RisingWave Labs

Streaming/In-Memory

RisingWave Labs, founded in 2021 and headquartered in San Francisco, develops a cloud-native SQL streaming database designed to ingest, process, and serve real-time data for agents, applications, and analytics.

Reviewed by 7wData
Share Email

On this page

Profile

RisingWave provides a cloud-native SQL streaming database for real-time data ingestion, processing, and serving to applications, AI agents, and analytics.

RisingWave Labs, founded in 2021 and headquartered in San Francisco, develops a cloud-native SQL streaming database designed to ingest, process, and serve real-time data for agents, applications, and analytics. The company raised $36 million in a Series A round on October 18, 2022, led by Yunqi Partners, with undisclosed corporate and angel investors, bringing total disclosed funding to $36 million. As of 2023, the company reported 55 employees.

The open-source project, RisingWave, is PostgreSQL-compatible and claims sub-100ms latency for stream processing. In 2025, the company launched RisingWave Cloud V2, adding native AI agent support, a console, and CLI. The platform also integrates with Apache Iceberg for lakehouse analytics, powered by Apache DataFusion.

RisingWave competes in the real-time data infrastructure space against Materialize, Tinybird, and Confluent. The company lists over 1,000 data-driven organizations as users, including PepsiCo, Siemens, Robinhood, Tencent, and OpenSea, though exact revenue figures remain undisclosed. The company has not announced additional funding rounds since 2022, and its financial trajectory beyond the Series A is not publicly available. RisingWave's focus on AI agent workloads and streaming lakehouse architectures positions it in a growing market, but it faces challenges in differentiating from established players and managing open-source community dynamics.

Track RisingWave Labs and 240+ vendors.

335k+ subscribers read the daily AI & data note. One email, both newsletters. Unsubscribe anytime.

Who buys this

  • Technology companies building real-time monitoring, alerting, and fraud detection systems
  • Financial services firms requiring sub-100ms stream processing for trading and risk management
  • E-commerce and retail platforms needing real-time data enrichment and personalization
  • IoT and operational analytics teams managing live sensor data and event streams
  • Data engineering teams adopting streaming lakehouse architectures with Apache Iceberg

Publicly disclosed clients

  • PepsiCo
  • Siemens
  • Robinhood
  • Tencent
  • OpenSea
  • Thumbtack
  • Density

Strengths and what to watch

Strengths

  • PostgreSQL-compatible SQL interface lowers adoption barriers for teams familiar with relational databases
  • Open-source core with a cloud-managed service (RisingWave Cloud V2) offers flexibility for self-hosted and SaaS deployments
  • Integration with Apache Iceberg and DataFusion enables streaming lakehouse analytics without external compactors or orchestrators

Watch for

  • No disclosed revenue or customer count validation beyond the company's own marketing claims of '1,000+ organizations'
  • Single funding round in 2022 with no subsequent rounds announced, raising questions about growth capital and valuation
  • Intense competition from well-funded rivals like Materialize ($100M+ raised) and Confluent (public, $1B+ revenue), which may limit market share

Recent moves

Key Information

Industry
Streaming/In-Memory
Founded
2021
Headquarters
San Francisco

Frequently Asked Questions

What is RisingWave Labs and what does it do?

RisingWave Labs, founded in 2021 and based in San Francisco, develops a cloud-native SQL streaming database for real-time data ingestion, processing, and serving to applications, AI agents, and analytics. It is PostgreSQL-compatible and claims sub-100ms latency for stream processing.

How does RisingWave Cloud V2 support AI agents?

Launched in 2025, RisingWave Cloud V2 adds native AI agent support, a console, and CLI. This allows developers to build real-time data pipelines that feed AI agents with low-latency streaming data, enabling responsive and context-aware AI applications.

Is RisingWave compatible with PostgreSQL?

Yes, RisingWave is PostgreSQL-compatible, meaning teams familiar with relational databases can use standard SQL for stream processing. This lowers the adoption barrier and allows easy integration with existing PostgreSQL tools and workflows.

What is the streaming lakehouse integration with Apache Iceberg?

RisingWave integrates with Apache Iceberg and Apache DataFusion to enable streaming lakehouse analytics. This allows real-time data to flow directly into Iceberg tables without needing external compactors or orchestrators, simplifying the architecture.

How much funding has RisingWave Labs raised and from whom?

RisingWave Labs raised $36 million in a Series A round on October 18, 2022, led by Yunqi Partners with undisclosed corporate and angel investors. No additional funding rounds have been announced since then, and total disclosed funding remains $36 million.

Who are some notable customers of RisingWave?

RisingWave lists over 1,000 data-driven organizations as users, including PepsiCo, Siemens, Robinhood, Tencent, OpenSea, Thumbtack, and Density. These span technology, financial services, e-commerce, and IoT sectors for real-time monitoring, fraud detection, and personalization.

Sources

  1. www.risingwave-labs.com — Company product description, customer logos, and Cloud V2 announcement
  2. pitchbook.com — Funding details ($36M Series A, Oct 2022), employee count (55), and HQ address
  3. www.cbinsights.com — Total raised ($36M), investor (Yunqi Partners), and funding round date
  4. techcrunch.com — Series A announcement, use of funds, and investor details