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Showing 2 open source projects for "distributed shared memory"

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1

Akka

Build concurrent, distributed, and resilient message-driven apps

...Up to 50 million msg/sec on a single machine. Small memory footprint; ~2.5 million actors per GB of heap. Distributed systems without single points of failure. Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure.

Downloads: 2 This Week

Last Update: 5 days ago
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2

SnappyData

Memory optimized analytics database, based on Apache Spark

SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster.

Downloads: 0 This Week

Last Update: 2024-10-15
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