "Database" and "In-Memory Databases" tools respectively.

Some of the features offered by Liquibase are:

  • Supports code branching and merging
  • Supports multiple developers
  • Supports multiple database types

On the other hand, MapDB provides the following key features:

  • Concurrency
  • Writing database
  • Code duplication and not invented here

Liquibase is an open source tool with 1.83K GitHub stars and 1.1K GitHub forks. Here's a link to Liquibase's open source repository on GitHub.

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Detailed Comparison

Liquibase
Liquibase
MapDB
MapDB

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.

MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

Supports code branching and merging;Supports multiple developers;Supports multiple database types;Supports XML, YAML, JSON and SQL formats;Supports context-dependent logic;Cluster-safe database upgrades;Generate Database change documentation;Rollbacks;Generate Database "diff's";Run through your build process, embedded in your application or on demand;Automatically generate SQL scripts for DBA code review;Does not require a live database connection;Stored logic
Concurrency; Writing database; Code duplication and not invented here; Does not integrate with default tools and defacto standards; Did not follow test driven development; Not enough performance testing. ...
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
638
Stacks
8
Followers
648
Followers
49
Votes
70
Votes
0
Pros & Cons
Pros
  • 18
    Many DBs supported
  • 18
    Great database tool
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
Cons
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds
No community feedback yet
Integrations
Amazon RDS for MariaDB
Amazon RDS for MariaDB
Travis CI
Travis CI
SAP HANA
SAP HANA
Oracle
Oracle
PostgreSQL
PostgreSQL
Sybase
Sybase
jFrog
jFrog
GitHub Actions
GitHub Actions
Firebird
Firebird
IBM DB2
IBM DB2
Presto
Presto
Clever Cloud
Clever Cloud
SignalFx
SignalFx
Datadog
Datadog
OpsDash
OpsDash
Actionhero
Actionhero

What are some alternatives to Liquibase, MapDB?

Redis

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.

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.

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.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

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.

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