Feldera vs Ververica Platform
Feldera
feldera.comVerverica Platform
ververica.comSide by side
| Figure | Feldera | Ververica Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Streaming Analytics Software | 7.8 (#12) | 7.2 (#19) |
| Deployment | Feldera offers Docker for local development, testing, and prototyping, a free online sandbox, and an enterprise offering for production. | Deployment options include managed cloud, BYOC in AWS, Azure, or GCP, and self-managed deployment on Kubernetes, on-premises, or air-gapped infrastructure. |
| Purpose | Feldera is an incremental view maintenance engine that keeps SQL views in sync with changing data and works alongside a lakehouse or warehouse. | Ververica Platform is an enterprise streaming and batch platform built by the original creators of Apache Flink. |
| 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. | The platform page states SOC 2 and ISO 27001 certification and lists multi-tenant role-based access control. |
Plans
Ververica Platform
- Community EditionFree
- Stream EditionPriced on request
- Ververica CloudPrice not published
In their own words
Feldera
Feldera is an incremental view maintenance engine that keeps SQL views current as input data changes, for use alongside a lakehouse or warehouse. Instead of rebuilding a full dataset after each change, it updates views in proportion to the change. It supports SQL 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, with several output connectors marked experimental. The free open-source edition runs as a single node and container, supports all connectors and datasets larger than memory, and includes community support through Slack. Docker is available for local development, testing, and prototyping, alongside a free 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 data stays on the customer's premises. Enterprise pricing is custom, and pipeline scale-out is listed as coming soon.
Ververica Platform
Ververica Platform combines stream and batch processing in one runtime for enterprise production workloads. Built by the original creators of Apache Flink, it is described as fully compatible with Flink APIs, SQL, and connectors, allowing existing Flink jobs to run without code changes. Materialized tables maintain themselves; listed operational features include auto-scaling, auto-recovery, and upgrades without downtime. Deployment choices include managed cloud, BYOC in AWS, Azure, or GCP, and self-managed Kubernetes, on-premises, or air-gapped infrastructure. Its integrations catalog describes more than 100 pre-built connectors for databases, message queues, data lakes, cloud services, and REST APIs. Connector features include exactly-once delivery and event-time watermark strategies. The platform lists SOC 2 and ISO 27001 certification and multi-tenant role-based access control. Managed cloud lists AES-256 encryption at rest, TLS 1.3 in transit, GDPR compliance, and HIPAA eligibility. Community Edition is free; a free license may be required and its terms may restrict use. Pricing is on request for other options; managed-service use is subject to documented limits.