vs

Feldera vs RisingWave

Feldera: An incremental SQL engine grounded in DBSP theory that updates any SQL query from changes only. RisingWave: An Apache-licensed, Postgres-compatible streaming database that stores state on S3 and writes Iceberg.

key differences

  • RisingWave is built for larger datasets (≤ 1 PB) than Feldera (≤ 10 TB).
  • Only RisingWave has secondary indexes, vector search, ttl / expiry, compression, role-based access.

choose feldera for

  • +Incremental computation of complex analytics over changing data
  • +Real-time feature engineering
  • +Streaming ETL into Delta Lake or Iceberg

best at · Streaming, Real-time analytics, Feature store

choose risingwave for

  • +Streaming ETL from Kafka or CDC into Iceberg
  • +Real-time monitoring and alerting dashboards
  • +Fresh ML feature computation
  • +IoT telemetry aggregation

best at · Streaming, Real-time analytics, Lakehouse

overview
Primary model
Relational
Relational
Also supports
–
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Feldera, Inc.
RisingWave Labs
First release
2023
2022
Latest version
0.369.0 (Oct 23, 2026)
3.1.0 (Sep 21, 2026)
License
Open source (permissive)MIT (open-source edition); Enterprise is commercial
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
15.8
17.4
Rank
#202
#191
GitHub stars
2.1K
9.4K
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Single node, Distributed, Client server
Distributed, Shared storage, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure
capabilities
Transactions
—
—
Joins
✓
✓
Secondary indexes
—
✓
Full-text search
—
—
Vector search
—
✓
Geospatial
—
—
JSON
✓
✓
Change data capture
✓
✓
Triggers
—
—
Stored procedures
—
—
Materialized views
✓
✓
TTL / expiry
—
✓
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
✓
Encryption at rest
—
—
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (Apache Calcite dialect)
SQL
Client languages
Python, Rust
Python, Java, JavaScript, Go, Rust, C#, Ruby
Best for
Streaming, Real-time analytics, Feature store, Lakehouse
Streaming, Real-time analytics, Lakehouse, IoT

Feldera vs RisingWave: FAQ

What is the difference between Feldera and RisingWave?

Feldera: An incremental SQL engine grounded in DBSP theory that updates any SQL query from changes only. RisingWave: An Apache-licensed, Postgres-compatible streaming database that stores state on S3 and writes Iceberg. RisingWave is built for larger datasets (≤ 1 PB) than Feldera (≤ 10 TB). Only RisingWave has secondary indexes, vector search, ttl / expiry, compression, role-based access.

When should I choose Feldera over RisingWave?

Choose Feldera for incremental computation of complex analytics over changing data, real-time feature engineering and streaming ETL into Delta Lake or Iceberg. Choose RisingWave for streaming ETL from Kafka or CDC into Iceberg; real-time monitoring and alerting dashboards; and fresh ML feature computation.

Is Feldera or RisingWave more popular?

RisingWave ranks #191 on the WhichDB Score (17.4/100) and Feldera ranks #202 (15.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Feldera and RisingWave open source?

Yes. Feldera is open source. License: MIT (open-source edition); Enterprise is commercial. Yes. RisingWave is open source. License: Apache License 2.0.