StreamNative
San Francisco
About StreamNative
StreamNative offers an event streaming platform based on Apache Pulsar that enables companies to access enterprise data as real-time streams. Apache Pulsar acts as a real-time, fault-time, highly scalable and unified event streaming platform. It is widely adopted by many companies globally, from internet giants, gaming companies, IoT companies, financial institutes to many other enterprises. Unliked other legacy pubsub messaging system, Pulsar was born and developed for Cloud. Its architectural advantages and cloud-native design principles make it able to make high volume data available as an infinite real-time stream for consumption. The infinite real-time stream provides a unified view for both historic and real-time data. The infrastructure lets you build around a single central nervous system transmitting, storing and processing messages for the different systems and applications within your organization. By leveraging the Apache Pulsar technology, StreamNative Platform enables the leaders in industries such as gaming, financial services, blockchain, retail, logistics, manufacturing, media and IoT, move data from isolated legacy systems into one real-time event streaming platform where they can act on immediately. StreamNative was started by a team of Apache Pulsar and Apache BookKeeper PMC members, committers and contributors, who believe in event streams are the right foundation for enterprise data. Many of the team members have been working on Apache Pulsar for years, and have helped the leading internet giants successfully run Pulsar at scale. StreamNative is based in San Francisco, California. It also have offices in Beijing, Shanghai and Shenzhen in China.
Company Facts
- Operating status: Active
- Company type: For Profit
- IPO status: Private
- Employees: 51 – 100
- Estimated revenue: $10K – $50K
- Total funding: $29.7M
- Funding stage: Early Stage Venture
- Last round: Series A (Sep 2021)
- Website: streamnative.io
- Phone: [email protected]
Industries & Categories
Big Data, Cloud Data Services, Enterprise Software, Open Source, Software
Social Profiles
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