Displaying 1 to 15 from 15 results

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.

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.

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.

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.

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.

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.

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.

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.

CouchDB - A Database for the Web

Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution.

Apache Arrow - Powering Columnar In-Memory Analytics

Apache arrow is an open source, low latency SQL query engine for Hadoop and NoSQL. Arrow enables execution engines to take advantage of the latest SIMD (Single input multiple data) operations included in modern processors, for native vectorized optimization of analytical data processing. Columnar layout of data also allows for a better use of CPU caches by placing all data relevant to a column operation in as compact of a format as possible.

AsterixDB - Big Data Management System (BDMS)

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more).

ConcourseDB - Self-tuning database designed for both transactions and ad hoc analytics across time

ConcourseDB is a distributed self-tuning database with automatic indexing, version control and ACID transactions. ConcourseDB provides a more intuitive approach to data management that is easy to deploy, access and scale while maintaining the strong consistency of traditional database systems.

havalo - Non Distributed NoSQL Key Value Store

A zero configuration, non-distributed NoSQL key-value store that runs in any Servlet 3.0 compatible container. With Havalo, simply drop havalo.war into your favorite Servlet 3.0 compatible container and with almost no configuration you'll have access to a fast and lightweight K,V store backed by any local mount point for persistent storage.

TinyDB - Lightweight Document Oriented Database

TinyDB is a lightweight document oriented database optimized for your happiness. It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. TinyDB neither needs an external server nor any dependencies from PyPI. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares.