SymmetricDS Pro is software for data replication, change data capture, and data transformation in a heterogeneous enterprise environment. Performance and scalability allow it to replicate thousands of databases asynchronously in near real time. With flexible configuration and powerful scripting and programming interfaces, it can be extended to meet a range of requirements. Based on the popular open source version of SymmetricDS, the Pro edition enhances the experience with a click-through installer, Web management console, and production support.
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.
Neo4j is a graph database, a fully transactional database that stores data structured as graphs. A graph is a flexible data structure that allows for a more agile and rapid style of development. You can think of Neo4j as a high-performance graph engine with all the features of a mature and robust database. The programmer works with an object-oriented, flexible network structure rather than with strict and static tables, yet enjoys all the benefits of a fully transactional, enterprise-strength database. The community edition is GPLv3 licensed, while the advanced and enterprise editions are AGPLv3 licensed.
MckoiDDB is a distributed database system for applications that need to support low latency random access (read and write) queries on datasets that span a cluster of machines in a network. The software provides the system for managing the storage of data over the network cluster and a client API for accessing and querying the data. The MckoiDDB system can scale up or down as resources are added or removed in the network, and is flexible in how the logical data models of an application are designed and implemented. MckoiDDB can be installed on high-speed private networks and over instances in Cloud service providers.
BaseX is a light-weight, high-performance, and scalable XML database system and XPath/XQuery processor, including full support for the W3C Update and Full Text extensions. An interactive and user-friendly GUI frontend gives you great insight into large XML data instances. It is platform independent and works out of the box.
TM++ is an embedded, portable, persistent Topic Maps engine. It is designed to work according to the ISO standards for TMDM 1.0 and XTM 1.0/2.0 on Windows and most POSIX-compliant operating systems like Unix and Linux. It has interfaces for C++, ALLEGROCL, CHICKEN, CLISP, CFFI, C#, Guile, Java, Lua, Modula 3, Mzscheme, Ocaml, Octave, Perl, PHP4, PHP5, Pike, Python, R (aka GNU S), Ruby, Lisp S-Expressions, Tcl, Common Lisp/UFFI, and XML.
GetData is a library that provides an API to interface with dirfile databases. The dirfile database format is designed to provide a fast, scalable format for storing and reading binary, synchronously-sampled, time-ordered data. GetData was originally written for the BOOMERanG and BLAST experiments as a data format suitable for use for both quick-look and data reduction. It is now used by many other cosmological and astrophysical experiments including ACT, Planck, Spider, Keck, as well as other projects.
jpt is a generic database toolkit. The package's main component is the libjpt library, which can be easily linked into C++ and C programs. A jpt database consists of a single sparse table, with an arbitrary number of rows and columns. The programming interface is simple, and the data structures are designed for fast random inserts and lookups.