Amazon DynamoDB vs Liquibase

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Amazon DynamoDB

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Liquibase

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Amazon DynamoDB vs Liquibase: What are the differences?

Introduction:

Amazon DynamoDB and Liquibase are two different technologies used for different purposes. DynamoDB is a NoSQL database service provided by Amazon Web Services (AWS), while Liquibase is an open-source database change management tool.

  1. Infrastructure and Deployment: One key difference between DynamoDB and Liquibase is the infrastructure and deployment approach. DynamoDB is a fully managed service provided by AWS, meaning that the infrastructure and underlying resources are managed by AWS. On the other hand, Liquibase is a tool that needs to be deployed and managed separately.

  2. Focus on Data Storage: DynamoDB primarily focuses on data storage and retrieval. It offers high scalability and performance for storing and retrieving large amounts of structured or semi-structured data. Liquibase, on the other hand, is not a data storage solution but rather a tool for managing database schema changes.

  3. Data Modeling and Schema Design: DynamoDB uses a flexible schema model and does not enforce a predefined schema. It allows you to add, remove, or modify attributes on the fly without downtime or application changes. In contrast, Liquibase relies on a traditional relational database schema design approach with predefined tables, columns, and relationships.

  4. Deployment Flexibility: DynamoDB provides the flexibility to scale up or down the throughput capacity based on the application's needs. You can easily adjust the read and write capacities to handle varying traffic patterns. Liquibase, being a change management tool, does not directly handle infrastructure scaling.

  5. Consistency and ACID Transactions: DynamoDB is designed to provide high availability and performance at the cost of eventual consistency. It ensures that all writes are eventually propagated and consistent across all replicas. Liquibase, being a database management tool, can work with various database systems that offer different levels of consistency and support ACID transactions.

  6. Database versioning and Migration: Liquibase excels in database versioning and migration. It provides features to manage and track database changes over time, allowing you to easily roll back or update schema changes. DynamoDB, being a NoSQL database, does not have built-in support for traditional database versioning and migration techniques.

In summary, Amazon DynamoDB is a managed NoSQL database service that focuses on data storage and scalability, while Liquibase is a database change management tool that helps with schema design, versioning, and migration.

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Pros of Amazon DynamoDB
Pros of Liquibase
  • 62
    Predictable performance and cost
  • 56
    Scalable
  • 35
    Native JSON Support
  • 21
    AWS Free Tier
  • 7
    Fast
  • 3
    No sql
  • 3
    To store data
  • 2
    Serverless
  • 2
    No Stored procedures is GOOD
  • 1
    ORM with DynamoDBMapper
  • 1
    Elastic Scalability using on-demand mode
  • 1
    Elastic Scalability using autoscaling
  • 1
    DynamoDB Stream
  • 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 Amazon DynamoDB
Cons of Liquibase
  • 4
    Only sequential access for paginate data
  • 1
    Scaling
  • 1
    Document Limit Size
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds

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What is 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.

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 Amazon DynamoDB?
What companies use Liquibase?
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What are some alternatives to Amazon DynamoDB and Liquibase?
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
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.
Amazon SimpleDB
Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
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.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
See all alternatives