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Azure Cosmos DB

427
807
+ 1
127
Liquibase

237
462
+ 1
53
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Azure Cosmos DB vs Liquibase: What are the differences?

Developers describe Azure Cosmos DB as "A fully-managed, globally distributed NoSQL database service". 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. On the other hand, Liquibase is detailed 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.

Azure Cosmos DB belongs to "NoSQL Database as a Service" category of the tech stack, while Liquibase can be primarily classified under "Database Tools".

Some of the features offered by Azure Cosmos DB are:

  • 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

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

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

"Best-of-breed NoSQL features" is the primary reason why developers consider Azure Cosmos DB over the competitors, whereas "Great database tool" was stated as the key factor in picking Liquibase.

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.

According to the StackShare community, Azure Cosmos DB has a broader approval, being mentioned in 24 company stacks & 24 developers stacks; compared to Liquibase, which is listed in 15 company stacks and 12 developer stacks.

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Pros of Azure Cosmos DB
Pros of Liquibase
  • 27
    Best-of-breed NoSQL features
  • 20
    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
    Ease of use
  • 2
    No Sql
  • 2
    Rapid Development
  • 2
    Auto Indexing
  • 17
    Great database tool
  • 14
    Many DBs supported
  • 9
    Easy setup
  • 6
    Database independent migration scripts
  • 3
    Database version controller
  • 3
    Unique open source tool
  • 1
    Supports NoSQL and Graph DBs

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Cons of Azure Cosmos DB
Cons of Liquibase
  • 15
    Pricing
  • 3
    Poor No SQL query support
  • 3
    No vendor specifics in XML format - needs workarounds
  • 3
    Documentation is disorganized

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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 a 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