Tags : Browse Projects

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Redis

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  Analyzed about 5 hours ago

A persistent key-value database with built-in net interface written in ANSI-C for Posix systems.

296K lines of code

64 current contributors

9 days since last commit

134 users on Open Hub

High Activity
5.0
 
I Use This

Apache Spark

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Claimed by Apache Software Foundation Analyzed about 1 hour ago

Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark provides primitives for in-memory cluster computing: your job can load data into memory and query it repeatedly more rapidly than with ... [More] disk-based systems like Hadoop. To make programming faster, Spark offers high-level APIs in Scala, Java and Python, letting you manipulate distributed datasets like local collections. You can also use Spark interactively to query big data from the Scala or Python shells. Spark integrates closely with Hadoop to run inside Hadoop clusters and can access any existing Hadoop data source. [Less]

1.29M lines of code

374 current contributors

1 day since last commit

56 users on Open Hub

Very High Activity
5.0
 
I Use This

hazelcast

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  Analyzed about 8 hours ago

Hazelcast is a clustering and highly scalable data distribution platform for Java. Features: Distributed implementations of java.util.{Queue, Set, List, Map} Distributed implementation of java.util.concurrency.locks.Lock Distributed implementation of java.util.concurrent.ExecutorService ... [More] Distributed MultiMap for one-to-many relationships Distributed Topic for publish/subscribe messaging Transaction support and J2EE container integration via JCA Socket level encryption support for secure clusters Synchronous (write-through) and asynchronous (write-behind) persistence Second level cache provider for Hibernate Monitoring and management of the cluster via JMX Dynamic HTTP session clustering Support for cluster info and membership events Dynamic discovery Dynamic scaling Dynamic partitioning with backups Dynamic fail-over Hazelcast is for you if you want to share data/state among many servers (e.g. web session sharing) cache your data (distributed cache) for better performance cluster your application provide secure communication among servers partition your in-memory data send/receive messages among applications distribute workload onto many servers take advantage of parallel processing provide fail-safe data management Hazelcast is pure Java. JVMs that are running Hazelcast will dynamically cluster. Although by default Hazelcast will use multicast for discovery, it can also be configured to only use TCP/IP for enviroments where multicast is not available or preferred. Communication among cluster members is always TCP/IP with Java NIO beauty. Default configuration comes with 1 backup so if one node fails, no data will be lost. It is as simple as using java.util.{Queue, Set, List, Map}. Just add the hazelcast.jar into your classpath and start coding. A test application comes with the Hazelcast distribution that simulates the queue, set, map and lock APIs. You may want to watch the following 12 minute screencast to quickly get started. [Less]

1.46M lines of code

66 current contributors

1 day since last commit

15 users on Open Hub

Very High Activity
5.0
 
I Use This

Apache Ignite

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Claimed by Apache Software Foundation Analyzed about 6 hours ago

Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

1.51M lines of code

0 current contributors

2 days since last commit

4 users on Open Hub

High Activity
0.0
 
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nfsdb

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  Analyzed about 14 hours ago

Low Latency Storage. NFSdb is a java library that lets you easily persist huge volumes of POJOs on disk with almost zero GC overhead and minimal latency (millions of writes in a second). With NFSdb you can also query these objects and replicate them over the network. Fast. Very, very fast.

682K lines of code

2 current contributors

3 days since last commit

1 users on Open Hub

High Activity
5.0
 
I Use This

Speed Tables

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  Analyzed about 5 hours ago

Speed tables is a high-performance memory-resident database. The speed table compiler reads a table definition and generates a set of C access routines to create, manipulate and search tables containing millions of rows. Currently oriented towards Tcl.

50K lines of code

0 current contributors

about 2 years since last commit

1 users on Open Hub

Inactive
0.0
 
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MicroSOA

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  No analysis available

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: No declared licenses

Galaxy by Parallel Universe

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  Analyzed about 19 hours ago

Galaxy - a cache-coherent in-memory data grid

27.7K lines of code

0 current contributors

about 8 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: eclipse, lgpv3_or_...

boon

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  Analyzed 1 day ago

Simple opinionated Java for the novice to expert level Java Programmer. Low Ceremony. High Productivity. JSON Parser (fastest on JVM). In memory object queries. Utilities. Slice Notation. Reflection utilities. Collection utilities.

48.9K lines of code

0 current contributors

almost 9 years since last commit

1 users on Open Hub

Inactive
5.0
 
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diqube

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  Analyzed 1 day ago

diqube is a fast, distributed, in-memory column-store which enables you to analyze large amounts of read-only data easily

64.7K lines of code

0 current contributors

over 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
I Use This