Feldera

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Score7.2

Rank#4 of 24

PriceFree

Free planYes

Runs onAPI, Linux, macOS, Self-hosted, Web, Windows

Summary

Feldera is an incremental view maintenance engine that keeps SQL views in sync as input data changes, alongside a lakehouse or warehouse. Rather than recomputing an entire dataset after each change, it updates views in proportion to the change. SQL support includes window functions and recursive queries. Documented inputs include 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 marked experimental. The open-source edition is free and provides a single-node, single-container deployment, full SQL support, all connectors, datasets larger than memory, and community support through Slack. Docker is available for local development, testing, and prototyping, as is an online sandbox. Enterprise runs on a customer-provided cloud or Kubernetes cluster and adds multi-node deployments, fault tolerance, resource isolation, and dedicated support. Its documentation says enterprise data stays on the customer's premises. Enterprise pricing is custom, and pipeline scale-out is listed as coming soon.

Who it is for

Feldera suits teams that need SQL views to stay current as source data changes, including those building real-time medallion architectures, fraud detection feature engineering, or fine-grained authorization. The free edition is suited to single-node use; enterprise deployments target teams needing multi-node capabilities and dedicated support.

What is good

Incremental updates avoid recalculating the full dataset.
SQL support includes window functions and recursive queries.
The open-source edition includes all connectors.
A free online sandbox is available.
Enterprise data stays on the customer's premises.

What to know first

The open-source edition is limited to a single node.
Several output connectors are marked experimental.
Pipeline scale-out is listed as coming soon.
Enterprise pricing is custom and not listed.

Verdict

Feldera focuses on incremental SQL view maintenance, with a free single-node edition and a self-hosted enterprise offering. Check connector status and deployment needs against the capabilities of the tier you plan to use.

Feldera plans and pricing

All plans

Open source edition Free Single node · single container · full SQL support · all connectors · datasets larger than memory · community support feldera.com · 28 Sept 2026

Enterprise edition Not published Custom pricing Self-hosted on your Kubernetes clusters · multi-node deployments · multi-tenant isolation · dedicated support feldera.com · 28 Sept 2026

Compared on streaming analytics software

Free plan: Yesfeldera.com
Stateful processing: Yesfeldera.com
Supported languages: SQLfeldera.com

Facts

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 · 28 Sept 2026
Incremental updates: When input tables change, Feldera incrementally updates views in proportion to the change rather than the full dataset.feldera.com · 28 Sept 2026
SQL support: Feldera supports SQL including window functions and recursive queries.feldera.com · 28 Sept 2026
Performance: The product page says Feldera can process complex pipelines with millions of changes per second, including on a laptop.feldera.com · 28 Sept 2026
Inputs: Documented input connectors include Kafka, Google Pub/Sub, NATS, PostgreSQL, AWS S3, Delta Lake, and Apache Iceberg.docs.feldera.com · 28 Sept 2026
Outputs: Documented output connectors include Kafka, Delta Lake, PostgreSQL, Redis, DynamoDB, Snowflake, and Iceberg; several are marked experimental.docs.feldera.com · 28 Sept 2026
Deployment: Feldera offers Docker for local development, testing, and prototyping, a free online sandbox, and an enterprise offering for production.docs.feldera.com · 28 Sept 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 · 28 Sept 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 · 28 Sept 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 · 28 Sept 2026
Use cases: Feldera presents real-time medallion architectures, fraud detection feature engineering, and fine-grained authorization as use cases.feldera.com · 28 Sept 2026
Community support: The open source edition provides community support through Slack.feldera.com · 28 Sept 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 · 28 Sept 2026