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We built Kafka at LinkedIn because we needed to process a billion events per day. Nothing else could do it.
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Data at rest is history. Data in motion is opportunity. Confluent powers data in motion.
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Apache Kafka processes trillions of events daily at companies like Netflix and Goldman Sachs. It started as an internal tool at LinkedIn.
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Being better than free is hard. But when free means managing Kafka yourself, our managed service sells itself.
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Every company will eventually need real-time data streaming. We're building the infrastructure before the demand peaks.
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Open source built our community. The commercial product built our business. Both matter.