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

Polyglot Platform

Even if Heroku’s post is about polyglot programming and commodifying deployments, many of the points apply to polylgot persistence. Especially this one:

The result of all this diversity is that the safe bet, especially for large organizations, is to standardize on a single language and avoid (or even outright forbid) development in any others. Polyglot programming allows using the right tool for the job, offering substantial gains in speed and agility of development; but the switching cost of changing out the entire stack of deployment, scaling, management, and monitoring infrastructure necessary for an app written in a different language creates an intractable obstacle to reaping the benefits of polyglot.

Original title and link: Polyglot Platform (NoSQL database©myNoSQL)

via: http://blog.heroku.com/archives/2011/8/3/polyglot_platform/