Amazon DynamoDB vs Liquibase

Overview

Amazon DynamoDB

Stacks4.0K

Followers3.2K

Votes195

Liquibase

Stacks638

Followers648

Votes70

GitHub Stars5.3K

Forks1.9K

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.

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.
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.
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.
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.
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.
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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Advice on Amazon DynamoDB, Liquibase

Doru

Solution Architect

Jun 9, 2019

Reviewon

Amazon DynamoDB

I use Amazon DynamoDB because it integrates seamlessly with other AWS SaaS solutions and if cost is the primary concern early on, then this will be a better choice when compared to AWS RDS or any other solution that requires the creation of a HA cluster of IaaS components that will cost money just for being there, the costs not being influenced primarily by usage.

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Detailed Comparison

Amazon DynamoDB	Liquibase
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.	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.
Automated Storage Scaling – There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs;Provisioned Throughput – When creating a table, simply specify how much request capacity you require. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity;Fully Distributed, Shared Nothing Architecture	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 4.0K	Stacks 638
Followers 3.2K	Followers 648
Votes 195	Votes 70
Pros & Cons
Pros 62 Predictable performance and cost 56 Scalable 35 Native JSON Support 21 AWS Free Tier 7 Fast Cons 4 Only sequential access for paginate data 1 Scaling 1 Document Limit Size	Pros 18 Great database tool 18 Many DBs supported 12 Easy setup 8 Database independent migration scripts 5 Unique open source tool Cons 5 Documentation is disorganized 5 No vendor specifics in XML format - needs workarounds
Integrations
Amazon RDS for PostgreSQL PostgreSQL MySQL SQLite Azure Database for MySQL	Amazon RDS for MariaDB Travis CI SAP HANA Oracle PostgreSQL Sybase jFrog GitHub Actions Firebird IBM DB2

What are some alternatives to Amazon DynamoDB, Liquibase?

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

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

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.

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.

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.

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 is a fast, easy-to-use Mac database management application for working with MySQL databases.

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

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 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.

Related Comparisons

Amazon DynamoDB vs Liquibase: What are the differences?

Introduction:

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.
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.
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.
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.
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.
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.

Amazon DynamoDB vs Liquibase

Overview