Splice Machine
Best Suited : Splice machine can we use top of the Hadoop with HBASE . This will give all the feature of the RDBMS and OLAP and OLTP reporting could be done easily . Processing time is much faster than traditional NoSql DB.
Example : Real time data processing , OLTP and OLAP reporting
HBASE
Best Used: Data storage is huge and Map reduce used for the processing
Example : Search Engine , Analysis huge data
Cassandra
Best Used : Huge Data storage , Real time process analysis with Spark
Example : Real time log or feed analysis
DynamoDB
Best Used : Fast responses and Heavy query
Used: Best for scalable , latency control and first query
CouchDB
Best Used : For collection, occasionally changing data, on which pre-defined queries are to be run. Best for versioning
Example : CRM , CMS
MongoDB
Best Used: Best for dynamic queries. best for define indexes, without the Map/Reduced. Best for big DB.
Example : For bulk storage
Couch Base
Best Used : Application with low-latency data access, high availability and high concurrence
Example : Web Applications with high concurrency, games
neo4j
Best Used : For graph, interconnected data
Example :Search routes , network topology and maps etc
Best Suited : Splice machine can we use top of the Hadoop with HBASE . This will give all the feature of the RDBMS and OLAP and OLTP reporting could be done easily . Processing time is much faster than traditional NoSql DB.
Example : Real time data processing , OLTP and OLAP reporting
HBASE
Best Used: Data storage is huge and Map reduce used for the processing
Example : Search Engine , Analysis huge data
Cassandra
Best Used : Huge Data storage , Real time process analysis with Spark
Example : Real time log or feed analysis
DynamoDB
Best Used : Fast responses and Heavy query
Used: Best for scalable , latency control and first query
CouchDB
Best Used : For collection, occasionally changing data, on which pre-defined queries are to be run. Best for versioning
Example : CRM , CMS
MongoDB
Best Used: Best for dynamic queries. best for define indexes, without the Map/Reduced. Best for big DB.
Example : For bulk storage
Couch Base
Best Used : Application with low-latency data access, high availability and high concurrence
Example : Web Applications with high concurrency, games
neo4j
Best Used : For graph, interconnected data
Example :Search routes , network topology and maps etc