The post Ontotext GraphDB on DBpedia appeared first on DBpedia Association.
]]>by Milen Yankulov from Ontotext
GraphDB is a family of highly efficient, robust, and scalable RDF databases. It streamlines the load and use of linked data cloud datasets, as well as your own resources. For easy use and compatibility with the industry standards, GraphDB implements the RDF4J framework interfaces, the W3C SPARQL Protocol specification, and supports all RDF serialization formats. The database offers open source API and it is the preferred choice of both small independent developers and big enterprise organizations because of its community and commercial support, as well as excellent enterprise features such as cluster support and integration with external high-performance search applications – Lucene, Solr, and Elasticsearch. GraphDB is build 100% on Java in order to be OS Platform independent.
GraphDB is one of the few triplestores that can perform semantic inferencing at scale, allowing users to derive new semantic facts from existing facts. It handles massive loads, queries, and inferencing in real-time.
Workbench is the GraphDB web-based administration tool. The user interface is similar to the RDF4J Workbench Web Application, but with more functionality.
The GraphDB Workbench REST API can be used for managing locations and repositories programmatically, as well as managing a GraphDB cluster. It includes connecting to remote GraphDB instances (locations), activating a location, and different ways for creating a repository.
It includes also connecting workers to masters, connecting masters to each other, as well monitoring the state of a cluster.
GraphDB enables Knowledge Graph access and updates via GraphQL. GraphDB is extended to support the efficient processing of GraphQL queries and mutations to avoid the N+1 translation of nested objects to SPARQL queries.
Free – commercial, file-based, sameAs & query optimizations, scales to tens of billions of RDF statements on a single server with a limit of two concurrent queries.
Standard Edition (SE) – commercial, file-based, sameAs & query optimizations, scales to tens of billions of RDF statements on a single server and an unlimited number of concurrent queries.
Enterprise Edition (EE) – high-availability cluster with worker and master database implementation for resilience and high-performance parallel query answering.
GraphDB offers you a high-performance cluster proven to scale in production environments. It supports
Improved resilience
failover, dynamic configuration
Improved query bandwidth
larger cluster means more queries per unit time
Deployable across multiple data centres
Elastic scaling in cloud environments
Integration with search engines
It supports
(1) automatic cluster reconfiguration in the event of failure of one or more worker nodes,
(2) a smart client supporting multiple endpoints.
GraphDB is 100% Java based in order to be Platform Independent. It is available through Native Installation Packages or Open Maven. It supports also Puppet and could be Dockerized. GraphDB is Cloud agnostic – It could be deployd on AWS, Azure, Google Cloud, etc.
Based on the Edition you are using you could use the Community Support (StackOverFlow monitoring)
Ontotext has its Dedicated Support Team tha could assist through Customized Runbooks, Easy Slack communication, Jira Issue-Tracking System
A big thank you to Ontotext for providing some insights into their product and database.
Yours,
DBpedia Association
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