Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.

Elasticsearch

Compare

  Analyzed about 23 hours ago

Distributed, RESTful search engine built on top of Apache Lucene.

3.22M lines of code

259 current contributors

2 days since last commit

79 users on Open Hub

Very High Activity
4.92308
   
I Use This

hazelcast

Compare

  Analyzed about 21 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]

1.44M lines of code

66 current contributors

2 days since last commit

15 users on Open Hub

Very High Activity
5.0
 
I Use This

Infinispan

Compare

  No analysis available

Infinispan is an open source, JVM based data grid platform. Infinispan is a high performance, distributed and highly concurrent data structure. Also supports JTA transactions, eviction, and passivation/overflow to external storage.

0 lines of code

36 current contributors

0 since last commit

11 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: apache_2, lgpl21

Apache Ignite

Compare

Claimed by Apache Software Foundation Analyzed about 19 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

3 days since last commit

4 users on Open Hub

High Activity
0.0
 
I Use This

RoQ

Compare

  Analyzed about 15 hours ago

RoQ (pronounce /rɒkˈjuː/, as in "Rock You") is the first implementation of EQS, a new architecture designed for efficient messaging in the cloud. Traditionally, MOMs are not designed to support elastic scaling. This means that in a cloud context, they may very quickly become a bottleneck in terms ... [More] of performance. RoQ has been designed from day 1 to answer this problem. It's architecture is elastically scalable. This includes three properties: When required, the capacity of the system will be increased automatically This capacity increase has no impact on the global performance When the load decrease, the system will scale down to avoid using unnecessary ressources RoQ started as a research project within EURA NOVA and has since then evolved into an open source project. [Less]

36.6K lines of code

0 current contributors

almost 9 years since last commit

2 users on Open Hub

Inactive
0.0
 
I Use This

Pion

Compare

  Analyzed about 22 hours ago

The Pion CEP Platform is open source software, published under the GNU Affero GPL license. The platform is a real-time event processing engine that is designed to be extremely extensible through the use plugins. Plugins can be developed to provide specialized data processing logic, web services, and ... [More] to enable support for different data encoding formats and databases. [Less]

24.4K lines of code

0 current contributors

about 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: No declared licenses

heliosearch

Compare

  Analyzed 4 months ago

The next generation of open source search

1.56M lines of code

0 current contributors

over 2 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
I Use This

Apinf

Compare

  Analyzed 1 day ago

Dashboard component for the open-source API management platform API Umbrella.

52.2K lines of code

15 current contributors

almost 5 years since last commit

1 users on Open Hub

Inactive
4.0
   
I Use This

ProDy

Compare

  Analyzed 22 days ago

ProDy is a free and open-source Python package for analysis and modeling of protein structural dynamics. It allows for efficient analysis of large datasets and is suitable for development or prototyping of structure-based analysis and modeling software.

604K lines of code

12 current contributors

about 1 month since last commit

1 users on Open Hub

High Activity
5.0
 
I Use This

LuMongo

Compare

  Analyzed about 7 hours ago

LuMongo is a real-time distributed search and storage system. LuMongo is designed to scale both vertically and horizontally across servers. LuMongo provides the flexibility and power of Lucene queries with the scalability and ease of use of MongoDB. By intelligently leveraging MongoDB, LuMongo is ... [More] able to make Lucene scale without sacrificing Lucene's rich query syntax and without degrading MongoDB's scalability. [Less]

24.7K lines of code

0 current contributors

about 6 years since last commit

0 users on Open Hub

Inactive
0.0
 
I Use This