Feldera
Feldera: A SQL-first engine for maintaining continuously updated views and pipelines. Ranked #20 of 25 in Stream Processing Software by our editors (7.4/10); pricing: Free plan; best for SQL-first streaming and incremental views.
At a glance
- Editor score7.4 / 10
- PricingFree plan
- Best forSQL-first streaming and incremental views
- Free planYes
- Deployment modelHybrid
- Facts checked21 Sep 2026
Where it wins
- Full SQL with joins, windows, aggregations, and recursive queries
- Incremental updates for inserts, updates, and deletes
- 14 connectors across streaming, databases, files, and data lakes
Where it doesn't
- Open source edition is limited to a single node and container
- Enterprise pricing is custom
- Online sandbox pipelines shut down after 24 hours
Our verdict on Feldera
Feldera is an incremental view maintenance engine for SQL pipelines. It continuously processes inserts, updates, and deletes while maintaining tables and views without recomputing unchanged data. Its SQL support includes joins, aggregations, window queries, recursive queries, temporal filters, and time-series processing with lateness handling. Engineering and data teams can use it for continuously updated analytics, feature engineering, fraud detection, authorization systems, and other streaming workloads.
The open source edition is free under the MIT license and includes full SQL support, all connectors, storage for datasets larger than memory, and community support. It runs as a single node in a single container. The Enterprise edition adds self-hosting in customers’ Kubernetes clusters, multi-node deployments, enterprise SSO and secrets, per-pipeline compute and resource isolation, fault-tolerant pipelines and control plane, dedicated support, and expert consulting. Enterprise pricing is custom. The free online sandbox automatically shuts down pipelines after 24 hours, so teams evaluating it should distinguish that environment from the open source edition.
Feldera’s platform fit is broad for a SQL-first system: integrations include Kafka, Google Pub/Sub, NATS, Debezium, PostgreSQL, PostgreSQL CDC, AWS S3, Delta Lake, Apache Iceberg, HTTP, HTTP GET, Data Generator, and File. Access options include a REST API, Python SDK, web console, and command-line interface, with deployment across web, Windows, macOS, Linux, APIs, and self-hosted environments. Choose Feldera when incremental SQL views, stateful processing, and continuously changing data are central requirements. Teams needing multi-node operations, enterprise identity controls, or dedicated support should consider the Enterprise edition; teams requiring those capabilities without custom pricing may prefer an alternative.
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Feldera pricing
All 2 Feldera plans and prices →
Feldera fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Deployment model | Hybrid |
| SQL processing | Yes |
| Stateful processing | Yes |
| Event-time windows | Yes |
| Supported languages | SQL |
| Source connectors | 14 |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux |
| Compliance & security | SOC 2 |
| Support | Email, Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 13 integrations: Kafka, Google Pub/Sub, NATS, Debezium, PostgreSQL, PostgreSQL CDC … See all → |
| Pricing | Free plan (source) |
| Website | feldera.com |
| Facts checked | 21 Sep 2026 |
Feldera integrations
Feldera lists 13 integrations on its own site.
- Kafka
- Google Pub/Sub
- NATS
- Debezium
- PostgreSQL
- PostgreSQL CDC
- AWS S3
- Delta Lake
- Apache Iceberg
- HTTP
- HTTP GET
- Data Generator
- File
See all Feldera integrations →
Alternatives to Feldera
- Amazon Managed Service for Apache FlinkA managed Flink service for AWS teams building stateful real-time data pipelines.9.3
- Apache FlinkA free, self-hosted engine for complex stateful stream-processing workloads.9.2
- Azure Stream AnalyticsA strong Azure-native choice for SQL-based, stateful stream processing.9.1
See all Feldera alternatives →
Also Ranked In
Feldera is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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