GraphTech Ecosystem - part 1: Graph Databases
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The document outlines various graph database technologies and their features within the graphtech ecosystem of 2019. It provides brief descriptions of each database, including functionalities, supported query languages, and use cases. Notable technologies include 3store, AgensGraph, Amazon Neptune, and JanusGraph, among others, highlighting their roles in graph visualization, storage, and transaction processing.
GraphTech Ecosystem - part 1: Graph Databases
- 1. The GraphTech Ecosystem 2019
- 2. The three layers for graph technology Graph visualization tools Graph computing framework Graph databases Visualize Analyze Store Backend Frontend
- 3. The graph database ecosystem
- 4. The graph database ecosystem 2019
- 5. 3store graph 3store http://threestore.sourceforge.net/ About 3store is an RDF "triple store", written in C and backed by MySQL and Berkeley DB. It is an optimisation and port of an older triple store (WebKBC). It provides access to the RDF data via RDQL or SPARQL over HTTP, on the command line or via a C API.
- 6. 4store 4store https://4store.github.io/ About 4store was designed by Steve Harris and developed at Garlik to underpin their Semantic Web applications. It has been providing the base platform for around 3 years. At times holding and running queries over databases of 15GT, supporting a Web application used by thousands of people.
- 7. AgensGraph AgensGraph https://bitnine.net/agensgraph-2/ About 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.
- 8. Ajgu Ajgu https://bitbucket.org/amirouche/ajgu-gr aphdb About Ajgu is graph database backed by Oracle Berkeley Database key/value store aka. bsddb. It's meant to be an easy to use, just works persistent graph for people that want to experiment with graph databases. Somekind of SQLite for graph databases in Python.
- 9. AllegroGraph AllegroGraph https://franz.com/agraph/allegrograph/ About AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage, enabling it to scale to billions of quads while maintaining superior performance. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications. AllegroGraph is Linkurious partner - more information
- 10. AnzoGraph AnzoGraph https://www.cambridgesemantics.com/ product/anzograph/ About AnzoGraph™ is a native, Massively Parallel Processing (MPP) distributed Graph OLAP (GOLAP) database, providing hyperfast advanced analytics at Big Data scale.
- 11. Amazon Neptune Amazon Neptune https://aws.amazon.com/neptune/ About Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.
- 12. Apache Jena TBD https://jena.apache.org/documentation/t db/index.html About Apache Jena is an open source Semantic Web framework for Java. It provides an API to extract data from and write to RDF graphs. TDB is a component of Jena for RDF storage and query. It support the full range of Jena APIs. TDB can be used as a high performance RDF store on a single machine. Apache Jena TBD
- 13. Apache Rya Apache Rya https://rya.incubator.apache.org/ About Rya is a cloud-based RDF triple store that supports SPARQL queries. Rya is a scalable RDF data management system built on top of Apache Accumulo®. Rya uses novel storage methods, indexing schemes, and query processing techniques that scale to billions of triples across multiple nodes. Rya provides fast and easy access to the data through SPARQL, a conventional query mechanism for RDF data.
- 14. Apache S2Graph Apache S2Graph https://s2graph.apache.org/ About Apache S2Graph is a graph database designed to handle transactional graph processing at scale. Its REST API allows you to store, manage and query relational information using edge and vertex representations in a fully asynchronous and non-blocking manner.
- 15. ArangoDB ArangoDB https://www.arangodb.com/ About ArangoDB is a native multi-model database system developed by ArangoDB Inc. The database system supports three data models with one database core and a unified query language AQL. The query language is declarative and allows the combination of different data access patterns in a single query.
- 16. Arc2 Arc2 https://github.com/semsol/arc2 About ARC is a flexible RDF database for semantic web and PHP practitioners. It's free, open-source, easy to use, and runs in most web server environments (it's PHP 5.3 E_STRICT-compliant).
- 17. Azure Cosmos DB Azure Cosmos DB https://azure.microsoft.com/services/co smos-db/ About Azure Cosmos DB is the globally distributed, multi-model database service from Microsoft for mission-critical applications. It is a multi-model database and supports document, key-value, graph, and columnar data models. The Azure Cosmos DB Gremlin API is used to store and operate on graph data. Gremlin API supports modeling Graph data and provides APIs to traverse through the graph data.
- 18. BadWolf BadWolf https://google.github.io/badwolf/ About BadWolf is a temporal graph store loosely modeled after the concepts introduced by the Resource Description Framework (RDF). It presents a flexible storage abstraction, efficient query language, and data-interchange model for representing a directed graph that accommodates the storage and linking of arbitrary objects without the need for a rigid schema.
