ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close
Tuesday, 17 August 2010
‹ Back

Terracotta and Hadoop

About:
,
,

Ari Zilka (Terracotta):

Terracotta is generally part of read/write business systems that you might call transactional (not meaning XA / 2-phased commit). Hadoop is generally part of read-only analytics systems you might call business intelligence. Hadoop is used to create cool things like Yahoo’s predictive-typing feature in their search engine. Terracotta is used in financial services to execute more trades per hour or run algorithmic trading solutions faster or in gaming to handle more gamers per day. Terracotta is used to make sure no state is lost if Java or .Net apps stop running mid-day. Hadoop is used to crunch massive datasets looking for patterns.

It’s great that we don’t get back to elastic caching vs NoSQL.

Terracotta and Hadoop originally posted on the NoSQL blog: myNoSQL

via: http://blog.terracottatech.com/2010/08/terracotta_versus_hadoop.html