StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. AWS Database Migration Service vs Kafka

AWS Database Migration Service vs Kafka

OverviewDecisionsComparisonAlternatives

Overview

Kafka
Kafka
Stacks24.2K
Followers22.3K
Votes607
GitHub Stars31.2K
Forks14.8K
AWS Database Migration Service
AWS Database Migration Service
Stacks24
Followers33
Votes0

AWS Database Migration Service vs Kafka: What are the differences?

Key Differences between AWS Database Migration Service and Kafka

AWS Database Migration Service and Kafka are both popular tools used for data migration and processing. However, there are several key differences between them:

  1. Architecture: AWS Database Migration Service is a fully managed service provided by Amazon Web Services, while Kafka is an open-source distributed streaming platform. This means that Database Migration Service is a managed service that takes care of the infrastructure and management aspects, whereas Kafka requires manual setup and configuration.

  2. Purpose: Database Migration Service is primarily designed for migrating databases from one technology to another, whether it be from on-premises to the cloud or between different cloud providers. On the other hand, Kafka is a messaging system that is used for building real-time streaming data pipelines and applications.

  3. Flexibility: Kafka offers a highly flexible and scalable architecture, allowing you to build complex event-driven systems. It provides features like fault-tolerance, scalability, and stream processing, making it a powerful tool for real-time data streaming. In contrast, Database Migration Service focuses on simplifying and streamlining the process of migrating databases, providing tools and services specifically tailored for this purpose.

  4. Data Transformations: With Kafka, you have the ability to transform data while it is being processed, allowing you to perform various operations such as filtering, aggregating, and joining data streams. This makes Kafka well-suited for complex data processing scenarios. Database Migration Service, on the other hand, is primarily focused on transferring data from one database to another without the need for complex transformations.

  5. Compatibility: Database Migration Service supports a wide range of database engines, including MySQL, Oracle, PostgreSQL, Microsoft SQL Server, and more. It provides a simple and seamless migration experience for these databases. Kafka, on the other hand, is agnostic to the underlying database technology and can be used with any database or data source, as long as you can connect to it and stream data from it.

  6. Ecosystem: Kafka has a rich ecosystem with a wide range of connectors, tools, and libraries available, making it easier to integrate with other systems and services. It has extensive support from the open-source community and is widely adopted across various industries. Database Migration Service, being a managed service provided by AWS, has a more limited ecosystem compared to Kafka.

In summary, while both AWS Database Migration Service and Kafka are used for data migration and processing, Database Migration Service is a managed service focused on simplifying database migrations, while Kafka is an open-source streaming platform designed for building real-time data pipelines and applications. Kafka offers a more flexible and scalable architecture, while Database Migration Service provides a seamless migration experience with support for various database engines.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Kafka, AWS Database Migration Service

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
Ishfaq
Ishfaq

Feb 28, 2020

Needs advice

Our backend application is sending some external messages to a third party application at the end of each backend (CRUD) API call (from UI) and these external messages take too much extra time (message building, processing, then sent to the third party and log success/failure), UI application has no concern to these extra third party messages.

So currently we are sending these third party messages by creating a new child thread at end of each REST API call so UI application doesn't wait for these extra third party API calls.

I want to integrate Apache Kafka for these extra third party API calls, so I can also retry on failover third party API calls in a queue(currently third party messages are sending from multiple threads at the same time which uses too much processing and resources) and logging, etc.

Question 1: Is this a use case of a message broker?

Question 2: If it is then Kafka vs RabitMQ which is the better?

804k views804k
Comments
Roman
Roman

Senior Back-End Developer, Software Architect

Feb 12, 2019

ReviewonKafkaKafka

I use Kafka because it has almost infinite scaleability in terms of processing events (could be scaled to process hundreds of thousands of events), great monitoring (all sorts of metrics are exposed via JMX).

Downsides of using Kafka are:

  • you have to deal with Zookeeper
  • you have to implement advanced routing yourself (compared to RabbitMQ it has no advanced routing)
10.8k views10.8k
Comments

Detailed Comparison

Kafka
Kafka
AWS Database Migration Service
AWS Database Migration Service

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

It helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database.

Written at LinkedIn in Scala;Used by LinkedIn to offload processing of all page and other views;Defaults to using persistence, uses OS disk cache for hot data (has higher throughput then any of the above having persistence enabled);Supports both on-line as off-line processing
Simple to use; Minimal downtime; Supports widely used databases; Low cost; Fast and easy to set-up
Statistics
GitHub Stars
31.2K
GitHub Stars
-
GitHub Forks
14.8K
GitHub Forks
-
Stacks
24.2K
Stacks
24
Followers
22.3K
Followers
33
Votes
607
Votes
0
Pros & Cons
Pros
  • 126
    High-throughput
  • 119
    Distributed
  • 92
    Scalable
  • 86
    High-Performance
  • 66
    Durable
Cons
  • 32
    Non-Java clients are second-class citizens
  • 29
    Needs Zookeeper
  • 9
    Operational difficulties
  • 5
    Terrible Packaging
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL
MariaDB
MariaDB
Amazon EC2
Amazon EC2
MySQL
MySQL
Amazon DynamoDB
Amazon DynamoDB
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift
Oracle
Oracle
Microsoft SQL Server
Microsoft SQL Server
Sybase
Sybase

What are some alternatives to Kafka, AWS Database Migration Service?

dbForge Studio for MySQL

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.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

dbForge Studio for Oracle

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

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.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

dbForge Studio for SQL Server

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.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase