Awesome List Updates on Aug 05, 2014
4 awesome lists updated today.
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1. Awesome Bigdata
Key Map Data Model
- Facebook HydraBase - evolution of HBase made by Facebook.
Columnar Databases
- Columnar Storage - an explanation of what columnar storage is and when you might want it.
- Actian Vector - column-oriented analytic database.
- MonetDB - column store database.
2. Awesome Javascript
Loaders
- systemjs (⭐13k) - AMD, CJS & ES6 spec-compliant module loader.
Control Flow / Runner
- when (⭐3.4k) - A solid, fast Promises/A+ and when() implementation, plus other async goodies.
3. Sublime Bookmarks
Extensions / Client Side Profile
- Hayaku — fuzzy abbreviations, support for preprocessors (Sass, Less, Stylus) and a lot of other features in easily configurable set of tools for writing CSS faster.
4. Awesome Db
Clojure
C / CPP
- Aerospike (⭐796) - Aerospike Database Server – flash-optimized, in-memory, nosql database
- Alchemy-Database (⭐183) - AlchemyDB is now Aerospike
- cstore_fdw (⭐1.7k) - Fast columnar store for analytics with PostgreSQL website
- LMDB - Very fast embedded key/value store with full ACID semantics.
- memcache (⭐12k) - Free & open source, high-performance, distributed memory object caching system
- mongo (⭐23k) - The Mongo Database http://www.mongodb.org/
- facebook/mysql-5.6 (⭐2.3k) - Facebook's branch of the Oracle MySQL v5.6 database
- twitter/mysql (⭐1.7k) - MySQL fork maintained and used at Twitter https://github.com/twitter/mysql/wiki (⭐1.7k)
- Redis (⭐57k) - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes website
- redis-nds (⭐129) - This is a version of Redis patched to implement NDS (the Naive Disk Store). Documentation on this feature is contained within README.nds.
- rethinkdb (⭐26k) - An open-source distributed JSON document database with a pleasant and powerful query language. http://www.rethinkdb.com
- rocksdb (⭐24k) - Embedded key-value store for fast storage http://rocksdb.org
- ssdb (⭐8k) - SSDB - A fast NoSQL database, an alternative to Redis http://ssdb.io
- SQLite - A completely embedded, full-featured relational database in a few 100k that you can include right into your project.
- VoltDB (⭐1.9k) - VoltDB is a horizontally-scalable, in-memory SQL RDBMS designed for applications that have extremely high read and write throughput requirements.
dot-net
- RavenDB (⭐3.1k) - A linq enabled document database for .NET http://ayende.com/Blog/
Erlang
- riak (⭐3.7k) - Riak is a decentralized datastore from Basho Technologies.
Go-lang
- bolt (⭐13k) - A low-level key/value database for Go.
- diskv (⭐1.2k) - A home-grown disk-backed key-value store.
- go-cache (⭐6.6k) - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
- goleveldb (⭐5.4k) - An implementation of the LevelDB key/value database in the Go.
- groupcache (⭐12k) - Groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.
- influxdb (⭐24k) - Scalable datastore for metrics, events, and real-time analytics
- ledisdb (⭐3.9k) - Ledisdb is a high performance NoSQL like Redis based on LevelDB.
- skydb.io - Sky is an open source database used for flexible, high performance analysis of behavioral data.
- tiedot (⭐2.7k) - Your NoSQL database powered by Golang.
JAVA
- cassandra (⭐7.6k) - Cassandra is a partitioned row store. Rows are organized into tables with a required primary key.
- elasticsearch (⭐62k) - Open Source, Distributed, RESTful Search Engine website
- mapdb (⭐4.6k) - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.http://www.mapdb.org
- neo4j (⭐11k) - Neo4j is the world’s leading Graph Database.
- orientdb (⭐4.5k) - OrientDB is an Open Source NoSQL DBMS with the features of both Document and Graph DBMSs.
- voldemort (⭐2.6k) - An open source clone of Amazon's Dynamo. website
Scala
- BlinkDB (⭐646) - BlinkDB: Sub-Second Approximate Queries on Very Large Data [website] (http://blinkdb.cs.berkeley.edu/)
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- Next: Aug 04, 2014