Embedded Mysql Database In Java Application

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

1. Languages used in COUCHDB: Erlang features: DB consistency, easy to use license: Apache protocol: http/rest bidirectional data replication, continuous or temporary processing, processing with conflict checking, therefore, The use of Master-master replication (see note 2) mvcc– write without blocking read operation Pre-save version crash-only (reliable) design requires data compression view: Embedded mapping/Reduce formatted view: List display support for server ...

Symmetricds is a data synchronization/replication software based on a web-independent database. It is an open-source software that supports replication of multiple primary databases, filtering synchronization, network crossover in heterogeneous environments, and a single direction or two-way asynchronous data replication provided by multiple users. It uses web and database technology to replicate between real-time http://www.aliyun.com/zixun/aggregation/22.html "> relational databases and tables." The software is designed to extend ...

2010 should be remembered because SQL will die this year. This year, the relational database is on the verge of falling, and this year developers found they no longer needed long, laborious columns or tables to store data. 2010 will be the starting year for document databases. Although this momentum has lasted for many years, it is now the era of more and broader document-based databases. From cloud-based Amazon to Google, a large number of open source tools, and the ensuing CouchDB and MongoDB. So what is MongoD ...

The operating language of the data is SQL, so many tools are developed with the goal of being able to use SQL on Hadoop. Some of these tools are simply packaged on top of the MapReduce, while others implement a complete data warehouse on top of the HDFs, while others are somewhere between the two. There are a lot of such tools, Matthew Rathbone, a software development engineer from Shoutlet, recently published an article outlining some common tools and scenarios for each tool and not ...