Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

January 1, 2012

Gora Graduates!

Filed under: Cassandra,Hadoop,HBase,Hive,Lucene,MapReduce,Pig,Solr — Patrick Durusau @ 5:54 pm

Gora Graduates! (Incubator location)

Over Twitter I just saw a post announcing that Gora has graduated from the Apache Incubator!

Congratulations to all involved.

Oh, the project:

What is Gora?

Gora is an ORM framework for column stores such as Apache HBase and Apache Cassandra with a specific focus on Hadoop.

Why Gora?

Although there are various excellent ORM frameworks for relational databases, data modeling in NoSQL data stores differ profoundly from their relational cousins. Moreover, data-model agnostic frameworks such as JDO are not sufficient for use cases, where one needs to use the full power of the data models in column stores. Gora fills this gap by giving the user an easy-to-use ORM framework with data store specific mappings and built in Apache Hadoop support.

The overall goal for Gora is to become the standard data representation and persistence framework for big data. The roadmap of Gora can be grouped as follows.

  • Data Persistence : Persisting objects to Column stores such as HBase, Cassandra, Hypertable; key-value stores such as Voldermort, Redis, etc; SQL databases, such as MySQL, HSQLDB, flat files in local file system of Hadoop HDFS.
  • Data Access : An easy to use Java-friendly common API for accessing the data regardless of its location.
  • Indexing : Persisting objects to Lucene and Solr indexes, accessing/querying the data with Gora API.
  • Analysis : Accesing the data and making analysis through adapters for Apache Pig, Apache Hive and Cascading
  • MapReduce support : Out-of-the-box and extensive MapReduce (Apache Hadoop) support for data in the data store.

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