12 projects tagged "DBMS"
Updated 23 Oct 2010
Ingres
| Pop | 133.08 |
|---|---|
| Vit | 4.88 |
Ingres is a feature rich and robust database (RDBMS) that's free to use, modify, and redistribute. Support is available for a reasonable price if you need it. Ingres supports many programming languages, including Python, Ruby, Java, Perl, C/C++, and more. Ingres has a bit of a learning curve, but once mastered is extremely powerful and highly tunable. It is also very stable and reliable. Ingres is one of a fairly small number of databases providing excellent geospatial features including data types and functions compliant with the Open Geospatial Consortium (OGC) Simple Feature Specification (SFS) for SQL.
Updated 28 Jun 2012
sqlmap
| Pop | 223.57 |
|---|---|
| Vit | 5.52 |
sqlmap is a penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers. It comes with a detection engine, many niche features, and a broad range of switches including database fingerprinting, data fetching from the database, and accessing the underlying file system and executing commands on the operating system via out-of-band connections.
Updated 22 Dec 2010
DBD-SQLite
| Pop | 38.37 |
|---|---|
| Vit | 2.11 |
DBD::SQLite is a Perl DBI driver for SQLite that includes the entire thing in the distribution. Simply installing this module provides you with a fast transaction capable RDBMS for your Perl project.
Updated 12 Mar 2013
wsrep patch for MySQL
| Pop | 306.36 |
|---|---|
| Vit | 18.55 |
wsrep-enabled MySQL (previously MySQL/Galera cluster) can use wsrep replication providers, such as Galera, to form a cluster. wsrep API is an abstract replication interface that supports global transaction ID, true multi-master capability, conflict detection and resolution, and parallel applying and is transparent to triggers, stored procedures, and functions by replicating only final transaction results. Only the InnoDB storage engine and DDL commands are supported by this patch.
Updated 25 Dec 2009
SELTA@Etersoft
| Pop | 20.00 |
|---|---|
| Vit | 35.27 |
SELTA@Etersoft enables programs that store data in MS SQL Server to work with PostgreSQL. It translates SQL queries from the T-SQL dialect (used in MS SQL Server) to pl/pqSQL (used by PostgreSQL). Though SELTA@Etersoft is universal, it needs improvement to support concrete applications. At the moment, the translator is oriented to the popular Russian accounting system «1С:Предприятие 7.7». If your application can store data only in MS SQL, and you want it to be compatible with PostrgreSQL, support for your application can be implemented.
Updated 25 Dec 2012
OrientDB
| Pop | 286.01 |
|---|---|
| Vit | 15.73 |
OrientDB is a NoSQL DBMS which can store 150,000 documents per second on common hardware. Even with a document-based database, the relationships are managed as in graph databases, with direct connections among records. You can traverse entire or parts of trees and graphs of records in a few milliseconds. It supports schema-less, schema-full, and schema-mixed modes, has a strong security profiling system based on users and roles, and supports SQL between the query languages. Thanks to the SQL layer, it's straightforward to use for people skilled in the relational world.
Updated 28 May 2010
Orient Key/Value Server
| Pop | 49.40 |
|---|---|
| Vit | 2.70 |
Orient Key/Value Server is based on the Document Database technology and is accessible as an embedded repository via Java APIs or via HTTP using a RESTful API. It uses a new algorithm called RB+Tree, derived from the Red-Black Tree to maintain tree balance, and from the B+Tree storing the links to records in pages to optimize memory consumption and loading time. Orient Key/Value Server scales out very well in a cluster with thousands of running machines: Orient will divide the load among all the nodes. Clustering, by default, works in auto-discovery mode: when a node starts, it attaches itself to the cluster if one is available. When a node goes down, the cluster automatically rebalances itself.
Updated 09 Aug 2010
InfinityDB
| Pop | 32.68 |
|---|---|
| Vit | 31.87 |
InfinityDB is an all-Java B+Tree database engine that is embeddable in the smallest to the largest applications that run on hand held devices, workstations, servers, or in distributed systems. InfinityDB provides a data integrity guarantee through all non-media failures, provides a simple API with only a few basic methods, and requires no administrative support. Version 2 offers full ACID transactionality without a log and with fine-grained locks. Programmers can easily superimpose their own data model or employ the Entity-Attribute-Value model by direct low-level access. The basic engine provides multi-valued or set attributes, all primitive Java types, unlimited Large Objects, heterogenous values, composite keys (Entities) and values, and unlimited sparse attributes, all extensible in-place with no schema changes.
Updated 13 Dec 2010
SpiderDB
| Pop | 90.27 |
|---|---|
| Vit | 3.19 |
SpiderDB is a lightweight database schema crawler library developed using Java. It is a simple library that can be used to Crawler the underlying schema of a database and return POJO objects, which makes it very easy to use. This library takes care of all the differences among the various database management systems, and makes application code free from the DBMS differences.You keep using same POJOs even if you change the underlying DBMS.
Updated 01 Nov 2010
CUBRID
| Pop | 17.55 |
|---|---|
| Vit | 30.52 |
CUBRID is a comprehensive relational database management system highly optimized for Web applications. CUBRID is fast and powerful. Its multi-process architecture and its multi-threaded server implementation scale very well as the data and the number of users grow. CUBRID has optimizations such as Click Counter feature and Fast Concurrent Insertions, which are designed for Web applications' high workloads. CUBRID is a reliable and feature-rich DBMS. The high availability (HA) and replication features can help you provide non-stop service. Query plan caching and query result caching allow your application to serve read-mostly queries with minimal server resource usage. It supports unlimited databases. As a relational database system, CUBRID provides seamless transactions even for your high-volume databases, regardless of the number and the size of your databases or tables.