- 19. Bitsy Bitsy https://github.com/lambdazen/bitsy/wik i About Bitsy is a embeddable in-memory graph database that is compatible with Tinkerpop3. It is based on these design principles: "No seek" (avoid disk seeks to maximize write throughput), "No socket" (embed within the application to reduce network/OS delays) and "No SQL" (leverage graph traversals for faster queries).
- 20. Blazegraph Blazegraph https://www.blazegraph.com/ About Blazegraph is an ultra-scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs. It supports up to 50 Billion edges on a single machine. It is in production use for Fortune 500 customers such as EMC, Autodesk, and many others. It was selected by the Wikimedia foundation to power their wikidata query service.
- 21. BrightstarDB BrightstarDB https://www.blazegraph.com/ About BrightstarDB is a native .NET RDF triple store. It uses dotNetRDF to provide support for a wide range of RDF syntaxes as well as SPARQL query support. In addition to providing a raw RDF-based API, BrightstarDB also provides support for binding RDF resources to .NET dynamic objects; and a contract-first entity framework that enables the use of LINQ rather than SPARQL for query purposes.
- 22. Cayley Cayley https://cayley.io/ About Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. It is built with RDF support, including multiple linked data formats such as NQuads and JSON-LD. Cayley works on top of your existing database regardless of data model: SQL, NoSQL or even KV and support multiple query languages Gizmo (Gremlin dialect), MQL and GraphQL dialect.
- 23. ChronoGraph ChronoGraph https://cayley.io/ About ChronoGraph is one of the major components of Chronos. It is a versioned graph database and an official implementation of the Apache TinkerPop AP. As with all Chronos Components, ChronoGraph is written in 100% pure Java and should run in any environment supported by JRE 1.8 or later.
- 24. Cray Graph Engine Cray Graph Engine https://www.cray.com/products/analytic s/cray-graph-engine About The Cray Graph Engine (CGE) is a semantic database using Resource Description Framework (RDF) triples to represent the data, SPARQL as the query language and extensions to support mathematical algorithms. CGE is a highly optimized software application designed by high-speed processing of interconnected data. It features an advanced platform for searching very large, graph-oriented databases and querying for complex relationships between data items in the database.
- 25. DataStax Enterprise Graph DataStax Enterprise Graph https://www.datastax.com/products/dat astax-enterprise-graph About DSE Graph is an add-on to DataStax Enterprise that enables enterprises to identify and analyze hidden relationships between connected data to build powerful applications for fraud detection, customer 360, social networks, and real-time recommendations. Datastax Enterprise is the commercial distribution of Apache Cassandra, a column-family NoSQL database Datastax is Linkurious partner - more information
- 26. DegDB DegDB https://github.com/degdb/degdb About The Distributed Economic Graph Database is a graph database management system where every request has either a debit (with attached bitcoin) or a credit (with bitcoin promised on delivery) payment system. The DBMS's server nodes estimate how much it will cost to serve the data; if there is not enough bitcoin attached to service the request, then the node will drop the request.
- 27. Dgraph Dgraph https://dgraph.io/ About Dgraph 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.
- 28. DuctileDB DuctileDB https://ductiledb.com/home About DuctileDB is a graph database inspired by Titan and Neo4j. Combining Titan's large graph storage idea based on HBase and the rich features by Neo4j, DuctileDB goes to be an alternative graph database for very large graphs.
- 29. Dydra Dydra https://dydra.com/ About Dydra is a cloud-based graph database. It is the result of years of research and development in distributed semantic data technologies and represents a next generation, adaptive API and data management framework built from the ground up to integrate and deliver value from advances in ML and AI.
- 30. FaunaDB FaunaDB https://fauna.com/faunadb About FaunaDB combines the enterprise capabilities of relational databases with scale and flexibility of non-relational systems. Featuring multi-region strong consistency, relational modeling, schema flexibility, and unlimited horizontal scale, FaunaDB is purpose-built for today's cloud-based OLTP apps.
- 31. FlockDB FlockDB https://github.com/twitter-archive/flockd b About FlockDB is a distributed graph database for storing adjancency lists, with goals of supporting. 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. Twitter is no longer maintaining this project or responding to issues or PRs.
- 32. FlureeDB FlureeDB https://github.com/twitter-archive/flockd b About FlureeDB is a database purpose-built to fit the requirements of modern enterprise applications, while providing blockchain capabilities for data security, workflow efficiency, and industry interoperability.
- 33. Gaffer Gaffer https://github.com/gchq/Gaffer About Gaffer 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.
