Displaying 1 to 10 from 17 results

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs


HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for Knowledge management, Artificial Intelligence and Semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. It could also be used as graph database or as (non-SQL) relational database.

Hypertable - A high performance, scalable, distributed storage and processing system for structured


Hypertable is based on Google's Bigtable Design, which is a proven scalable design that powers hundreds of Google services. Many of the current scalable NoSQL database offerings are based on a hash table design which means that the data they manage is not kept physically ordered. Hypertable keeps data physically sorted by a primary key and it is well suited for Analytics.

HBase - Hadoop database


HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.

Infobright - The Database for Analytics


Infobright combines a columnar database with our Knowledge Grid architecture to deliver a self-managing, self-tuning database optimized for analytics. Infobright eliminates the need to create indexes, partition data, or do any manual tuning to achieve fast response for queries and reports.

InfiniDB - Scale-up analytics database engine for data warehousing and business intelligence


InfiniDB Community Edition is a scale-up, column-oriented database for data warehousing, analytics, business intelligence and read-intensive applications. InfiniDB's data warehouse columnar engine is multi-terabyte capable and accessed via MySQL.

Neo4j - Graph Database


Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.

STSdb - Embedded .NET Database


STSdb is an embedded object database system (NoSQL key/value pair storage engine) designed for mission critical and real-time applications. It provides intuitive use and blazing performance. It has transaction support, Snapshots, LINQ, Custom compression and lot more. STSdb is implemented and inter-operate on Windows, Linux, BSD, UNIX, Mac OS X under the Mono platform.

Terrastore - Scalable, elastic, consistent document store.


Terrastore is a modern document store which provides advanced scalability and elasticity features without sacrificing consistency. Terrastore is based on Terracotta, so it relies on an industry-proven, fast (and cool) clustering technology. Terrastore is accessed through the universally supported HTTP protocol. Terrastore is a distributed document store supporting single-cluster and multi-cluster deployments.

ArangoDB - The Multi-purpose NoSQL DB


ArangoDB is a multi-purpose open-source database with flexible data model for documents, graphs, and key-values. Build high performance application using a convenient sql-like query language or JavaScript/Ruby extensions. Its key features are Schema-free, Convenient querying using AQL, Extendable through JS, Space efficiency, Supports modern storage hardware, like SSD and large caches and lot more.

Druid IO - Real Time Exploratory Analytics on Large Datasets


Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations. Druid can load both streaming and batch data.