GraphDB

Database management tool for healthcare & finance businesses

About GraphDB

GraphDB is a database management software designed to help businesses in healthcare, finance, publishing, and other industries index data to facilitate semantic search and create knowledge graphs by conducting text analysis. The integrated NoSQL database system allows IT professionals to automate querying and storage of structured and unstructured data.

It offers a variety of features including data import, content classification, data visualization, reporting, semantic tagging, and more. GraphDB enables organizations to configure search and retrieval of domain objects, execute search queries, and identify word embeddings from knowledge graphs. Employees can use the application to generate resource description framework (RDF) data, clean the input data through scripting language, and parse structured data in various formats such as JSON, XML, CSV, XLS, and more.

GraphDB facilitates integration with MongoDB, a document-based database system, which allows users to query databases using SPARQL language and streamline metadata management operations. It also lets IT teams automate workflows, synchronize worker nodes, and manage input datasets.

Pricing starting from:

N/A

  • Free Version
  • Free Trial
  • Subscription

Business size

S M L

Deployment

  • Cloud-based
  • On-premise

Countries available

Bulgaria

Supported Languages

Not provided by vendor

Pricing starting from:

N/A

  • Free Version
  • Free Trial
  • Subscription

Images

GraphDB Software - GraphDB data repository
GraphDB Software - GraphDB query and update
GraphDB Software - GraphDB download files
GraphDB Software - GraphDB visual graph
GraphDB Software - GraphDB query and update table view
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GraphDB video
GraphDB Software - GraphDB data repository
GraphDB Software - GraphDB query and update
GraphDB Software - GraphDB download files
GraphDB Software - GraphDB visual graph
GraphDB Software - GraphDB query and update table view

Features

Total features of GraphDB: 34

  • API
  • Access Controls/Permissions
  • Activity Dashboard
  • Authentication
  • Backup and Recovery
  • Data Capture and Transfer
  • Data Connectors
  • Data Import/Export
  • Data Mapping
  • Data Recovery
  • Data Replication
  • Data Retrieval
  • Data Storage Management
  • Data Synchronisation
  • Data Verification
  • Data Visualisation
  • Database Support
  • Full Text Search
  • Graph Database
  • Indexing
  • Monitoring
  • Multiple Data Sources
  • NOSQL
  • Performance Analysis
  • Performance Testing
  • Real Time Data
  • Role-Based Permissions
  • SSL Security
  • Search/Filter
  • Secure Data Storage
  • Semantic Search
  • Third Party Integrations
  • User Management
  • Virtualisation

Alternatives

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Amazon DynamoDB

4.5
#3 Alternative to GraphDB
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Partly API

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#4 Alternative to GraphDB
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Reviews

Overall rating

4.7 /5
(24)
Value for Money
4.6/5
Features
4.5/5
Ease of Use
4.6/5
Customer Support
4.4/5

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Showing 5 reviews of 24
Peter
Overall rating
  • Industry: Education Management
  • Company size: 51-200 Employees
  • Used Weekly for 6-12 months
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 9.0 /10

Very easy to use. Great support.

Reviewed on 06/03/2018

Ease of use.

Ease of use.

Pros

Very easy to use when trying to parse through qualitative data for my dissertation. Needed to code data from multiple reflections and interviews.

Cons

was very easy to use.. took a little while to get up to speed, but once I did, I found it very intuitive and easy to use.

Mark
Overall rating
  • Industry: Research
  • Company size: 10,000+ Employees
  • Used Daily for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 10.0 /10

Nearly instantaneous, rich-featured semantic repository

Reviewed on 29/10/2019

There are other triple stores with different feature sets, but it don't think there's any...

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

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.)

Response from Ontotext

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

Alexander
Overall rating
  • Industry: Research
  • Company size: 1,001-5,000 Employees
  • Used Weekly for 6-12 months
  • Review Source

Overall rating

  • Ease of Use
  • Likelihood to recommend 6.0 /10

review of graphdb in the production planning

Reviewed on 05/11/2019

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

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

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

Alternatives Considered

MarkLogic

Reasons for Switching to GraphDB

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

Response from Ontotext

Thank you for your feedback!

Joop
Overall rating
  • Industry: Government Administration
  • Company size: 201-500 Employees
  • Used Weekly for 1+ year
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Likelihood to recommend 8.0 /10

GraphDB

Reviewed on 05/11/2019

We use GraphDB together with PoolParty as part of the Semantic Integrator solution.
We use 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.

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.

Response from Ontotext

Thank you for your feedback, Joop. Be well!

Adonay Andres
Overall rating
  • Industry: Information Technology & Services
  • Company size: 2-10 Employees
  • Used Monthly for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 10.0 /10

The best Ontological Database Engine

Reviewed on 29/10/2019

We've had a really good time working with it. Once we have a good model definition (which applies...

We've had a really good time working with it. Once we have a good model definition (which applies for any graph engine) it simply works and works really well.

Pros

Over the last years, GraphDB has improved a lot, speaking about performance and inference. Graph DBs have always had the problem of being too slow for solving queries, we always had to structure them in a way that it was optimal for the engine to solve them. Graph DB has been always the most performant one.
Another feature that I loved from it is that, in order to install it, you simply copy a single jar file and you're almost ready to go. The user interface helps a lot. And its compliance with several standards for the interchange formats makes the way pretty straight forward no matter what tool was used to generate an interchange file.

Cons

The con I find with the product is about updates. When a new version comes up (which sometimes I don't know about the fact that there's a new release), I need to manually download it and deploy it. Also it would be desirable if we had access to connectors for different platforms. We work a lot with node.js and there's almost no libraries to use it with graphDB that are backed by ontotext.

Response from Ontotext

Dear Adonay, thank you for your great feedback! It is always great to see some extended prons and cons of the product you create! Regarding the cons: If you are part of the GraphDB Update announcements list you should receive a note about every update of GraphDB, so you won't be missing anything new. About the connectors: Latest releases of GraphDB support connectors and plugins to MongoDB Lucene, SOLR, Elasticsearch. If you need connectors to other popular services, you should make a request to the GraphDB Production team. Best Regards

Showing 5 reviews of 24 Read all reviews

GraphDB FAQs

Below are some frequently asked questions for GraphDB.

GraphDB offers the following pricing plans:

  • Pricing model: Free Version
  • Free Trial: Available

GraphDB offers a 60-day free trial for new users, after which the software is available across 3 pricing tiers - GraphDB Enterprise, GraphDB Standard, and GraphDB Free on a perpetual license basis. Please contact Ontotext directly for pricing information.

GraphDB has the following typical customers:

Self Employed, 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000

We do not have any information about what languages GraphDB supports

GraphDB supports the following devices:

GraphDB integrates with the following applications:

MongoDB

GraphDB offers the following support options:

Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, Chat

Related categories

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