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RisingWave
StreamNative and RisingWave deliver a powerful combination for real-time data applications. RisingWave consumes data from Kafka and Pulsar topics to maintain incrementally updated materialized views — enabling teams to build dashboards, APIs, and applications on continuously fresh query results.
PostgreSQL-Compatible Streaming SQL
RisingWave uses PostgreSQL-compatible SQL, making it accessible to any developer familiar with relational databases:
- Materialized views that update incrementally as new events arrive
- Streaming joins across multiple topics with temporal semantics
- Windowed aggregations for time-series analytics on live data
- Standard PostgreSQL drivers for connecting existing tools and applications
Sentiment Analysis Use Case
A joint blog post demonstrates building a real-time social media sentiment analysis pipeline using StreamNative for ingestion and RisingWave for continuous sentiment scoring — showcasing how the two platforms work together for AI-powered analytics.
End-to-End Streaming Stack
Combined with StreamNative's managed Kafka and Pulsar, organizations get a complete streaming stack:
- Ingest — data flows into StreamNative from any producer
- Process — RisingWave maintains materialized views with streaming SQL
- Serve — applications query materialized views via PostgreSQL protocol
- React — RisingWave can sink results back to StreamNative for downstream consumption
StreamNative and RisingWave deliver a powerful combination for real-time data applications. RisingWave consumes data from Kafka and Pulsar topics to maintain incrementally updated materialized views — enabling teams to build dashboards, APIs, and applications on continuously fresh query results.
PostgreSQL-Compatible Streaming SQL
RisingWave uses PostgreSQL-compatible SQL, making it accessible to any developer familiar with relational databases:
- Materialized views that update incrementally as new events arrive
- Streaming joins across multiple topics with temporal semantics
- Windowed aggregations for time-series analytics on live data
- Standard PostgreSQL drivers for connecting existing tools and applications
Sentiment Analysis Use Case
A joint blog post demonstrates building a real-time social media sentiment analysis pipeline using StreamNative for ingestion and RisingWave for continuous sentiment scoring — showcasing how the two platforms work together for AI-powered analytics.
End-to-End Streaming Stack
Combined with StreamNative's managed Kafka and Pulsar, organizations get a complete streaming stack:
- Ingest — data flows into StreamNative from any producer
- Process — RisingWave maintains materialized views with streaming SQL
- Serve — applications query materialized views via PostgreSQL protocol
- React — RisingWave can sink results back to StreamNative for downstream consumption
• BEYOND STREAMNATIVE
See the Partnership in Action
Real-Time Social Media Sentiment Analysis Using RisingWave and StreamNative
