GraphDB 2026: Benefits, Features & Pricing

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Overview
Pricing and Plans
Features
Integrations
User Reviews

Overview

GraphDB

4.7

(26)

Pricing

Pricing available upon request

About GraphDB

GraphDB is a database management solution that helps businesses in finance, publishing, healthcare and other industries create knowledge graphs and streamline data indexing operations. The built-in NoSQL database system allows IT teams to manage storage and retrieval of data from relational databases.

The platform enables employees to parse structured data in JSON, XML, CSV, XLS and other formats and perform semantic searches in real-time. Features of GraphDB include data storage management, reporting, semantic tagging, data visualization and more. Additionally, it lets IT professionals generate and store the resource description framework (RDF) data in a centralized repository.

GraphDB facilitates integration with a document-based database system, MongoDB, which enables users to automate the database querying processes. Pricing is available on request and support is extended via phone, email and a knowledge base.

GraphDB Screenshots

GraphDB Pricing and Plans

Starting price: Connect with an advisor for pricing

Free Trial

Free Version

Basic

Pricing available upon request

No plan information available

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GraphDB Features

Popular features found in Database
Backup and Recovery
Database Conversion
Data Connectors
Data Migration
Data Replication
Data Virtualization
Multiple Programming Languages Supported
Performance Analysis
Secure Data Storage
More features of GraphDB
Access Controls/Permissions
Activity Dashboard
API
Authentication
Database Support
Data Capture and Transfer
Data Import/Export
Data Mapping
Data Recovery
Data Retrieval
Data Storage Management
Data Synchronization
Data Verification
Data Visualization
Full Text Search
Graph Database
Indexing
Monitoring
Multiple Data Sources
NOSQL Database Management
Performance Testing
Real-Time Data
Role-Based Permissions
Search/Filter
Semantic Search
SSL Security
Third-Party Integrations
User Management

GraphDB Integrations

MongoDB

GraphDB User Reviews

Overall Rating

4.7

Ratings Breakdown

73%

27%

Secondary Ratings

Ease of Use

4.6

Value for money

4.6

Customer support

4.5

Functionality

4.5

Stratos K.

Verified reviewer

Information Services

11-50 employees

Used daily for more than 2 years

Review source

Reviewed December 2023

The best RDF graph database in the market

I have been using GraphDB for several years now and in almost all the positions I have worked for. In my opinion, it is by far the best tool out there for managing RDF graph databases. I love the simplicity of the interface, the practicality and aesthetic superiority of the visualizations and the overal "smoothness" that comes with using it. I cannot stress enough how great the technical support has always been at responding blazingly fast and always providing solutions to various issues one may come accross, even if they are GraphDB Free users.

Ratings Breakdown

Ease of use

Customer support

Functionality

Pros:

- Compliance to all the W3C standards, including SHACL. - User-friendly UI. - Aesthetically superior visualizations. - Great documentation: As detailed as it needs to be, but not more than that. - Great technical support (even for the GraphDB Free version users) that responds almost immediately.

Cons:

I honestly cannot think of anything negative to say about the tool and the customer support. Even though the company behind the tool (Ontotext) is a big global enterprise, every interaction I have with them feels like they genuinely care about whatever issues I am having with GraphDB and honestly want to help out in resolving it.

Mark M.

Verified reviewer

Research

10000+ employees

Used daily for more than 2 years

Reviewed October 2019

Nearly instantaneous, rich-featured semantic repository

There are other triple stores with different feature sets, but it don't think there's any triplestore that is better than GraphDB.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

It's very quick and easy to deploy GraphDB, ingest some RDF data, build queries in a IDE-like environment, and visualize relationships. A semantic similarity search tool is provided.

Cons:

The OntoRefine tool is great for converting tabular data files into semantic triples, but there's no support for reading from relational databases. There are nice free text indexing & search tools, but no natural language parser for discovering entities and relationships. There are several pre-configured reasoning levels plus support for writing one's own rules, but no support for SWRL. Like most triplesotres, OWL2 reasoning over complex axioms and millions of data triples isn't fun/fast/realistic? (I say that based on a single node, two threads, and 256 GB RAM.)

Reasons for choosing GraphDB

Great SPARQL query building environment. Built in visualizations. Fully functional 2-core version and reasonable academic prices.

Reasons for switching to GraphDB

Easier to deploy and configure. Better SPARQL query building environment. Built in visualizations. GUI for importing tabular data.

Vendor Response

Thank you for your feedback, dear Mark! We will address all the recommendations you have left to the production team. Be well

Replied November 2019

Alexander R.

Verified reviewer

Research

1001-5000 employees

Used weekly for less than 12 months

Review source

Reviewed November 2019

review of graphdb in the production planning

We are currently using graphdb in a PoC as semantic web stack compliant database for data integration in a laboratory environment.