- 34. Grakn Grakn https://github.com/gchq/Gaffer About Grakn is the knowledge graph engine to organise complex networks of data and making it queryable, by performing knowledge engineering. Rooted in Knowledge Representation and Automated Reasoning, Grakn provides the knowledge foundation for cognitive and intelligent (e.g. AI) systems, by providing an intelligent language for modelling, transactions and analytics. Being a distributed database, Grakn is designed to scale over a network of computers through partitioning and replication.
- 35. GraphBase https://graphbase.ai/ About GraphBase makes massive, highly-structured data stores possible because it was built from scratch to manage large graphs and not tacked on top of an RDBMS, OODBMS or other early technology. It dramatically simplifies working with graph-structured data because it's the only database that lets you think about graphs - by using graphs. And it comes with query functionality designed for graphs. GraphBase
- 36. GraphBase https://www.ontotext.com/products/gra phdb/ About GraphDB is an enterprise ready Semantic Graph Database, compliant with W3C Standards. Semantic graph databases (also called RDF triplestores) provide the core infrastructure for solutions where modelling agility, data integration, relationship exploration and cross-enterprise data publishing and consumption are important. GraphBase
- 37. Graph Engine Service https://www.huaweicloud.com/en-us/pr oduct/ges.html About Graph Engine Service (GES) provides distributed, at-scale, and integrated graph search and analysis capabilities. Its high-performance kernel supports high-concurrency, multi-hop, real-time queries. GES has extensive built-in algorithm libraries and applies to social networking, precision marketing, credit insurance, and network and path planning. Graph Engine Service
- 38. gStore https://github.com/pkumod/gStore About Gstore System is a graph database engine for managing large graph-structured data, which is open-source and targets at Linux operation systems. The whole project is written in C++, with the help of some libraries such as readline, antlr, and so on. Only source tarballs are provided currently, which means you have to compile the source code if you want to use our system. gStore
- 39. Halyard https://github.com/pkumod/gStore About Halyard is an extremely horizontally scalable triple store with support for named graphs, designed for integration of extremely large semantic data models and for storage and SPARQL 1.1 querying of complete Linked Data universe snapshots. Halyard implementation is based on Eclipse RDF4J framework and Apache HBase database, and it is completely written in Java. Halyard
- 40. Halyard https://merck.github.io/Halyard/ About Halyard is an extremely horizontally scalable triple store with support for named graphs, designed for integration of extremely large semantic data models and for storage and SPARQL 1.1 querying of complete Linked Data universe snapshots. Halyard implementation is based on Eclipse RDF4J framework and Apache HBase database, and it is completely written in Java. Halyard
- 42. HugeGraph https://github.com/hugegraph/hugegrap h About HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin(a powerful graph traversal language). HugeGraph
- 43. HyperGraphDB http://www.hypergraphdb.org/ About 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, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database. HyperGraphDB
- 44. IBM DB2-RDF http://www.hypergraphdb.org/ About On IBM DB2-RDF support is called "NoSQL Graph Support". The DB2-RDF functionality is being released with DB2 LUW 10.1, it is also compatible with DB2 9.7. While RDBMS implementations of RDF graphs have typically been non-performant, that is not the case here. Some very impressive and innovative work has been put into optimization capabilities. Out-of-the box performance is comparable with native triple stores, and read/write performance in the optimized schema has been seen to surpass these speeds. IBM DB2-RDF
- 45. InfiniteGraph https://www.objectivity.com/products/in finitegraph/ About InfiniteGraph is a highly specialized graph database. Its functionality is being migrated into ThingSpan. However, Objectivity will continue to support licensed users and will recommend it to Java developers who wish to use graph analytics outside of a Spark environment. Specific features, such as pathfinding, have been merged into the underlying database - Objectivity/DB. InfiniteGraph
- 46. InfoGrid https://infogrid.org/ About InfoGrid is an open-source internet graph database with REST-ful web frontend. Represents information as nodes and edges which may be dynamically typed according to freely definable conceptual models. Can dynamically include and keep up-to-date externally-managed information “as-if” it was native to InfoGrid. InfoGrid
- 47. JanusGraph http://janusgraph.org/ About JanusGraph 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. JanusGraph is Linkurious partner - more information JanusGraph
- 48. KiWi Triplestore https://marmotta.apache.org/kiwi/index. html About The KiWi triple store is a high performance transactional triple store backend for OpenRDF Sesame building on top of a relational database (currently H2, PostgreSQL, or MySQL). It has optional support for rule-based reasoning (sKWRL) and versioning of updates. The KiWi triple store is also the default backend for Apache Marmotta. It originated in the EU-funded research project “KiWi - Knowledge in a Wiki” (hence the name). KiWi Triplestore
