Skip to content
RisingWave logo

Enterprise-grade event streaming platform for real-time agents, apps, and analytics.

Free plan available Visit Website
Tracked since 2026

The Bottom Line

Price
Free plan available. Compare plans

Key facts

  • Real-time event streaming platform with sub-100ms latency.
  • Unifies streaming and lakehouse with built-in Apache Iceberg integration.
  • Powers mission-critical applications for monitoring, AI, and data enrichment across industries.

Pros

  • Streaming database
  • PostgreSQL compatible
  • Good for analytics
  • Active development
  • Open source

Cons

  • Newer platform
  • Learning curve
  • Smaller community
  • Operational complexity
  • Still maturing

What is RisingWave?

RisingWave is a cloud-native, enterprise-grade event streaming platform built in Rust, designed for real-time data processing with sub-100ms latency. It unifies streaming and lakehouse worlds by continuously ingesting data from various sources like databases, message queues, and IoT devices, transforming it in motion, and materializing results for instant serving. It also integrates with Apache Iceberg for managing data in managed tables, simplifying ELT/ETL processes without the need for orchestrators or compactors. The platform is ideal for organizations needing continuous insights from live and historical data, supporting use cases such as monitoring and alerting, real-time data enrichment, IoT/telemetry pipelines, and streaming lakehouses. RisingWave is trusted by over 1,000 data-driven organizations across various industries including financial services, energy, manufacturing, sports betting, logistics, ad/marketing tech, e-commerce, and healthcare, enabling them to build proactive agents, AI automation, and customer engagement solutions.

Available on: Web

Key Features

  • Streaming database
  • SQL interface
  • Real-time analytics
  • Materialized views
  • Kafka integration
  • Postgres compatible

Pricing Plans

7-day Free Trial

Pricing checked Oct 16, 2026. Source: risingwave.com/pricing, read Oct 16, 2026

RisingWave plans and prices, checked October 2026
Plan Price Details
Open Source

$0

  • Apache 2.0 license
  • Self-hosted
  • Full feature access
+2 more
  • Community support
  • PostgreSQL compatible
Developer (Cloud)

$0

  • Forever-free tier
  • Managed cloud service
  • Basic compute resources
+1 more
  • Development workloads
Enterprise

Custom

  • Elastic scaling
  • SOC2 compliance
  • BYOC deployment
+2 more
  • Priority support
  • Enterprise optimization

Is RisingWave worth the price?

Great value

RisingWave offers a very generous pricing model with both a free open-source option and a 'forever-free' Developer Cloud tier, making it highly accessible.

The custom-priced Enterprise tier is standard for advanced features and compliance. This structure is ideal for developers and small teams looking to experiment and scale without immediate cost barriers.

Full RisingWave pricing: every plan, hidden costs and alternatives

Email me when RisingWave changes its price

One email per change, found on the vendor's own pricing page. Unsubscribe any time.

RisingWave by the numbers

RisingWave compared with 26 Real-Time Analytics tools on Toolradar, as of Oct 2026
Metric RisingWave Peer median Position (1 is best)
Free plan Yes 18 of 26 have one n/a
Listed as an alternative to 2 tools 2 #10 of 26 (joint)

Each position is counted among the tools that have data for that row, as noted under it. All Real-Time Analytics data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “RisingWave by the numbers”, Oct 2026.

Reviews

Improve Your Thinking Patterns Using ChatGPT cover
$99 Free with your review

Review RisingWave, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review

Best RisingWave Alternatives

Top alternatives based on features, pricing, and user needs.

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Explore More

RisingWave FAQ

How does RisingWave support real-time data processing for analytics?

RisingWave functions as an enterprise-grade event streaming platform built for real-time data processing with sub-100ms latency. It continuously ingests data from various sources, transforms it in motion, and materializes results for instant serving, making it suitable for real-time analytics.

Which teams would benefit most from using RisingWave?

RisingWave is ideal for organizations that require continuous insights from live and historical data to build proactive agents, AI automation, and customer engagement solutions. It serves data-driven organizations across sectors like financial services, manufacturing, and healthcare.

How is RisingWave priced?

RisingWave is available on a free tier, allowing users to get started without initial cost. Paid plans are offered for those requiring more usage and additional features beyond the free tier.

What kind of data sources can RisingWave ingest from?

RisingWave can continuously ingest data from diverse sources, including various databases, message queues, and IoT devices. This capability allows it to unify streaming and lakehouse environments for comprehensive data processing.

How does RisingWave compare to Apache Kafka for real-time data needs?

While Apache Kafka is a robust message queue, RisingWave is a streaming database that unifies streaming and lakehouse worlds by continuously ingesting, transforming, and materializing data. RisingWave also offers PostgreSQL compatibility, which simplifies integration for many users.

What are the main trade-offs to consider when adopting RisingWave?

RisingWave is a newer platform, which means it has a smaller community and is still maturing. Users might experience a learning curve and some operational complexity due to its evolving nature.

Can RisingWave integrate with data lake solutions?

Yes, RisingWave integrates with Apache Iceberg for managing data in managed tables, simplifying ELT/ETL processes. This feature allows it to unify streaming and lakehouse environments without requiring external orchestrators or compactors.

Guides & Articles