Bio4j is a bioinformatics graph based DB including most data available in Uniprot KB (SwissProt + Trembl), Gene Ontology (GO), UniRef (50,90,100), RefSeq, NCBI Taxonomy, and Expasy Enzyme DB. Bio4j provides a completely new and powerful framework for protein related information querying and management. Since it relies on a high-performance graph engine, data is stored in a way that semantically represents its own structure.
http://bio4j.com/Tags | bioinformatics graph-database database graphs |
Implementation | Java |
License | AGPLv3 |
Platform | OS-Independent |
GraphView is a DLL library that enables users to use SQL Server or Azure SQL Database to manage graphs. It connects to a SQL database locally or in the cloud, stores graph data in tables and queries graphs through a SQL-extended language. It is not an independent database, but a middleware that accepts graph operations and translates them to T-SQL executed in SQL Server or Azure SQL Database. As such, GraphView can be viewed as a special connector to SQL Server/Azure SQL Database. Developers will experience no differences than the default SQL connector provided by the .NET framework (i.e., SqlConnection), only except that this new connector accepts graph-oriented statements.GraphView is a DLL library through which you manage graph data in SQL Server (version 2008 and onward) and Azure SQL Database (v12 and onward). It provides features a standard graph database is expected to have. In addition, since GraphView relies on SQL databases, it inherits many features in the relational world that are often missing in native graph databases.
The OpenCog AtomSpace is a knowledge representation (KR) database and the associated query/reasoning engine to fetch and manipulate that data, and perform reasoning on it. Data is represented in the form of graphs, and more generally, as hypergraphs; thus the AtomSpace is a kind of graph database, the query engine is a general graph re-writing system, and the rule-engine is a generalized rule-driven inferencing system. The vertices and edges of a graph, known as "Atoms", are used to represent not only "data", but also "procedures"; thus, many graphs are executable programs as well as data structures. The AtomSpace is a platform for building Artificial General Intelligence (AGI) systems. It provides the central knowledge representation component for OpenCog. As such, it is a fairly mature component, on which a lot of other systems are built, and which depend on it for stable, correct operation in a day-to-day production environment.
graph-database rule-engine knowledge-representation query-engine logic-programming knowledge-graph knowledge-base query-language relational-database relational-algebra reasoning rewrite-system rewriting inference-engine inference inference-rulesNeo4j 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.
database graph-database embedded-database no-sqlTitan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals. It is a native Blueprints enabled graph database and as such, it supports the full TinkerPop stack of technologies.
graph-database database scalable distributed transactional-database graphJanusGraph is a highly scalable graph database optimized for storing and querying large graphs with billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a transactional database that can support thousands of concurrent users, complex traversals, and analytic graph queries.
graph-database tinkerpop gremlin hbase cassandra elasticsearch solr bigtable distributedFlockDB is much simpler than other graph databases such as neo4j because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites. Twitter uses FlockDB to store social graphs (who follows whom, who blocks whom) and secondary indices. As of April 2010, the Twitter FlockDB cluster stores 13+ billion edges and sustains peak traffic of 20k writes/second and 100k reads/second.
graph-database nosql-database database nosql distributed graph scalableArangoDB is a multi-model, open-source database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. Use ACID transactions if you require them. Scale horizontally with a few mouse clicks. The supported data models can be mixed in queries and allow ArangoDB to be the aggregation point for your data.
multi-model graph-database document-database key-value database distributed-database arangodb nosql graphdbGaffer is a graph database framework. It allows the storage of very large graphs containing rich properties on the nodes and edges. Several storage options are available, including Accumulo, Hbase and Parquet. It is designed to be as flexible, scalable and extensible as possible, allowing for rapid prototyping and transition to production systems.
accumulo graph graph-database hadoop big-data aggregation hbase parquet sparkSee doc/build.html within the source tree or https://graphviz.org/doc/build.html for prerequisites and detailed build notes. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.
Neo4jRestSharp is a .Net client for the Neo4j Rest Server. Neo4j is an open sourced java based transactional graph database that stores data structured in graphs rather than in tables.
neo4j graph graph-database graph-theory rest restfulRedisGraph is the first queryable property graph database to use sparse adjacency matrices and linear algebra to represent and query graphs. To see RedisGraph in action, visit Demos.
graphdb redis module opencypherAgensGraph is a new generation multi-model graph database for the modern complex data environment. AgensGraph is a multi-model database, which supports the relational and graph data model at the same time that enables developers to integrate the legacy relational data model and the flexible graph data model in one database. AgensGraph supports ANSI-SQL and openCypher (http://www.opencypher.org). SQL queries and Cypher queries can be integrated into a single query in AgensGraph. AgensGraph is based on the powerful PostgreSQL RDBMS, and is very robust, fully-featured and ready for enterprise use. AgensGraph is optimized for handling complex connected graph data and provides plenty of powerful database features essential to the enterprise database environment including ACID transactions, multi-version concurrency control, stored procedure, triggers, constraints, sophisticated monitoring and a flexible data model (JSON). Moreover, AgensGraph leverages the rich eco-systems of PostgreSQL and can be extended with many outstanding external modules, like PostGIS.
graph-database multi-model-database postgresql enterprise nosql graphdbArangoDB 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.
database nosql no-sql key-value key-value-store graph-database document-databaseInfoGrid is a Web Graph Database with a many additional software components that make the development of REST-ful web applications on a graph foundation easy. GraphDatabase is the heart of InfoGrid. Graph database could be replicated across servers. It provides an common interface to store data either in file system or relational or non-relational database.
database graph-databaseHyperGraphDB 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.
database graph-database embedded-database no-sqlCayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
database graph-database graph semantic linked-dataDgraph is a horizontally scalable and distributed graph database, providing ACID transactions, consistent replication and linearizable reads. It's built from ground up to perform for a rich set of queries. Being a native graph database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network calls in a cluster.
graph-database database distributed throughput latency production graphql-serverGUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful. GUN does state synchronization out of the box. It is peer-to-peer by design, meaning you have no centralized database server to maintain. It has offline support, works even without internet. Users can save data offline and when when the network comes back online GUN will automatically synchronize the data.
graph-database nodb database javascript-database distributed-cache cache peer-to-peer realtimeGraph is a semantic database that is used to create data-driven applications. Embedded frameworks require a minimum deployment target of iOS 8 or OS X Yosemite (10.10).
coredata data database graph graph-theory data-driven data-driven-design data-driven-workflows semantic-database icloud icloud-sync swift-3 cosmicmind
We have large collection of open source products. Follow the tags from
Tag Cloud >>
Open source products are scattered around the web. Please provide information
about the open source projects you own / you use.
Add Projects.