Apache NiFi
7.8#1 in etl softwareFree planFree planWebAPILinuxmacOS
VisitApache NiFi vs Kafka Streams
Kafka Streams
6.2#13 in stream processing softwareFree planFree planLinuxmacOSSelf-hostedWindows
VisitWhat both publish
| Fact | Apache NiFi | Kafka Streams |
|---|---|---|
| Deployment | NiFi runs in a JVM on a host operating system and can be installed from a downloaded ZIP archive. | Kafka Streams applications can be deployed to containers, virtual machines, bare metal, or cloud environments. |
| Integrations | The component catalog lists connectors for Kafka, AWS services, Azure services, Google Cloud, databases, HDFS, Elasticsearch, MQTT, Slack, FTP and many other systems. | Kafka's ecosystem includes tools for stream processing, Hadoop integration, monitoring, and deployment, and Kafka Connect provides connectors for external systems. |
| License | The project uses Apache License Version 2.0 and distributes LICENSE and NOTICE files with source and binary packages. | Apache Software Foundation software is licensed under the Apache License 2.0. |
| Purpose | NiFi automates the flow of data between systems, including cybersecurity, observability, event stream, and generative AI data pipelines. | Kafka Streams is a client library for building applications and microservices whose input and output data are stored in Kafka clusters. |
| Security | The project homepage lists HTTPS, configurable authentication, multi-tenant authorization, and encrypted communications such as TLS and SSH. | Kafka Streams natively integrates with Kafka security features, including encryption in transit, client authentication, and client authorization. |
Apache NiFi plans
- Apache NiFiFree
- Apache NiFi self-hosted open-source distributionFree
Kafka Streams plans
- Apache Kafka StreamsFree
Pick Apache NiFi if…
NiFi suits teams that need to automate and monitor data movement among systems, with adjustable flow controls and provenance tracking. It can also suit deployments that need clustering or smaller edge-device setups through MiNiFi.
Pick Kafka Streams if…
It suits Java or Scala developers building applications that process data stored in Kafka. Teams that need stateful stream processing without a separate processing cluster may find its architecture useful.