Apache Fluss
A streaming storage for real-time analytics
At a glance
- Editor scoreNot yet scored
- PricingFree plan
- Best forTeams building self-managed streaming data storage
- Free planYes
- Paid fromNone
- Deployment optionsSelf_hosted
- Facts checked24 Sep 2026
Where it wins
- Handles append-oriented logs and updatable primary-key records.
- Serves continuously arriving data for real-time analytics.
- Integrates with Apache Flink stream processing.
Where it doesn't
- Self-hosted deployment puts distributed operations on your team.
- Focused on structured streaming data, not broad data-platform workloads.
- Support centers on documentation and community channels.
Our verdict on Apache Fluss
Apache Fluss is open-source streaming storage for real-time analytics, aimed at mid-market and enterprise teams that operate their own distributed data infrastructure. It stores continuously arriving structured data and is designed for self-hosted deployment on Linux. The system fits organizations building streaming pipelines rather than teams looking for a hosted SaaS service managed by a vendor. Its core model combines durable storage with stream-processing workflows, giving engineering teams control over deployment and data-serving architecture.
The feature set covers two useful table patterns. Log tables support append-oriented event streams, while primary-key tables support records that change over time. Fluss also provides real-time analytics data serving and integrates with Apache Flink, connecting storage with stream processing in the same ecosystem. This combination suits teams that need continuously updated data available for analytical access, while keeping processing and storage components within an open-source stack. The published deployment model is distributed and self-managed, so platform teams can align operation with their existing infrastructure practices.
Apache Fluss uses an open-source pricing model with a free plan rather than tiered commercial SaaS packages. That keeps software access straightforward, but the organization remains responsible for running and maintaining the deployment. Documentation and community channels are the listed support paths, which fits teams comfortable owning infrastructure and troubleshooting through project resources. Choose Fluss when self-managed streaming storage, Flink integration, log and primary-key tables, and real-time serving are central requirements. Teams seeking hosted operations, broader data-platform coverage, or managed support should consider a different category fit.
Apache Fluss pricing
Apache Fluss fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Deployment options | Self_hosted |
| Data connectors | Not verified |
| Data governance | Not verified |
| Data preparation | Not verified |
| Vector search | Not verified |
| Supported data types | structured |
| Deployment | Self-hosted |
| Platforms | Linux |
| Support | Docs, Community |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 1 integrations: Apache Flink |
| Pricing | Free plan |
| Website | fluss.apache.org |
| Facts checked | 24 Sep 2026 |
Apache Fluss integrations
Apache Fluss lists 1 integrations on its own site.
- Apache Flink
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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