Relational Database

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Easy Java Persistence 2.4 Publishing relational database persistent Java API

EJP is a powerful and easy-to-use http://www.aliyun.com/zixun/aggregation/22.html "> relational database Persistence Java API. The main features of EJP include: 1, Object/Relationship (object/relational) automatic Mapping (A-O/RM) 2, automatic processing of all associations 3, automatic persistence tracking EJP no need for mapping annotations or XML matching ...

Pyrseas 0.4.1 Release relational database maintenance tools

Pyrseas is a tool that provides frameworks and utilities to upgrade and maintain http://www.aliyun.com/zixun/aggregation/22.html > relational databases. It uses a Dbtoyaml utility to create a yaml description of the PostgreSQL database table and uses the YAMLTODB tool to generate SQL statements that modify the input YAML specification of the database match. It is also used to develop data management tools to complement a flexible database development ...

Cego 2.10.0 Publish a relational database that supports transactional and SQL query languages

Cego 2.10.0 Update log: · Elemination of many compiler warnings for the clang c++++ This also brought up several bugs fixes in the Code. A lot to the "Clang team" for the ...

Cego 2.10.1 Publish a relational database that supports transactional and SQL query languages

Cego 2.10.1 Update log: Complete all 2.10.1 tests, the IWORXS pattern is a good test case to prove all the new features. Cego implements a http://www.aliyun.com/zixun/aggregation/22.html "> relational database that supports transactional and SQL query languages, supporting general database functions as well as indexes, views, stored procedures, and so on. CEGO-DBD is an open source program that implements the per ...

Cego 2.10.6 Publish a relational database that supports transactional and SQL query languages

Cego 2.10.6 This release urgently fixes some features including Nextcount and SetCount. Cego implements a http://www.aliyun.com/zixun/aggregation/22.html "> relational database that supports transactional and SQL query languages, supporting general database functions as well as indexes, views, stored procedures, and so on. Download Address: http://www.lemke-it.com/cego-2.10 ...

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Hypersql 3.9.0 Publish SQL relational database engine

Hypersql is a Java-written sqlhttp://www.aliyun.com/zixun/aggregation/22.html "> relational database engine, its core is completely multi-threaded, supporting two-way locks and MVCC ( Multi-version concurrency control, with almost complete support for ANSI-92 SQL, supports common data types, and the latest version adds support for BLOB and CLOB data, up to 64T of data. At the same time, Hypersql is also a ...

Cego v2.8.4 Publish a relational database that supports transactional and SQL query languages

Cego implements a http://www.aliyun.com/zixun/aggregation/22.html "> relational database that supports transactional and SQL query languages, supporting general database functions as well as indexes, views, stored procedures, and so on. CEGO-DBD is an Open-source program that implements the DBD drive for Perl to connect to the C++ego database system. Licensing protocol: GPL Development language: C + + Perl operating system ...

Pyrseas 0.4.0 Release relational database maintenance tools

Pyrseas is a tool that provides frameworks and utilities to upgrade and maintain http://www.aliyun.com/zixun/aggregation/22.html > relational databases. It uses a Dbtoyaml utility to create a yaml description of the PostgreSQL database table and uses the YAMLTODB utility to generate SQL statements to modify the input YAML specification of the database match. It is also used to develop data management tools to complement a flexible database ...

OpenLink Virtuoso 6.1.4 Publishing Object relational database engine

OpenLink Virtuoso is an extensible, High-performance sql-200n Standard object http://www.aliyun.com/zixun/aggregation/22.html "> relational database engine. It provides advanced database management for SQL, XML, and RDF. Support virtuoso interactions include: industry standard query Language, protocols, APIs, and various data formats: ODBC, JDBC, DB, Ado.net, XM ...

Ventana:hadoop and traditional relational database can coexist

The rapidly growing structure and http://www.aliyun.com/zixun/aggregation/13739.html of enterprises "> The management requirements of unstructured data is an important factor in driving enterprises to use Apache Hadoop software. But Hadoop does not replace all existing technologies, according to a study published late last month by Ventana that Hadoop is now working with traditional relational databases (RDBMS). ...