- 49. LemonGraph https://github.com/NationalSecurityAge ncy/lemongraph About LemonGraph is a log-based transactional graph (nodes/edges/properties) database engine that is backed by a single file. LemonGraph
- 50. MariaDB https://mariadb.com/kb/en/library/oqgr aph-storage-engine/ About The Open Query GRAPH computation engine, or OQGRAPH as the engine itself is called, allows you to handle hierarchies (tree structures) and complex graphs (nodes having many connections in several directions). MariaDB
- 51. MarkLogic https://www.marklogic.com/product/ma rklogic-database-overview/database-feat ures/semantics/ About As a multi-model database, MarkLogic combines the benefits of a document store and an RDF Triple Store. This approach is ideal for integrating and accessing all of your data. JSON and XML documents provide incredible flexibility for modeling entities, while RDF triples — the data format for semantic graph data — are ideal for storing relationships. MarkLogic
- 52. Memgraph https://memgraph.com/product/ About Memgraph is an in-memory graph database technology. It is presented as the next evolution in graph databases, built from the ground up to deliver real‑time insights across your enterprise connected data. Memgraph
- 53. Microsoft SQL Server https://docs.microsoft.com/en-us/sql/re lational-databases/graphs/sql-graph-arc hitecture About With the release of SQL Server 2017, Microsoft added support for graph databases to better handle data sets that contain complex entity relationships, such as the type of data generated by a social media site, where you can have a mix of many-to-many relationships that change frequently. Microsoft SQL Server is a relational database management system developed by Microsoft Microsoft SQL Server
- 54. Mulgara https://docs.microsoft.com/en-us/sql/re lational-databases/graphs/sql-graph-arc hitecture About Mulgara is a fast RDF database written entirely in Java. Mulgara
- 55. Neo4j https://neo4j.com/ About Neo4j is a graph database management system developed by Neo4j, Inc. Described by its developers as an ACID-compliant transactional database with native graph storage and processing, Neo4j is the most popular graph database according to DB-Engines ranking, and the 22ⁿᵈ most popular database overall. Neo4j is Linkurious partner - more information Neo4j
- 56. NitrosBase http://nitrosbase.com/ About NitrosBase is a high-performance multi-model database system. The database system supports relational, graph and document database models. NitrosBase
- 57. OpenCog AtomSpace https://github.com/opencog/atomspace About 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. OpenCog AtomSpace
- 58. Oracle Spatial and Graph https://www.oracle.com/technetwork/da tabase/options/spatialandgraph/overvie w/index.html About Oracle Spatial and Graph includes high performance, enterprise-scale, commercial spatial and graph database and analytics for Oracle Database 18c, in the cloud and on premises. It supports enterprise business, business intelligence, large-scale Geographic Information Systems, and location services applications. Oracle Spatial and Graph
- 59. OrientDB https://orientdb.com/why-orientdb/ About OrientDB is an open source NoSQL database management system written in Java. It is a multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records. OrientDB
- 60. Parliament http://parliament.semwebcentral.org/ About Parliament™ is a high-performance triple store designed for the Semantic Web. Parliament was originally developed under the name DAML DB and was extended by BBN Technologies for internal use in its R&D programs. Parliament was released as an open source project under the BSD license here on SemWebCentral in June, 2009. Parliament
- 61. Pointrel System https://sourceforge.net/projects/pointrel / About The Pointrel System is an RDF-like triple store implemented on the Java/JVM platform, supporting related social semantic desktop applications to create, use, exchange, and organize informational resources for a reasonably joyful and secure world. Pointrel System
- 62. Profium Sense https://www.profium.com/en/technologi es/ About Profium Sense is an in-memory NoSQL graph database, which provides native support for RDF and OWL2 RL level of reasoning support. Profium Sense rule engine has a patented forward-chaining algorithm optimized for frequent updates. Profium Sense has a graphical ontology editor and a related API for making ontology changes at runtime without requiring a system restart. Profium Sense
- 63. RDF4J http://rdf4j.org/rdf4j-databases/ About The RDF4J Native Store is a transactional RDF database using direct disk IO for persistence. It is a more scalable solution than the memory store, with a smaller memory footprint, and also offers better consistency and durability. It is currently aimed at medium-sized datasets in the order of 100 million triples. RDF4J
