Need advice about which tool to choose?Ask the StackShare community!
Add tool
Apache Camel vs Apache NiFi: What are the differences?
Apache Camel: A versatile open source integration framework. An open source Java framework that focuses on making integration easier and more accessible to developers; Apache NiFi: A reliable system to process and distribute data. An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
Apache Camel belongs to "Integration Tools" category of the tech stack, while Apache NiFi can be primarily classified under "Stream Processing".
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of Apache Camel
Pros of Apache NiFi
Pros of Apache Camel
- Based on Enterprise Integration Patterns5
- Has over 250 components4
- Free (open source)4
- Highly configurable4
- Open Source3
- Has great community2
Pros of Apache NiFi
- Visual Data Flows using Directed Acyclic Graphs (DAGs)17
- Free (Open Source)8
- Simple-to-use7
- Scalable horizontally as well as vertically5
- Reactive with back-pressure5
- Fast prototyping4
- Bi-directional channels3
- End-to-end security between all nodes3
- Built-in graphical user interface2
- Can handle messages up to gigabytes in size2
- Data provenance2
- Lots of documentation1
- Hbase support1
- Support for custom Processor in Java1
- Hive support1
- Kudu support1
- Slack integration1
- Lot of articles1
Sign up to add or upvote prosMake informed product decisions
Cons of Apache Camel
Cons of Apache NiFi
Cons of Apache Camel
Be the first to leave a con
Cons of Apache NiFi
- HA support is not full fledge2
- Memory-intensive2
- Kkk1
Sign up to add or upvote consMake informed product decisions
- No public GitHub repository available -
What is Apache Camel?
An open source Java framework that focuses on making integration easier and more accessible to developers.
What is Apache NiFi?
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
Need advice about which tool to choose?Ask the StackShare community!
What companies use Apache Camel?
What companies use Apache NiFi?
What companies use Apache Camel?
What companies use Apache NiFi?
See which teams inside your own company are using Apache Camel or Apache NiFi.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Apache Camel?
What tools integrate with Apache NiFi?
What tools integrate with Apache Camel?
What tools integrate with Apache NiFi?
Sign up to get full access to all the tool integrationsMake informed product decisions
What are some alternatives to Apache Camel and Apache NiFi?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
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.
Spring Batch
It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems.
It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Talend
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.