Hundreds of millions of data, focusing on OLTP can continue to Mysql, focusing on OLAP, we have to consider the scenarios.

Real-time computing scenarios: emphasize real-time, commonly used in real-time requirements of high places, you can choose Storm;

Batch computing scenarios: emphasize batch processing, commonly used in data mining, analysis, you can choose Hadoop;

Real-time query scenarios: emphasize the query of the real-time response, commonly used in the DB data into an indexed file, the search engine to query, you can choose solo;

Real-time query scenarios: emphasize query real-time response, commonly used to transform data into indexed files, through the search engine to query. search engine to query, you can choose solr/elasticsearch;

Enterprise ODS/EDW/data mart scenarios: emphasizing real-time analysis of big data based on relational databases, commonly used in business data integration, you can choose Greenplum;

Database systems are generally divided into two types:

One type is For front-end applications, the application is relatively simple, but heavy throughput and high concurrency OLTP type;

One is heavy computing, statistical analysis of large data sets OLAP type.