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Lean list of various BigData/NoSQL related projects
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| This work-in-progress summarizes the way-too-many BigData(tm) technologies. | |
| This is by no means an in-depth description, but a very short summary so that | |
| I know where to look. | |
| 1. Databases: | |
| * DynamoDB - aws.amazon.com/dynamodb/ - Amazon AWS integration, MapReduce | |
| * MongoDB - mongodb.org/ - JSON-style document database, SQL-like queries + MapReduce | |
| * Riak - basho.com/riak/ - Key-Value storage, MapReduce | |
| * CouchDB - couchdb.apache.org/ - JSON document storage, JavaScript Queries + MapReduce | |
| * Redis - redis.io/ - Key-Value storage, Pub/Sub messaging | |
| * HBase - hbase.apache.org/ - Bigtable-like capabilities on top of Hadoop and HDFS | |
| * Cassandra - cassandra.apache.org/ - BigTable-like, SQL-like queries + MapReduce | |
| * Hypertable - hypertable.org/ - Bigtable-like, SQL-like queries + MapReduce, strong commercial support | |
| * Accumulo - accumulo.apache.org/ - Key-Value storage, Bigtable+Hadoop+HDFS | |
| * Neo4j - neo4j.org/ - Graph database | |
| * Couchbase - couchbase.com/ - Document-oriented, querying + MapReduce | |
| * VoltDB - voltdb.com/ - OLTP/real-time processing database by Stonebraker, proprietary | |
| * scalaris - code.google.com/p/scalaris/ - Key-Value storage | |
| * Voldemort - project-voldemort.com/ - Key-Value storage, used at LinkedIn | |
| * MemcacheDB - memcachedb.org/ - Key-Value storage based on Memcached | |
| * VelocityDB - velocitydb.com/ - Object and Graph DB, Key-Value support | |
| * ElephantDB - github.com/nathanmarz/elephantdb/ - Database specialized on exporting key-valuedata from Hadoop | |
| Questions: Why does Apache have so many identical projects? | |
| 2. Data analysis: | |
| * elasticsearch - elasticsearch.org/ - Distributed RESTful search and analytics on top of Lucene, Memchaced, JSON | |
| * Hadoop + HDFS - hadoop.apache.org/ - MapReduce implementation | |
| * Hive - hive.apache.org/ - Data warehouse over Hadoop | |
| * Mahoot - mahout.apache.org/ - Scalable ML | |
| * Pig - pig.apache.org/ - Uses Pig Latin to produce sequences of MapReduce jobs (for Hadoop) | |
| * D3.js - d3js.org/ - JavaScript library for visualizing data | |
| * R - r-project.org/ - Statistics | |
| * Julia - julialang.org/ - Potential replacement for R | |
| * Drill - incubator.apache.org/drill/ - Big data analysis based on Google Dremel | |
| * Gremlin - github.com/tinkerpop/gremlin/ - Graph analysis | |
| * Giraph - giraph.apache.org/ - Graph analysis | |
| * InfiniteGraph - objectivity.com/infinitegraph/ - Graph analysis, commercial | |
| * Golden Orb - goldenorbos.org/ - Graph analysis using Google Pregel on top of Hadoop | |
| * JethroData - jethrodata.com/ - Data analysis on top of Hadoop, commercial | |
| * Spark - spark-project.org/- Projects that aims to extend/improve Hadoop, move beyond MapReduce | |
| * HStreaming - hstreaming.com/ - Real time and batch processing workflow over Hadoop and HDFS, commercial | |
| 3. Real time processing: | |
| * DBToaster - dbtoaster.org/ - Creates processing engines from SQL queries | |
| * Storm - storm-project.net/ - MapReduce over real time data | |
| * Trident - engineering.twitter.com/2012/08/trident-high-level-abstraction-for.html/ - Elegant abstraction for defining Storm topologies | |
| * Squall - github.com/epfldata/squall/ - SQL over Storm | |
| * SAP Hana - http://www.sap.com/solutions/technology/in-memory-computing-platform/hana/overview/index.epx/ - In-memory DB and stream processing, commercial | |
| * Esper - esper.codehaus.org/ - CEP, Java and .NET, commercial | |
| 4. Infrastructure | |
| * ZooKeeper - zookeeper.apache.org/ - Distributed coordination | |
| * ZeroMQ - zeromq.org/ - Message transport layer | |
| * RabbitMQ - rabbitmq.com/ - Message transport layer | |
| * Kafka - kafka.apache.org/ - Publish/Subscribe messaging system | |
| * S4 - incubator.apache.org/s4/ - Real time processing infrastructure | |
| * Kestrel - github.com/robey/kestrel/ - Message transport layer | |
| * Ganglia - ganglia.sourceforge.net/ - Monitoring | |
| * OpenStack - openstack.org/ - Open source software for building clouds | |
| * Cloud Foundry - cloudfoundry.com/ - Deployment solution | |
| 5. Resources: | |
| * Database comparison - http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis/ | |
| * More comprehensive NoSQL list - http://nosql-database.org/ | |
| * Big Data Right Now: Five Trendy Open Source Technologies (10.2012) - http://techcrunch.com/2012/10/27/big-data-right-now-five-trendy-open-source-technologies/?goback=%2Egde_4332669_member_225815227/ | |
| * SQL is what’s next for Hadoop: Here’s who’s doing it (01.2013) - http://gigaom.com/2013/02/21/sql-is-whats-next-for-hadoop-heres-whos-doing-it/ | |
| * Wikipedia, ofc: http://en.wikipedia.org/wiki/NoSQL | |
| * Nathan Marz (Storm developer) on beating the CAP theorem (as this is controversial, make sure to read the comments also): http://nathanmarz.com/blog/how-to-beat-the-cap-theorem.html |
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