Apache NiFi vs Timely Dataflow
Apache NiFi
nifi.apache.orgTimely Dataflow
timelydataflow.github.ioSide by side
| Figure | Apache NiFi | Timely Dataflow |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 0 |
| Spec score · Stream Processing Software | 8.9 (#4) | 6.6 (#23) |
| Installation | Downloads provide tar.gz packaging aimed at Linux and ZIP packaging aimed at Windows, while macOS users can use the tarball or Homebrew. | The README shows adding the timely crate to a Rust project's Cargo.toml dependencies. |
| License | The project uses Apache License Version 2.0 and distributes LICENSE and NOTICE files with source and binary packages. | The GitHub repository identifies the project as MIT licensed. |
| Purpose | NiFi automates the flow of data between systems, including cybersecurity, observability, event stream, and generative AI data pipelines. | Timely Dataflow is a system for implementing distributed streaming computation and a way to structure computation generally. |
| Scaling | NiFi supports clustering and can also be scaled down for edge devices through the MiNiFi subproject. | The same program can scale from one thread on a laptop to distributed execution across a cluster of computers. |
Plans
Apache NiFi
- Apache NiFiFree
- Apache NiFi self-hosted open-source distributionFree
In their own words
Apache NiFi
Apache NiFi is free, open-source software for automating data movement between systems, including cybersecurity, observability, event stream, and generative AI pipelines. Its browser-based interface lets users design, control, and monitor dataflows and receive feedback. NiFi records and indexes provenance data to track information as it passes through the system. Flow controls include guaranteed delivery, back pressure, prioritized queues, and quality-of-service settings for individual flows. Users can change dataflows while they run, applying updates to affected components without stopping the whole flow. Documented processors connect to Kafka, AWS, Azure, Google Cloud, databases, Slack, S3, and Salesforce. Security features include HTTPS, configurable authentication, multi-tenant authorization, and encrypted communications such as TLS and SSH. NiFi runs in a JVM on a host operating system and can be installed from a ZIP archive. It supports clustering and can scale down to edge devices through MiNiFi. The project lists a users mailing list and Slack workspace for questions and problem reports. Its security model assigns users responsibility for operating-system commands and custom code they configure.
Timely Dataflow
Timely Dataflow has no write-up on Specifiction yet; its figures are above.