Enterprise-grade event streaming platform for real-time agents, apps, and analytics.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Streaming database
Biggest con
Newer platform
TL;DR - RisingWave
- 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.
Pricing: Free plan available
Best for: Growing teams
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
Pros & Cons
Pros
- Streaming database
- PostgreSQL compatible
- Good for analytics
- Active development
- Open source
Cons
- Newer platform
- Learning curve
- Smaller community
- Operational complexity
- Still maturing
Key Features
Streaming databaseSQL interfaceReal-time analyticsMaterialized viewsKafka integrationPostgres compatible
Pricing Plans
7-day Free TrialPricing checked Jul 6, 2026
Open Source
Free
- Apache 2.0 license
- Self-hosted
- Full feature access
- Community support
- PostgreSQL compatible
Developer (Cloud)
Free
- Forever-free tier
- Managed cloud service
- Basic compute resources
- Development workloads
Enterprise
Custom
- Elastic scaling
- SOC2 compliance
- BYOC deployment
- Priority support
- Enterprise optimization
Reviews
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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.
Source: risingwave.com