Sonntag, 31. August 2014

Welcome Crate Data!

Please welcome:


Crate Data 

shared nothing, document-oriented cluster data store. Accessed via SQL and has builtin BLOB support. Uses the cluster state implementation and node discovery of Elasticsearch. License: Apache 2.0, Query Method: SQL, Clients: HTTP (REST), Python, Java (JDBC or native), Ruby, JS, Erlang, Replication + Sharding: automatic and configurable, written in: Java» Crate Data GitHub Project» Documentation.

Freitag, 22. August 2014

Welcome RocksDB and TreodeDB

RocksDB

 API: C++. Written in C++. Facebook`s improvements to Google`s LevelDB to speed throughput for datasets larger than RAM. Embedded solution.

TreodeDB

 API: Scala. Written in Scala. Replication: Replicas vote on writes and reads. Sharding:Hashes keys onto array of replica cohorts. Concurrency: Optimistic + Multiversion Concurrency Control. Provides multirow atomic writes. Exposes optimistic concurrency through API to support HTTP Etags. Embedded solution.

Freitag, 18. Juli 2014

Welcome DBreeze

Please welcome DBreeze.

https://dbreeze.codeplex.com/

Professional, open-source, NoSql (embedded Key/Value storage), transactional, ACID-compliant, multi-threaded, object database management system for .NET 3.0> MONO. Written in C#.

Freitag, 6. Juni 2014

Montag, 2. Juni 2014

Video: Building Hadoop Clusters

Packt has a new Video Course: Building Hadoop Clusters.
Check it out and have a look at the sample clip.

Address: http://bit.ly/1kNiHSr

The homepages has descriptions, screenshots, the table of content and more.

Regards
Stefan Edlich

Sonntag, 20. April 2014

Welcome Symas LMDB

Symas LMDB Ultra-fast, ultra-compact key-value embedded data store developed by Symas for the OpenLDAP Project. It uses memory-mapped files, so it has the read performance of a pure in-memory database while still offering the persistence of standard disk-based databases, and is only limited to the size of the virtual address space, (it is not limited to the size of physical RAM)

Check it out!