Discussion on NoSQL database

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid.   But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...

Set up highly available MongoDB cluster (above): MongoDB configuration and copy set

The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

Research on an incremental processing mechanism of parallel data based on NoSQL

Research on an incremental processing mechanism of parallel data based on NoSQL Huazhong University of Liu Cloud computing has brought new opportunities and challenges to the process of data processing. The traditional relational database is unable to meet the requirement of large data, and the distributed non relational database can satisfy the high concurrency and high demand of reading and writing because of its high reliability and high availability. However, the superior performance of distributed, relational databases is at the expense of SQL data-processing capabilities. Therefore, it is an important research to improve the data processing ability of the non relational database.

Database research in cloud computing era

Introduction with the advent of the cloud computing era, various types of Internet applications are emerging, the relevant data model, distributed architecture, data storage and other database related technical indicators also put forward new requirements. Although the traditional relational database has occupied the unshakable position in the data storage, but because of its inherent limitation, has been unable to satisfy the cloud computing age to the data expansion, reads and writes the speed, the support capacity as well as the construction and the operation cost request. The era of cloud computing has put forward a new demand for database technology, which is mainly manifested in the following aspects. Mass data processing: to ...

Definition and analysis of the related concepts of large data

By clearly defining the relevant concepts of large data, enterprises can plan their own data system correctly, and locate the traditional technology and new technical methods appropriately. With the rapid development of it technology and the emergence of new technologies, the industry has generally confused many basic concepts. This is also the case in today's most popular large data fields. The concepts of structured data and unstructured data are frequently cited, but the parties are often diverging. The confusion of the concept of data has greatly influenced the enterprise to plan the data system clearly and correctly. The author of this article from the actual work ...

Definition and analysis of the related concepts of large data

By clearly defining the relevant concepts of large data, enterprises can plan their own data system correctly, and locate the traditional technology and new technical methods appropriately. With the rapid development of it technology and the emergence of new technologies, the industry has generally confused many basic concepts. This is also the case in today's most popular large data fields. The concepts of structured data and unstructured data are frequently cited, but the parties are often diverging. The confusion of the concept of data has greatly influenced the enterprise to plan the data system clearly and correctly. The author of this article from the actual ...

Inventory 2013:21 Best Open Source 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 ...

IBM DB2 General Architect: The future of the database is NoSQL

Memory computing, Hadoop and NoSQL are the three hotspots of large data analysis in the 2011. Curt Cotner, an IBM academician and DB2 General architect, said in a speech at the IOD2011 conference held in Las Vegas that the future direction of database development was the non-relational database NoSQL. At present, Google's BigTable and Amazon's dynamo are used NoSQL database, and the traditional relational database in dealing with ultra-high-scale, high concurrent SNS, web2.0 site has been powerless. IBM Institute ...

Research on heterogeneous large data storage method

Research on the storage method of heterogeneous large data the main research contents of Beijing Jiaotong University Tanxu include the following aspects: first, in view of the emergence of large data and the challenges, from a technical point of view of the development of the non-relational database. In general, the characteristics of relational database and non relational database are compared, this paper analyzes the advantages and disadvantages of the relational database and the bottleneck in the large data environment, deeply studies the structure, theory, feature and storage model of the non relational database, and expounds its advantages compared with the relational database. Then, the function and performance of micro ...

Internet Enterprise Operation Foundation: seven Common database recommendations

Intermediary transaction SEO diagnosis Taobao Guest Cloud mainframe technology Hall It is well known that Oracle, IBM, Microsoft, the three major database areas, and still tirelessly launch new products, and constantly enhance its functionality, although the database is only part of their many product lines, but the data as a basis for it,   All the efforts to make the data seem so important. Database (DATABASE,DB) is a collection of organized, shared, and managed data that is stored in a computer for a long time. In the traditional sense, the database ...

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