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Explore all Graph Database open source software, libraries, packages, source code, cloud functions and APIs.

Popular New Releases in Graph Database

0.6.1

TypeDB 2.8.1

Grakn Core 2.0.2

v2.8.11

4.4.0.3

janusgraph

0.6.1

typedb

TypeDB 2.8.1

grakn

Grakn Core 2.0.2

RedisGraph

v2.8.11

neo4j-apoc-procedures

4.4.0.3

Popular Libraries in Graph Database

Trending New libraries in Graph Database

Top Authors in Graph Database

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1

17 Libraries

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Trending Kits in Graph Database

javascript-graph-database

10 best JavaScript Graph Database

JavaScript Graph Database libraries are a new platform for building real-time data applications. The most common use case is to build an application that displays social graphs, such as Facebook, Twitter and LinkedIn. A JavaScript graph database library is a library that allows you to store and query a graph structure. These are useful for many applications, including social network sites and games. FortuneJS is a simple, lightweight GraphQL server with built-in clustering capabilities. FortuneJS uses MongoDB as its storage layer. LevelGraph is a JavaScript library for querying graph databases using SPARQL and JSON-LD. LevelGraph has a number of different backends including Neo4j, OrientDB, RethinkDB and MongoDB. Graphexp is an open-source JavaScript library for creating and querying graphs using Gremlin-style traversal expressions. Graphexp supports Neo4j and OrientDB as backend databases. A few of the most popular open source JavaScript Graph Database libraries for developers are:

java-graph-database

13 best Java Graph Database

Java Graph databases libraries are a relatively new database technology that has been gaining popularity in the last couple of years. They are especially useful for storing and querying relationships between entities. They have certain advantages over traditional relational databases, such as their ability to quickly traverse large graphs and answer complex queries with low latency. Neo4j is the most popular and mature option. It has all the basic features you need to get started, including support for multiple indexes, relationships and queries. It also offers a REST API that allows you to query your data from the browser or a client application. OrientDB is a newer alternative that offers an object-relational mapping (ORM) layer on top of its native graph database engine for easier integration with existing applications. This approach makes it easier to migrate from relational databases like MySQL or PostgreSQL into OrientDB, but it also means that some features may be missing from the graph database layer itself (for example, there's no support for transactions). Titan has a similar ORM layer as OrientDB but also supports advanced features such as transactional queries and automatic sharding across multiple nodes in a cluster. Some of the most widely used open source Java Graph databases libraries among developers include:

csharp-graph-database

6 best C# Graph Database

C# Graph databases are becoming more popular, and with good reason. They can be faster than relational databases for certain use cases, and they can be easier to use for certain others. There are a number of different graph database libraries for C# developers. GraphView is a C# library for manipulation of graph data using the property graph model. It supports both directed and undirected graphs, and provides functionality such as adding and removing nodes and edges, preserving topological order, finding shortest paths through the graph, querying for subgraphs or nodes within a given area, etc. sones is a C# library to handle the SQLite3 Database File format (which is in fact just a plaintext file). Provides basic SQLite3 support (insert/update/delete) as well as full text search capabilities. fallen-8 is a library which aims to provide a simple interface to the Neo4j REST API which allows you to store, retrieve, update and delete any type of object from your Neo4j server. The syntax is based on LINQ so it should be familiar to most C# developers who want to use Neo4j in their projects. There are several popular open source C# Graph databases libraries available for developers:

go-graph-database

8 best Go Graph Database

Gogrpah is a graph library for Go that allows you to create and query graphs in your application. The Go database libraries are no exception. You can use the database libraries in your application to access data from different databases like MySQL, PostgreSQL, MongoDB etc. Dgraph is an open source, distributed graph database written in Go. Dgraph is a scalable, distributed, fault tolerant, native graph database. It's built from the ground up for efficiency and performance. Cayley is an open-source graph database developed by Facebook. Cayley uses an expressive query language that enables developers to express complex queries with ease. Simple-Graph is a simple graph database implemented with Go's testing package. It's designed to be simple, fast, and reliable, which makes it easy to deploy at scale.Eliasdb is a pure-Go embedded key/value store with JSON documents, indexes and queries. It is an open source distributed graph database that stores data in native binary format instead of JSON or BSON files like other solutions do today. Many developers depend on the following open source Go Graph Database libraries:

cpp-graph-database

9 best C++ Graph Database

C++ Graph Database libraries are used to build graph databases. They provide the functionality needed to create, query and update graphs in a database. The use of C++ graph database libraries is a great way to build complex data-centric applications. The combination of a graph database and the powerful C++ language provides an excellent framework for building highly concurrent and scalable applications. C++ Graph Database libraries like nebula, SFrame, NGT are the way to go for creating large-scale graph databases. They provide efficient ways of storing and querying large amounts of data. These libraries provide an excellent platform to build distributed graph database systems. Nebula is a modern C++ graph database with SQL support and an open source alternative to Neo4j. It’s an easy-to-use library that makes it easy for developers to store and query graphs in their applications without having to worry about schema design or why they would want to use a graph database in their application. SFrame is a Apache Spark-based library for building distributed graph-oriented workloads on top of Apache Spark clusters. SFrame provides utility methods for loading and storing graphs in form of DataFrames, which can then be manipulated using SQL queries or any other Spark APIs such as functional transformations or machine learning algorithms. Popular open source C++ Graph Database libraries include:

