About
GraphBase is a Graph Database Management System (Graph DBMS) engineered to simplify the creation and maintenance of complex data graphs. Complex and highly-connected structures are a challenge for the Relational Database Management System (RDBMS). A graph database provides much better modelling utility, performance and scalability. The current crop of graph database products - the triplestores and property graphs - have been around for nearly two decades. They're powerful tools, they have many uses, but they're still not suited to the management of complex data structures. With GraphBase, our goal was to simplify the management of complex data structures, so that your data could become something more. It could become Knowledge. We achieved this by redefining how graph data should be managed. In GraphBase, the graph is a first-class citizen. You get a graph equivalent of the "rows and tables" paradigm that makes a Relational Database so easy to use.
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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 is a storage framework based on generalized hypergraphs as its underlying data model. The unit of storage is a tuple made up of 0 or more other tuples. Each such tuple is called an atom. One could think of the data model as relational where higher-order, n-ary relationships are allowed or as graph-oriented where edges can point to an arbitrary set of nodes and other edges. Each atom has an arbitrary, strongly-typed value associated with it. The type system managing those values is embedded as a hypergraph and customizable from the ground up.
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About
JanusGraph 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. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration.
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About
Explore and Document MySQL and MariaDB Databases.
dbForge Documenter for MySQL is a valuable tool for MySQL and MariaDB databases that helps automatically generate documentation of an entire database in HTML, PDF, and MARKDOWN file formats. A wealth of options allow users to fine-tune the created documentation.
* Accelerate routine tasks with integrated AI Assistant
* Create MySQL documentation in several file formats automatically
* Tailor the documentation to your needs with outstanding built-in options
* Waste no time manually creating documentation and boost your efficiency
* Adjust the layout of documentation with various themes for ease of reading
* Gain an accurate picture of your database objects and their properties
* Analyze inter-object dependencies and DDL code in a convenient interface
* Find required database objects in the documentation as you start typing
* Add and modify the description of database objects as you see appropriate
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies and developers interested in a graph database management system solution optimize the creation and maintenance of complex data graphs
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Audience
Anyone who needs an open-source data storage framework based on generalized hypergraphs
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Audience
Anyone that stores and uses query graphs looking for a Graph Database solution
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Audience
Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
69.95 $
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFactNexus
Founded: 2010
Australia
graphbase.ai/
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Company InformationKobrix Software
Founded: 2015
United States
hypergraphdb.org
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Company InformationJanusGraph
Founded: 2016
United States
janusgraph.org
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com/dbforge/mysql/documenter/
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Categories |
Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
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Integrations
Apache Atlas
Apache Cassandra
Apache HBase
Apache Solr
Apache Spark
Elasticsearch
G.V() Gremlin IDE
Google Cloud Bigtable
Graphlytic
Hackolade
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Integrations
Apache Atlas
Apache Cassandra
Apache HBase
Apache Solr
Apache Spark
Elasticsearch
G.V() Gremlin IDE
Google Cloud Bigtable
Graphlytic
Hackolade
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Integrations
Apache Atlas
Apache Cassandra
Apache HBase
Apache Solr
Apache Spark
Elasticsearch
G.V() Gremlin IDE
Google Cloud Bigtable
Graphlytic
Hackolade
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Integrations
Apache Atlas
Apache Cassandra
Apache HBase
Apache Solr
Apache Spark
Elasticsearch
G.V() Gremlin IDE
Google Cloud Bigtable
Graphlytic
Hackolade
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