Apache NiFi
7.8#1 in etl softwareFree planFree planWebAPILinuxmacOS
VisitApache NiFi vs Apache Samza
Apache Samza
6.0#17 in stream processing softwareFree planFree planAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Apache NiFi | Apache Samza |
|---|---|---|
| Deployment | NiFi runs in a JVM on a host operating system and can be installed from a downloaded ZIP archive. | Samza supports deployment on YARN, Kubernetes, or as a standalone library, and its documentation describes running applications across public clouds, containerized environments, and bare-metal hardware. |
| Integrations | The component catalog lists connectors for Kafka, AWS services, Azure services, Google Cloud, databases, HDFS, Elasticsearch, MQTT, Slack, FTP and many other systems. | Built-in integrations include Apache Kafka, AWS Kinesis, Azure Event Hubs, Elasticsearch, and Apache Hadoop, and custom sources can also be integrated. |
| Purpose | NiFi automates the flow of data between systems, including cybersecurity, observability, event stream, and generative AI data pipelines. | Apache Samza is a distributed stream-processing framework for building stateful applications that process data in real time from multiple sources. |
| Security | The project homepage lists HTTPS, configurable authentication, multi-tenant authorization, and encrypted communications such as TLS and SSH. | The background documentation says Samza works with YARN, which supports Hadoop’s security model, and uses Linux cgroups for resource isolation. |
Apache NiFi plans
- Apache NiFiFree
- Apache NiFi self-hosted open-source distributionFree
Apache Samza plans
- Apache SamzaFree
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 Apache Samza if…
Samza suits developers building real-time stream-processing applications in Java or Scala who can manage a self-hosted deployment. Its range of APIs and integrations may also fit teams processing data from multiple sources.