Name: GraphDB
Rating: 5 (1 reviews)
Author: Ontotext

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Feature Management

Product Analytics

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Contract Analysis

Emissions Management

Payment Facilitation

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CTRM

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Managed Public Cloud Infrastructure

Migration

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Software Composition Analysis (SCA)

Time Series Databases

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A/B Testing

Ad Serving & Retargeting

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Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Project Management

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Professional Services

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Lead Generation

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Sales Incentive Compensation Management

Sales Performance Management

eCommerce Analytics

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Cloud Infrastructure Entitlement Management

Intrusion Detection

Security

Aviation

Banking

Geographic Information

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Physical Therapy

Vertical-Specific

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### Data Management
Users consistently praise GraphDB's interconnected data management capabilities. They appreciate the tool's ability to manage interconnected data efficiently and establish relationships effectively. However, some users have raised concerns about certain limitations, such as the versioning of data and the need for better control over roles and rights within the system. Despite these drawbacks, GraphDB remains a popular choice for organizations looking to store, organize, and manage content in a semantic and interconnected manner.

### Query Performance
Users consistently highlight GraphDB's query performance as a standout feature, praising its speed and efficiency in solving queries. Despite some concerns about speed fluctuations after updates, the general consensus is that GraphDB excels in delivering fast and reliable query results. The ease of query building and the tool's ability to handle complex reasoning tasks efficiently are also commended by users. Additionally, the platform's support for various exchange formats and integration with tools like OpenRefine contribute to its overall positive reputation in terms of query performance.

### Performance Optimization
Users generally agree that GraphDB's performance optimization capabilities are a standout feature. The tool is praised for its speed and efficiency in handling queries, significantly improving work processes and saving time for organizations. Despite some minor issues with query speed drops after updates, GraphDB's performance optimization remains a strong point for users, especially in comparison to other tools they have used in the past. The ability to manipulate repositories through the webservice API and the ease of installation further enhance the overall positive sentiment towards GraphDB's performance optimization functionalities.

### User Interface
Users appreciate the ease of use and appealing design of GraphDB's user interface. They find it helpful in navigating the software and leveraging its functionalities effectively. The positive feedback indicates that the user interface plays a significant role in enhancing the overall user experience with GraphDB.

### Visualization and Modeling
While some users find GraphDB's visualization capabilities to be a strong point, there are suggestions for enhancing the modeling features to meet more advanced requirements. The ease of deploying GraphDB and its ability to quickly ingest RDF data, build queries, and visualize relationships are highlighted as key advantages. Users appreciate the simplicity of generating queries in an IDE-like environment and the compliance with various exchange format standards, which facilitate the overall user experience. Despite some limitations in supporting specific reasoning and modeling approaches, GraphDB is generally praised for its efficient visualization and modeling functionalities.

### Free Version Features
Users generally praise the functionality of GraphDB's free version features, highlighting its ease of use, inferencing implementation, and support for transforming relational data into RDF. While the free version offers good support and satisfactory query performance, some users have noted limitations such as the restriction on simultaneous queries to only two. Additionally, users appreciate features like SPARQL support, ease of setup, and the webservice API. However, there are concerns raised about the OntoRefine tool's lack of support for reading from relational databases and the absence of a natural language parser for entity and relationship discovery. Despite these drawbacks, the free version of GraphDB seems to offer valuable functionality for users seeking a semantic web stack solution.

GraphDB, developed by Ontotext, is an advanced RDF database designed to seamlessly link diverse data, index it for semantic search, and enrich it through text analysis to build large-scale knowledge graphs. According to the vendor, GraphDB is versatile and scalable, making it suitable for organizations of various sizes. It is used by data scientists, knowledge engineers, information architects, research institutions, and government agencies.

## Key Features

**Best RDF database**: According to the vendor, GraphDB is recognized as a top RDF database, providing compliance with industry standards such as RDF 1.1 and SPARQL 1.1, along with RDF-Star and SPARQL-Star extensions. It supports standard reasoning rulesets like RDFS, OWL 2 RL, and QL, allowing users to perform custom reasoning and consistency checks.

