Audience
Enterprises in search of a storage and streaming infrastructure to scale individual data streams to accommodate changes in data ingestion rate
About Pravega
Distributed messaging systems such as Kafka and Pulsar have provided modern Pub/Sub infrastructure well suited for today’s data-intensive applications. Pravega further enhances this popular programming model and provides a cloud-native streaming infrastructure, enabling a wider swath of applications. Pravega streams are durable, consistent, and elastic, while natively supporting long-term data retention. Pravega solves architecture-level problems that former topic-based systems Kafka and Pulsar have failed to solve, such as auto-scaling of partitions or maintaining high performance for a large number of partitions. It enhances the range of supported applications by efficiently handling both small events as in IoT and larger data as in videos for computer vision/video analytics. By providing abstractions beyond streams, Pravega also enables replicating application state and storing key-value pairs.
Company Information
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