MapR Event Store for Apache Kafka

Key Features

The MapR Data Platform allows you to quickly and easily build breakthrough, reliable, real-time applications by providing:

• Single cluster for streams, file storage, database, and analytics.
• Persistence of streaming data, providing direct data access to batch and interactive frameworks, eliminating data movement.
• Unified security framework for data-in-motion and data-at-rest, with authentication, authorization, and encryption.
• Utility-grade reliability with self-healing and no single point-of-failure architecture.

MapR Event Store makes data available instantly to stream processing and other applications, providing:

• Kafka API for real-time producers and consumers for easy application migration.
• Out-of-box integration with popular stream processing frameworks like Spark Streaming, Storm, Flink, and Apex.

MapR Event Store globally replicates event data at IoT-scale, with:

• Arbitrary topology supporting thousands of clusters across the globe. Topologies of connected clusters include one-to-one, one-to-many, many-to-one, many-to-many, star, ring, and mesh. Topology loops are automatically handled to avoid data duplication.
• Global metadata replication. Stream metadata is replicated alongside data, allowing producers and consumers to failover between sites for high availability. Data is spread across geographically-distributed locations via cross-cluster replication to ensure business continuity, should an entire sitewide disaster occur.