- 64. RDFBroker http://rdfbroker.opendfki.de/ About RDFBroker is an RDF store that uses a natural mapping of RDF resources to database tables that does not rely on RDF Schema, but constructs a schema based on the occurring signatures, where a signature is the set of properties used on a resource. It can be used for both in-memory and normal (on-disk) relational database-based RDF store implementations, and also distributed RDF stores (with distributed query handling) benefit from it. RDFBroker
- 65. RedisGraph https://oss.redislabs.com/redisgraph/ About RedisGraph is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph. It’s based on the Property Graph Model. RedisGraph
- 66. RedStore https://www.aelius.com/njh/redstore/ About RedStore is a lightweight RDF triplestore written in C using the Redland library. It has a HTTP interface and supports the following W3C standards: Built-in HTTP server; Mac OS X app available; Supports a wide range of RDF formats; Only runtime dependancy is Redland ; Compatible with rdfproc command line tool for offline operations; Unit and integration test suite. RedStore
- 67. SAP Hana Graph Engine https://blogs.sap.com/2016/08/01/what -s-new-in-sap-hana-sps12-sap-hana-grap h-engine/ About SAP HANA Graph is an integral part of SAP HANA core functionality. It expands the SAP HANA platform with native support for graph processing and allows executing typical graph operations on the data stored in an SAP HANA system. SAP HANA is an in-memory, column-oriented, relational database management system developed and marketed by SAP SE. SAP Hana Graph Engine
- 68. Ruruki https://github.com/optiver/ruruki About Ruruki is a in-memory directed property graph database tool used for building complicated graphs of anything. It is useful for temporary lightweight graph database. You can install it in a python virtual environment and be up and running in no time. Ruruki
- 69. SimpleGraph https://github.com/enterlab/simplegraph About SimpleGraph is really Simple, rudimentary Graph (in-memory) DB implemented in Java. Can be used as an application cache storage, and is really fast mainly meant for people that want to find out how a graph database works, by looking at code instead of reading books. The SimpleGraph is implemented as a TripleStore, containing tuples (well, actually triples) of Subject, Object and Predicate. SimpleGraph
- 70. Sparksee http://www.sparsity-technologies.com/ About Sparksee (formerly known as DEX) is a high-performance and scalable graph database management system written in C++. It is natively available for .Net, C++, Python, Objective-C and Java, and covers the whole spectrum of Operating Systems. Sparksee
- 71. Stardog https://www.stardog.com/ About Stardog is a RDF database. Stardog’s Knowledge Graph platform enables fast and flexible data unification so you can query, analyze, and uncover hidden insights. Stardog is Linkurious certified partner - more information Stardog
- 72. Steffi http://steffi.io/ About STEFFI is a distributed graph database fully in-memory and amazingly fast when it comes to querying large datasets. It provides its users with a clear competitive advantage when it comes to complicated traversal operations on large datasets. Steffi
- 73. Strabon http://www.strabon.di.uoa.gr/ About Strabon is a spatiotemporal RDF store. You can use it to store linked geospatial data that changes over time and pose queries using two popular extensions of SPARQL. Strabon supports spatial datatypes enabling the serialization of geometric objects in OGC standards WKT and GML Strabon
- 74. TIBCO(R) Graph Database https://www.tibco.com/products/tibco-g raph-database About TIBCO Graph Database is a translytical database that transforms a complex web of dynamic data into meaningful, comprehensible and traversable relationships delivered at the speed of transactions. TIBCO(R) Graph Database
- 75. TigerGraph https://www.tigergraph.com/ About Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. TigerGraph
- 76. TinkerGraph https://tinkerpop.apache.org/docs/curre nt/reference/#tinkergraph-gremlin About TinkerGraph is a single machine, in-memory (with optional persistence), non-transactional graph engine that provides both OLTP and OLAP functionality. It is deployed with TinkerPop and serves as the reference implementation for other providers to study in order to understand the semantics of the various methods of the TinkerPop API. TinkerGraph
- 77. Titan http://titan.thinkaurelius.com/ About Titan 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 in real time. Titan
- 78. VelocityDB https://velocitydb.com/VelocityGraph.as px About VelocityGraph is an open source C# .NET hybrid NoSQL Graph Database and Object Database that can be Embedded/Distributed. VelocityDB
- 79. Virtuoso https://virtuoso.openlinksw.com/ About Virtuoso is a modern enterprise-grade solution for data access, virtualization, integration and multi-model relational database management (SQL Tables and/or RDF Statement Graphs). Virtuoso
- 80. Weaver http://weaver.systems/ About Weaver is a distributed graph store that provides horizontal scalability, high-performance, and strong consistency. Weaver enables users to execute transactional graph updates and queries through a simple python API. Weaver
- 81. WhiteDB http://whitedb.org/index.html About WhiteDB is a lightweight NoSQL database library written in C, operating fully in main memory. There is no server process. Data is read and written directly from/to shared memory, no sockets are used between WhiteDB and the application program. WhiteDB