**Highly performant reasoning and query engine**: The vendor claims that GraphDB offers a highly efficient reasoning and query engine, enabling simultaneous load, query, and inference operations. Its forward-chaining reasoning feature is said to ensure fast reasoning and efficient retraction of inferred statements upon update.

**Deploy anywhere with ease**: According to the vendor, GraphDB can be easily deployed using Java and offers flexibility in terms of deployment options, allowing organizations to choose the environment that suits their needs.

**Additional functionalities provided by plugins**: GraphDB provides a plugin API for engine extensions, enabling users to enhance its functionality. The vendor states that numerous plugins are available, including geo-spatial indexing, GeoSPARQL, RDF rank, and connectors for popular search engines like Elasticsearch, Solr, and Lucene, enabling full-text and faceted search capabilities. The Kafka connector is said to facilitate data synchronization to downstream systems.

**Simple to operate high availability cluster**: GraphDB offers a high availability cluster feature that ensures automatic failover, synchronization, and load balancing to maximize node utilization, according to the vendor. It scales query processing proportionally to the number of cluster nodes, allowing for increased query throughput. The cluster is claimed to remain fully functional even in the event of failing nodes, ensuring data availability and reliability.

**Workbench interface for easy management**: According to the vendor, GraphDB provides a user-friendly workbench interface that allows users to easily manage repositories, data, user accounts, and access roles. It is designed to simplify administration and configuration tasks.

GraphDB has proven to be a reliable and efficient solution for managing interconnected data and establishing relationships. Users have found that it solves various business problems and offers valuable capabilities. One key use case is in the marketing department, where GraphDB is utilized to store, organize, and manage content in the form of semantically enriched smart data. This allows marketers to gain deeper insights into their data, enabling more targeted and personalized marketing campaigns. Additionally, GraphDB's easy learning curve has made it a preferred tool for users, providing them with a comfortable experience in managing complex data.

Another significant problem solved by GraphDB is the need for speed and efficiency in data management. Users have praised GraphDB for its fast performance, which has helped overcome previous speed issues experienced with other tools. This speed is especially crucial when dealing with large datasets or when conducting real-time data analysis. Moreover, GraphDB's seamless integration with other tools, such as PoolParty as part of the Semantic Integrator solution, has further enhanced its utility for users in various industries.

GraphDB also addresses the need for reliable and easy-to-use semantic platforms. Users appreciate the feature set offered by GraphDB, considering it one of the top triplestores available. Its ability to handle test triple stores, publish linked open data sets, and integrate laboratory environments showcases its versatility across different domains. Furthermore, the graphical user interface of GraphDB has received positive feedback from users, making it accessible and interactive for analyzing and visualizing data.

Overall, GraphDB has emerged as a trusted solution for users' interconnected data management needs. Its speed, reliability, ease of setup, and user-friendly interface have positioned it as a preferred choice for organizations across industries seeking effective solutions for their complex data challenges.

Ontotext helps enterprises to identify meaning across diverse datasets and massive amounts of unstructured information since 2000. Ontotext offers technology and services for the development of big knowledge graphs, interlinking multiple structured datasets. Analysis of such graphs provides semantic entity profiles that enable more accurate text analysis, which in turn delivers metadata, new entities and relationships to enrich the graphs. Ontotext’s most popular product is GraphDB(TM) – a semantic graph database engine. The Ontotext Platform extends it with text analysis, semantic tagging, search, classification and discovery capabilities.

Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.

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MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

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GraphDB

Graph Database

A short demo of a weekend pet-project of Stefan, a developer at sones.

To make the graphs you are cre­at­ing with the sones GraphDB that much more touch­able we give you a sneak peak at our newest addi­tion of the sone GraphDB toolset: the Visu­al­Graph tool.

This tool con­nects to a run­ning data­base and allows you to run queries on that data­base. The result of those queries is then pre­sented to you in a much more nat­ural and intu­itive way, com­pared to the usual JSON and XML out­puts. Even more: you can play with your queries and your data and see and feel what its like to work with a graph.

Expect this tool to be released in the next 12 months as open source. Every­one can use it, Every­one can ben­e­fit from it.

sones GraphDB VisualGraph Tool

GraphDB - Neo4j - Covid19-Traceability Demo

graphdb - neo4j bloom - address demo

Ontotext

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What is GraphDB?