Open Source Embedded Database

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 ...

Naresh Kumar is a software engineer and enthusiastic blogger, passionate and interested in programming and new things. 　　Recently, Naresh wrote a blog, the open source world's two most common database MySQL and PostgreSQL characteristics of the detailed analysis and comparison. If you're going to choose a free, open source database for your project, you may be hesitant between MySQL and PostgreSQL. MySQL and PostgreSQL are free, open source, powerful, and feature-rich databases ...

This Thursday http://www.aliyun.com/zixun/aggregation/1560.html ">facebook announces open source its embedded database Rocksdb (an embedded Key-value storage system), 　　The database can take full advantage of the performance of Flash, greatly improve the speed of application server. Facebook uses ROCKSDB to drive a number of user-oriented applications that are poorly performing because of the need to access external storage over the network ...

February 26, LinkedIn open-source Its low latency change data capture system Databus, which can capture data on MySQL and Oracle data sources, but now LinkedIn is only open source for Oracle connectors. Databus, as a consistent safeguard component of the LinkedIn ecosystem, is a product with high security, even if it is still highly effective in the case of low latency, and its biggest characteristic is unlimited lookback ability and rich subscr ...

Berkeley DB (LIBDB) is an industry-leading open source, embedded storage engine that provides embedded databases that support traditional client/server applications. It includes B + trees, queues, extended linear hashes, access methods for fixed and variable length records, processing, locking, logging, shared memory caching, database recovery, and synchronization of highly available systems. DB supports C, c+, C #, Java, PHP, and Perl APIs. It supports data in key-value pairs (NoSQL), SQL, and Java object formats. It is suitable for ...

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Doug cutting is based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapred ...

A typical Web server uses a database to store information, and almost every Web site uses a database. There are two possibilities, one of which is to use small databases, such as aceess, that are typically stored locally.　Another is to use a large database, such as SQL Server,oracle, which is typically placed on another machine, and then accessed through ODBC. Because the page often needs to query a variety of information, modify user information and other operations, in essence, and database dealings. This gives illegal users a chance to take advantage of them. To the local ...

This article has collated 20 free open source web development tools, has the development tool, the open source system, also has the free chart plugin, the rich media editor and so on, likes the classmate to look. Prepros Prepros is an Open-source application for Windows systems that automatically verifies pager, Sass, Scss, Stylus, Jade, Coffeescript, Haml, and markdown. He can automatically compile code, insert CSS (or H ...).

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.