Search Results for "db query"
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Showing 7 open source projects for "db query"
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SQL Explorer
Easily share data across your company via SQL queries
... connections, to many different SQL database types, a schema explorer, query history (e.g. lightweight version control), a basic security model, in-browser pivot tables, and more. SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. SQL Explorer is inspired by any number of great query and reporting tools out there. -
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QAL
Query Abstraction Layer
Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL... -
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CSV*Extractor for RDBMS (command line)
Extract table data is CSV format from 14 databases.
Spools data for a given query or table from 14 databases. Windows command-line application. -
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BlackRay is a high performance relational database, which combines regular database features with search engine like performance. Full transaction support, SQL and version controlled persisted snapshots characterize BlackRay.
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pyGTM is a package of python, C and mumps which enables a python module to provide interactive storage retrieval and query of python objects in GT.M (mumps) globals.
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This is an experiment in creating the best database API I can come up with. It is an alternative to query languages. The latest version is being written in Scala using Berkeley DB Java and will run on the Java VM.
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PONY - ORM & web publication framework
Pony is a fast and easy to use Python ORM
Pony is an object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using generator expressions. Pony works with entities which are mapped to a SQL database. Using generator syntax for writing queries allows the user to formulate very eloquent queries. It increases the level of abstraction and allows a programmer to concentrate on the business logic of the application. Following is an example of a query in Pony: select(p for p...
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