Ratings Breakdown

Ease of use

Functionality

Pros:

- ease of use (compared to other semantic web stack solutions) - degree of inferencing implementation - solution for transforming relational data into RDF with OpenRefine integration - query performance (for SELECT, a evaluation for INSERT queries could not be given due to use of free version) - good support even at free version

Cons:

- versioning of data (see changes over time) - better controllability of role and rights (give rights for specific graphs in repository) - no IdP based authentiaction like OpenID Connect (or something based on oAuth2 or at least SAML) - easy to use integration for object storage (like AWS S3) - documentation could be more detailed in some places

Reasons for choosing GraphDB

- extensive free version - ease of use (frist time usage of an rdf triplestore / graph database) - visualization - beginner-friendly documentation

Vendor Response

Thank you for your feedback!

Replied November 2019

Joop V.

Verified reviewer

Government Administration

201-500 employees

Used weekly for less than 2 years

Review source

Reviewed November 2019

GraphDB

We use GraphDB together with PoolParty as part of the Semantic Integrator solution. We use GraphDB as our test triple store. We use GraphDB to publish our "small" linked open data sets.

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

I can be very short about my (our) experiences so far with GraphDB. GraphDB is a clear winner for our usecases now. The learning curve is not steep, almost self-explanatory. It’s fast and it fits our needs; for now. We loved the graphics of GraphDB.

Cons:

OntoRefine. It looks fine but we missed some modeling features. We switched back to OpenRefine.

Reasons for choosing GraphDB

Stardog is very good, but some things, like sharing the databases, adding data were not so straight forward. Stardog had problems with gzip files or any other files than trig.

Reasons for switching to GraphDB

Virtuoso was too big and too complicated for our use.

Vendor Response

Thank you for your feedback, Joop. Be well!

Replied November 2019

Verified

Reviewer

Research

11-50 employees

Used daily for more than 2 years

Review source

Reviewed October 2019

One of the best for graph databases

The use of graphDB solves many speed issues as it is very fast. The webservice api allows manipulation of the repositories (create, delete, import). The only problem is that after some updates, the speed of the endpoint queries dorps very much. An example for this if the migration from v8.11.1 to v9.0. I am using the free version but in a single thread and they mention that the only limitation of the free version is the limitation of simultaneous queries to only two. I had the same problems when i tried the enterprise edition for a trial period and never managed to reach the speed of the free version with any change I tried in the setup or options.

Ratings Breakdown

Ease of use

Functionality

Pros:

Sparql support. Ease of setup. Webservice api. Functionality of free version.

Cons:

Speed changes after some updates. Removal from GCC

Vendor Response

Hi and thank you for your honest review. We want to help you solve all that bothers you when using GraphDB. Gould you write to our GraphDB Support team to investigate your problem with the speed. Please email them to graphdb-support@ontotext.com My colleagues will take care of you further. Be well, Regards, Milen

Replied October 2019

Verified

Reviewer

Research

1001-5000 employees

Used weekly for more than 2 years

Reviewed October 2019

Perfect tool for your knowledge graph

I am using GraphDB for visualizing data which I created for our two EU project I am working on. One is a Healthcare project with NHS Scotland and the other is a transportation project. I also advise the student of my class to use this product which has a grate feature.

Ratings Breakdown

Ease of use

Functionality

Pros:

-Seamless navigation from one tab to another tab -Similarity matrix -Index -Visualization -Google map view -documentation

Cons:

-the way it represents class hierarchy -NA

Vendor Response

Hi and thank you for your feedback! Could you specify what bothers you in the way it represents class hierarchy? Best Regards,

Replied November 2019

Verified

Reviewer

11-50 employees

Used weekly for less than 6 months

Review source

Reviewed March 2018

This is an excellent platform to get started in graph databases and knowledge representation.

I learned a tremendous amount about data structures / formats, and through iterative work, I learned more about how to structure an ontology. (Note: Accounting is not my industry, even though this survey suggests I'm in accounting)

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

1) The ease of import/export. 2) The visualizations, overall platform direction, and ease of updates. 3) Class hierarchies and visual graph. 4) SPARQL Query & Update (Editor and Results) feature.

Cons:

1) Tutorials. These could be greatly improved. 2) Import fails are difficult to clear? 3) Interdisciplinary users have difficulty interpreting impact of "repository setup" selections. 4) Broad description specific to each feature / utility and how it can be utilized. For example, this is a Graph Database tool, but can any aspect be specifically used for ontologies. If yes, which one and to what specificity?

Panagiotis D.

Verified reviewer

Research

11-50 employees

Used daily for less than 6 months

Review source

Reviewed March 2018

Great Graph Database Implementation with very good Rest service.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

-The Ease of Use of the Rest service which allows you to import vast data at once. -The speed of the server even in the free edition with the limited number of the concurrent queries.

Cons:

If I had to pick something, it would be the heavy workbench that uses too much memory. It is expected in general but still it is annoying to have a non responsive browser after a few hours.