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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.
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.
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.
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.
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.
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.
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.
Pros of Azure Cosmos DB
- Best-of-breed NoSQL features28
- High scalability22
- Globally distributed15
- Automatic indexing over flexible json data model14
- Tunable consistency10
- Always on with 99.99% availability sla10
- Javascript language integrated transactions and queries7
- Predictable performance6
- High performance5
- Analytics Store5
- Rapid Development2
- No Sql2
- Auto Indexing2
- Ease of use2
Pros of Liquibase
- Many DBs supported18
- Great database tool18
- Easy setup12
- Database independent migration scripts8
- Database version controller5
- Unique open source tool5
- Precondition checking2
- Supports NoSQL and Graph DBs1
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Cons of Azure Cosmos DB
- Pricing18
- Poor No SQL query support4
Cons of Liquibase
- Documentation is disorganized5
- No vendor specifics in XML format - needs workarounds5