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

Liquibase vs MarkLogic

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks639
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
MarkLogic
MarkLogic
Stacks43
Followers71
Votes26

Liquibase vs MarkLogic: What are the differences?

Developers describe Liquibase as "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. On the other hand, MarkLogic is detailed as "Schema-agnostic Enterprise NoSQL database technology, coupled w/ powerful search & flexible application services". MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.

Liquibase belongs to "Database Tools" category of the tech stack, while MarkLogic can be primarily classified under "Databases".

Some of the features offered by Liquibase are:

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

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

  • Search and Query
  • ACID Transactions
  • High Availability and Disaster Recovery

"Great database tool" is the primary reason why developers consider Liquibase over the competitors, whereas "RDF Triples" was stated as the key factor in picking MarkLogic.

Liquibase is an open source tool with 1.79K GitHub stars and 1.09K GitHub forks. Here's a link to Liquibase's open source repository on GitHub.

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Detailed Comparison

Liquibase
Liquibase
MarkLogic
MarkLogic

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.

MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.

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
Search and Query;ACID Transactions;High Availability and Disaster Recovery;Replication;Government-grade Security;Scalability and Elasticity;On-premise or Cloud Deployment;Hadoop for Storage and Compute;Semantics;Faster Time-to-Results
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
639
Stacks
43
Followers
648
Followers
71
Votes
70
Votes
26
Pros & Cons
Pros
  • 18
    Great database tool
  • 18
    Many DBs supported
  • 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
Pros
  • 5
    RDF Triples
  • 3
    Marklogic is absolutely stable and very fast
  • 3
    REST API
  • 3
    JavaScript
  • 3
    Enterprise
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
No integrations available

What are some alternatives to Liquibase, MarkLogic?

MongoDB

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.

MySQL

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

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.

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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.

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