
Confluent Stock
Streaming platform
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About Confluent Stock
Confluent offers a streaming platform based on Apache Kafka that enables companies to easily access data as real-time streams. Apache Kafka, an open source technology created by the founders of Confluent, is widely adopted for use cases ranging from collecting user activity data, logs, application metrics, stock ticker data, and device instrumentation. Its key strength is its ability to make high volume data available as a real-time stream for consumption in systems with very different requirements—from batch systems like Hadoop to real-time systems that require low-latency access, to stream processing engines that transform the data streams as it arrives. By leveraging the Apache Kafka technology, Confluent Platform lets leaders in industries such as retail, logistics, manufacturing, financial services, technology, and media, move data from isolated systems into a real-time data pipeline where they can act on it immediately.
Investors
Benchmark
Airtable, Cerebras Systems, Chainalysis, Cockroach Labs, Confluent, Amplitude, Prosper Marketplace, Skybox Security, Good Eggs, Airbyte
Index Ventures
Robinhood, Bird, Slack, Discord, Deliveroo, Pure Storage, ServiceTitan, Coalition, Cockroach Labs, Scale AI
Sequoia Capital
Market Kurly, Robinhood, Airbnb, Instacart, Tokopedia, Stripe, DoorDash, Rappi, CoinSwitch Kuber, UiPath
Funding History
2014-09-26 | $7.0M |
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2015-04-17 | $24.1M |
2017-02-21 | $50.0M |
2018-11-19 | $125M |
2020-03-19 | $250M |
Management
Co-Founder & CEO
Jay Kreps
Co-founder
Jun Rao
Co-founder & Head of Engineering
Neha Narkhede
CMO
Luanne Dauber
Press
TechCrunch - Sep, 30 2019
Confluent adds free tier to Kafka real-time streaming data cloud servicepr - Mar, 19 2019
Confluent and Risk Focus Partner to Bring the Power of Event Streaming to Financial ServicesForbes - Mar, 12 2019
Neha Narkhede: Open Source Isn’t A Business Model, It's A Distribution StrategyDatanami - May, 3 2018
Want Kafka on Kubernetes? Confluent Has It MadeZDNet - Mar, 19 2018
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