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Azure Cosmos DB

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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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Pros of Azure Cosmos DB
Pros of Liquibase
  • 28
    Best-of-breed NoSQL features
  • 22
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Tunable consistency
  • 10
    Always on with 99.99% availability sla
  • 7
    Javascript language integrated transactions and queries
  • 6
    Predictable performance
  • 5
    High performance
  • 5
    Analytics Store
  • 2
    Rapid Development
  • 2
    No Sql
  • 2
    Auto Indexing
  • 2
    Ease of use
  • 18
    Many DBs supported
  • 18
    Great database tool
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
  • 5
    Unique open source tool
  • 2
    Precondition checking
  • 1
    Supports NoSQL and Graph DBs

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Cons of Azure Cosmos DB
Cons of Liquibase
  • 18
    Pricing
  • 4
    Poor No SQL query support
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds

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What is Azure Cosmos DB?

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.

What is 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.

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What companies use Azure Cosmos DB?
What companies use Liquibase?
See which teams inside your own company are using Azure Cosmos DB or Liquibase.
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What tools integrate with Azure Cosmos DB?
What tools integrate with Liquibase?

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What are some alternatives to Azure Cosmos DB and Liquibase?
Azure SQL Database
It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
MongoDB Atlas
MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
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.
Neo4j
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
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.
See all alternatives