java-graph-database

13 best Java Graph Database

Java Graph databases libraries are a relatively new database technology that has been gaining popularity in the last couple of years. They are especially useful for storing and querying relationships between entities. They have certain advantages over traditional relational databases, such as their ability to quickly traverse large graphs and answer complex queries with low latency. Neo4j is the most popular and mature option. It has all the basic features you need to get started, including support for multiple indexes, relationships and queries. It also offers a REST API that allows you to query your data from the browser or a client application. OrientDB is a newer alternative that offers an object-relational mapping (ORM) layer on top of its native graph database engine for easier integration with existing applications. This approach makes it easier to migrate from relational databases like MySQL or PostgreSQL into OrientDB, but it also means that some features may be missing from the graph database layer itself (for example, there's no support for transactions). Titan has a similar ORM layer as OrientDB but also supports advanced features such as transactional queries and automatic sharding across multiple nodes in a cluster. Some of the most widely used open source Java Graph databases libraries among developers include:

cpp-graph-database

9 best C++ Graph Database

C++ Graph Database libraries are used to build graph databases. They provide the functionality needed to create, query and update graphs in a database. The use of C++ graph database libraries is a great way to build complex data-centric applications. The combination of a graph database and the powerful C++ language provides an excellent framework for building highly concurrent and scalable applications. C++ Graph Database libraries like nebula, SFrame, NGT are the way to go for creating large-scale graph databases. They provide efficient ways of storing and querying large amounts of data. These libraries provide an excellent platform to build distributed graph database systems. Nebula is a modern C++ graph database with SQL support and an open source alternative to Neo4j. It’s an easy-to-use library that makes it easy for developers to store and query graphs in their applications without having to worry about schema design or why they would want to use a graph database in their application. SFrame is a Apache Spark-based library for building distributed graph-oriented workloads on top of Apache Spark clusters. SFrame provides utility methods for loading and storing graphs in form of DataFrames, which can then be manipulated using SQL queries or any other Spark APIs such as functional transformations or machine learning algorithms. Popular open source C++ Graph Database libraries include:

Trending Discussions on Graph Database

    Can I create a knowledge graph in Memgraph?
    Using a graph database to store and retrieve sorted users by personality scores
    idiomatic way to atomically create a table that as a record that is associated to other tables
    Gremlin query language - how to limit/filter path or start from specific verticle in chain?
    SQL Graph Database VS Cosmos Gremlin graph DB
    AWS Neptune performance / Comparing to Neo4j AuraDB
    @Async method inside synchronized method Java
    NEO4J find records that not exist in other pattern result
    Check if Neighbors have subset of connected nodes
    Cytoscape Integration with Neo4j

QUESTION

Can I create a knowledge graph in Memgraph?

Asked 2022-Mar-28 at 11:17

I know that knowledge graphs are represented in RDF, but I am wondering whether Memgraph as a graph database can store this kind of data?

ANSWER

Answered 2022-Mar-28 at 11:17

While Memgraph is not an RDF store, it is capable of handling this kind of data with the labeled property graph model (LPG). LPG is represented by a set of nodes, relationships, properties (key-value attributes) and labels. RDF statements can be directly treated as nodes, relationships and properties of the graph, which are explored using the Cypher query language. Therefore, both RDF and LPG allow the creation of a knowledge graph.

Source https://stackoverflow.com/questions/71644714

Community Discussions contain sources that include Stack Exchange Network

    Can I create a knowledge graph in Memgraph?
    Using a graph database to store and retrieve sorted users by personality scores
    idiomatic way to atomically create a table that as a record that is associated to other tables
    Gremlin query language - how to limit/filter path or start from specific verticle in chain?
    SQL Graph Database VS Cosmos Gremlin graph DB
    AWS Neptune performance / Comparing to Neo4j AuraDB
    @Async method inside synchronized method Java
    NEO4J find records that not exist in other pattern result
    Check if Neighbors have subset of connected nodes
    Cytoscape Integration with Neo4j

QUESTION

Can I create a knowledge graph in Memgraph?

Asked 2022-Mar-28 at 11:17

I know that knowledge graphs are represented in RDF, but I am wondering whether Memgraph as a graph database can store this kind of data?

ANSWER

Answered 2022-Mar-28 at 11:17

While Memgraph is not an RDF store, it is capable of handling this kind of data with the labeled property graph model (LPG). LPG is represented by a set of nodes, relationships, properties (key-value attributes) and labels. RDF statements can be directly treated as nodes, relationships and properties of the graph, which are explored using the Cypher query language. Therefore, both RDF and LPG allow the creation of a knowledge graph.

Source https://stackoverflow.com/questions/71644714

Community Discussions contain sources that include Stack Exchange Network

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