5 projects tagged "Database Engines/Servers"
Updated 23 Feb 2011
Berkeley DB XML
| Pop | 150.96 |
|---|---|
| Vit | 3.26 |
Berkeley DB XML is a native XML database engine for use within your product. Made available as a C++ library with language bindings for Java, Perl, Python, PHP, and Tcl, it integrates directly into your application (it is not a standalone database server). It provides XQuery access into a database of document containers. XML documents are stored and indexed in their native format using Berkeley DB as the transactional database engine.
Updated 27 Nov 2005
Practical Query Analyzer
| Pop | 120.08 |
|---|---|
| Vit | 3.65 |
Practical Query Analyzer produces HTML reports on the most frequent queries, slowest queries, queries by type (select/insert/update/delete), and more for both PostgreSQL and MySQL log files.
Updated 14 Nov 2011
Redland RDF Library Language Bindings
| Pop | 91.98 |
|---|---|
| Vit | 9.91 |
redland-bindings provides high-level language bindings for the Redland RDF C libraries, allowing full access to the C APIs along with enhancements for individual languages. It currently provides bindings in Perl, PHP, Python, and Ruby.
Updated 05 Feb 2005
SQLite/Ruby
| Pop | 43.78 |
|---|---|
| Vit | 2.28 |
SQLite/Ruby is a set of bindings to allow the SQLite (v 2.x) database to be used from Ruby scripts. It provides an object-oriented interface to all major functions of the SQLite API, including the create_function and create_aggregate functions. It also supports bind parameters, transactions, internal and external iterators, type translation in queries, and easy access to various pragmas.
Updated 05 Jul 2011
VoltDB
| Pop | 42.14 |
|---|---|
| Vit | 26.22 |
VoltDB is a blazingly fast relational database system. It is specifically designed to run on modern scale-out architectures: fast, inexpensive servers connected via high-speed data networks. It is aimed at a new generation of database applications - real-time feeds, sensor-driven data streams, micro-transactions, low-latency trading systems - requiring database throughput that can reach millions of operations per second. What’s more, the applications that use this data must scale on demand, provide flawless fault tolerance, and enable real-time visibility into the data that drives business value. It includes client application drivers for applications written in Java, C++, C#, PHP, and Python. VoltDB community members have also authored client libraries for Erlang, Ruby and Node.js. There are streaming export capabilities for leading analytic database environments, including Apache Hadoop.
