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Feldera
What it is
Feldera is a SQL engine that maintains views as data changes, working alongside a lakehouse or warehouse. Instead of rebuilding a full dataset after each update, it recalculates views in proportion to the change. It supports SQL window functions and recursive queries, with documented inputs such as Kafka, Google Pub/Sub, NATS, PostgreSQL, AWS S3, Delta Lake, and Apache Iceberg. Outputs include Kafka, Delta Lake, PostgreSQL, Redis, DynamoDB, Snowflake, and Iceberg; some output connectors are experimental. The free open-source edition costs nothing and supports a single node in one container, full SQL, all connectors, datasets larger than memory, and community support through Slack. Docker supports local development, testing, and prototyping, and a free online sandbox is available. Enterprise deployment runs on a customer-provided cloud or Kubernetes cluster and adds multi-node operation, fault tolerance, resource isolation, and dedicated support. Enterprise pricing is custom; pipeline scale-out is listed as coming soon.
For and against
For
- Free edition includes full SQL support and all connectors.
- Incremental updates scale with the amount of change.
- Supports window functions and recursive SQL queries.
- Enterprise data stays on customer premises.
- SOC 2 Type 1 and Type 2 compliance listed.
Against
- Some output connectors are experimental.
- Enterprise pricing is custom and not listed.
- Pipeline scale-out is listed as coming soon.
The verdict
Feldera centers on incremental SQL view maintenance, with a free single-node edition and an enterprise option for customer-hosted clusters. Check connector status and deployment requirements before choosing a plan.
Who it suits
Feldera suits teams that need to keep SQL views current as source data changes, including those working on real-time medallion architectures, fraud detection feature engineering, or fine-grained authorization. Its free edition may fit single-node projects, while the enterprise offering is aimed at deployments needing multi-node clusters and dedicated support.
Plans and prices
Open source edition
Single node · single container · full SQL support · all connectors
Read 28 Sep 2026 · feldera.com
Enterprise edition
Self-hosted on your Kubernetes clusters · multi-node deployments · multi-tenant isolation · dedicated support
Read 28 Sep 2026 · feldera.com
On the record
- Community support
- The open source edition provides community support through Slack.feldera.com · read 28 Sep 2026
- Company history
- Feldera says its founders had worked on incremental computation challenges since 2018 and that its technology had run in production at VMware since 2021.feldera.com · read 28 Sep 2026
- Deployment
- Feldera offers Docker for local development, testing, and prototyping, a free online sandbox, and an enterprise offering for production.docs.feldera.com · read 28 Sep 2026
- Enterprise capabilities
- Enterprise adds multi-node clusters, pipeline and control-plane fault tolerance, resource isolation, and dedicated support; pipeline scale-out is listed as coming soon.docs.feldera.com · read 28 Sep 2026
- Enterprise hosting
- Enterprise runs on a customer-provided cloud or Kubernetes cluster, and the documentation says data never leaves the customer's premises.docs.feldera.com · read 28 Sep 2026
- Incremental updates
- When input tables change, Feldera incrementally updates views in proportion to the change rather than the full dataset.feldera.com · read 28 Sep 2026
- Inputs
- Documented input connectors include Kafka, Google Pub/Sub, NATS, PostgreSQL, AWS S3, Delta Lake, and Apache Iceberg.docs.feldera.com · read 28 Sep 2026
- Outputs
- Documented output connectors include Kafka, Delta Lake, PostgreSQL, Redis, DynamoDB, Snowflake, and Iceberg; several are marked experimental.docs.feldera.com · read 28 Sep 2026
- Performance
- The product page says Feldera can process complex pipelines with millions of changes per second, including on a laptop.feldera.com · read 28 Sep 2026
- Purpose
- Feldera is an incremental view maintenance engine that keeps SQL views in sync with changing data and works alongside a lakehouse or warehouse.feldera.com · read 28 Sep 2026
- Security
- The Trust Center lists SOC 2 Type 1 and Type 2 compliance and offers access to security documentation, including a penetration test report and SOC 2 report.trust.feldera.com · read 28 Sep 2026
- SQL support
- Feldera supports SQL including window functions and recursive queries.feldera.com · read 28 Sep 2026
- Use cases
- Feldera presents real-time medallion architectures, fraud detection feature engineering, and fine-grained authorization as use cases.feldera.com · read 28 Sep 2026
