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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Azure Cosmos DB vs Liquibase

Azure Cosmos DB vs Liquibase

OverviewComparisonAlternatives

Overview

Azure Cosmos DB
Azure Cosmos DB
Stacks594
Followers1.1K
Votes130
Liquibase
Liquibase
Stacks639
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K

Azure Cosmos DB vs Liquibase: What are the differences?

Introduction

This is a comparison between Azure Cosmos DB and Liquibase, focusing on their key differences.

  1. Data Storage Model: Azure Cosmos DB uses a NoSQL data storage model, while Liquibase supports a traditional relational database management system (RDBMS) model. This means that Cosmos DB allows for flexible schema design, while Liquibase requires the use of structured tables and predefined schemas.

  2. Scalability: Azure Cosmos DB offers seamless and automatic scaling, allowing users to elastically scale throughput and storage as needed. On the other hand, Liquibase does not provide native scalability features, requiring manual scaling efforts and potential downtime during the process.

  3. Multi-Model Support: Azure Cosmos DB supports multiple data models, including document, key-value, graph, and columnar. It allows developers to choose the most suitable model for their specific use cases. In contrast, Liquibase primarily focuses on managing database schemas within RDBMS and does not support multiple data models.

  4. Global Distribution: Azure Cosmos DB provides global distribution capabilities, allowing data to be replicated across multiple regions worldwide. This enables low-latency access and high availability for applications with a global user base. However, Liquibase does not offer built-in global distribution features.

  5. Consistency vs. Schema Management: Azure Cosmos DB allows developers to choose the consistency level for their data, offering a trade-off between strong consistency and low latency. In contrast, Liquibase primarily focuses on managing database schemas and does not provide explicit options for consistency guarantees.

  6. Pricing Model: Azure Cosmos DB follows a consumption-based pricing model, where users pay for the provisioned throughput and storage they consume. Liquibase, being an open-source tool, does not have any direct pricing associated with it. However, users may incur costs for the underlying databases they use.

In summary, Azure Cosmos DB and Liquibase differ in their data storage models, scalability features, support for multiple data models, global distribution capabilities, consistency options, and pricing models.

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Detailed Comparison

Azure Cosmos DB
Azure Cosmos DB
Liquibase
Liquibase

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

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.

Fully managed with 99.99% Availability SLA;Elastically and highly scalable (both throughput and storage);Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes;Globally distributed with multi-region replication;Rich SQL queries over schema-agnostic automatic indexing;JavaScript language integrated multi-record ACID transactions with snapshot isolation;Well-defined tunable consistency models: Strong, Bounded Staleness, Session, and Eventual
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
Statistics
GitHub Stars
-
GitHub Stars
5.3K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
594
Stacks
639
Followers
1.1K
Followers
648
Votes
130
Votes
70
Pros & Cons
Pros
  • 28
    Best-of-breed NoSQL features
  • 22
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Tunable consistency
Cons
  • 18
    Pricing
  • 4
    Poor No SQL query support
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
Integrations
Azure Machine Learning
Azure Machine Learning
MongoDB
MongoDB
Hadoop
Hadoop
Java
Java
Azure Functions
Azure Functions
Azure Container Service
Azure Container Service
Azure Storage
Azure Storage
Azure Websites
Azure Websites
Apache Spark
Apache Spark
Python
Python
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

What are some alternatives to Azure Cosmos DB, Liquibase?

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.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

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.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

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.

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