---
title: "GraphDB Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about GraphDB Software - reviews, pricing plans, popular comparisons to other Database products and more."
source_url: "https://www.capterra.com/p/157533/Graph-DB/"
page_type: "product"
language: "en"
---

# 

 GraphDB Software Review 2026: Features, Integrations, Pros & Cons

Last updated on September 17, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews)

GraphDB

## What is GraphDB?

Graphwise GraphDB is probably the best RDF Database for building enterprise knowledge graphs. With this semantic graph database, you can link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. GraphDB is the preferred choice of data architects, developers and scientists for its visual workbench, data reconciliation and visualization capabilities, open-source plugins for connectivity and virtualization, adequate support and predictable pricing

## What is GraphDB used for?

[NoSQL Databases](https://www.capterra.com/nosql-databases-software/)[Database](https://www.capterra.com/database-management-software/)

Overall rating

Based on 26 user reviews

Reviews sentiment

Positive

100%

Neutral

0%

Negative

0%

### Starting price

Free trial available

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

Do you work for GraphDB?[Manage this product listing](https://www.g2.com/products/graphwise-graphdb/claim_requests/new?auto=true)

## GraphDB Overview

Updated September 2026

AI summary

GraphDB provides organizations of all sizes with a NoSQL graph database platform for managing, analyzing, and visualizing complex connected data. Its features include secure data storage, data import/export, access controls, semantic and full text search, backup and recovery, and integration with third-party tools. GraphDB is available via cloud, SaaS, web, and desktop deployment options.

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### GraphDB

4.7 (26)

VS.

[### Redis Enterprise](https://www.capterra.com/p/173860/Redis-Enterprise/)

[4.8 (65)](https://www.capterra.com/p/173860/Redis-Enterprise/#reviews)

Starting Price

Contact vendor

Starting Price

$7

Usage Based, Per Month

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.6 (26)

Ease Of Use

4.6 (65)

Value For Money

4.6 (20)

Value For Money

4.3 (53)

Customer Service

4.5 (21)

Customer Service

4.5 (42)

## GraphDB alternatives

[Azure Cosmos DB](https://www.capterra.com/p/214642/Azure-Cosmos-DB/)

[4.2 (10)](https://www.capterra.com/p/214642/Azure-Cosmos-DB/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

80%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/214642/Azure-Cosmos-DB/)

[DataStax Enterprise](https://www.capterra.com/p/138171/DataStax-Enterprise/)

[0.0](https://www.capterra.com/p/138171/DataStax-Enterprise/#reviews)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

0%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/138171/DataStax-Enterprise/)

[Couchbase Server](https://www.capterra.com/p/132494/Couchbase-Server/)

[4.1 (12)](https://www.capterra.com/p/132494/Couchbase-Server/reviews/)

Starting price

$2499.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

83%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/132494/Couchbase-Server/)

[MongoDB](https://www.capterra.com/p/127374/MongoDB/)

[4.7 (473)](https://www.capterra.com/p/127374/MongoDB/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

99%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/127374/MongoDB/)

## FAQs about GraphDB

Overview

### Which roles and teams benefit most from GraphDB?

GraphDB is most used by data scientists, knowledge engineers, ontologists, and metadata specialists who build connected datasets, model complex relationships, and improve semantic search. Developers and architects use it to power graph-based applications and integrations, while researchers, consultants, and executives rely on it for analysis, innovation planning, and informed decision-making.

Answer based on 26 reviews

Overview

### What company size and specific industries is GraphDB built for?

GraphDB is designed for organizations in healthcare and life sciences, financial services and insurance, manufacturing, business and risk intelligence, media, STM publishing, science, and GLAM. The vendor description does not specify company size, so it appears suited to organizations across sizes in these sectors.

Features and Usability

### What are the key features of GraphDB?

GraphDB offers graph database and NoSQL database management features, along with API access, data connectors, and data import/export for working with multiple data sources. It also includes access controls, role-based permissions, authentication, SSL security, backup and recovery, indexing, full text search, semantic search, monitoring, and data visualization.

Integrations

### Which third-party tools and platforms does GraphDB integrate with?

GraphDB connects natively to MongoDB.

Answer based on 6 reviews

Getting Started and Support

### What training and onboarding options does GraphDB offer?

GraphDB provides in person training, live online sessions, webinars, documentation, and videos to help teams get started. In person and live online formats support guided instruction, webinars cover scheduled group learning, documentation offers written reference material, and videos provide visual walkthroughs for self-paced review.

Answer based on 1 reviews

Getting Started and Support

### What customer support options does GraphDB offer?

GraphDB provides email/help desk, FAQ/forum, knowledge base, phone support, and chat. Users describe technical support as responsive and helpful, with fast replies and clear solutions, and they also point to detailed documentation and practical self-service resources that make getting help straightforward.

Answer based on 2 reviews

Ease of use

### How easy is GraphDB to use?

GraphDB offers a relatively approachable setup and interface, especially for teams working with semantic data and graph queries. Researchers, developers, and ontology-focused users often find importing, browsing, and exploring data straightforward, though some teams face a learning curve with SPARQL, repository settings, documentation, and certain integration limits.

Answer based on 10 reviews

## Features

AI summary

Based on 2,782 Database reviews

Capterra data shows that buyers of database software rank the following features as their top priorities:

-   **Secure Data Storage** (**55%** of reviewers rated this feature as critical)
-   **Data Storage Management** (**52%**)
-   **Backup and Recovery** (**55%**)

GraphDB supports all three features that reviewers rate most highly: **Secure Data Storage**, **Data Storage Management**, and **Backup and Recovery**. Together, these capabilities give teams a secure way to store information, manage data efficiently, and restore systems when needed, helping businesses maintain reliability, reduce risk, and keep critical data available.

Secure Data Storage

5.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Securely stores data to prevent data loss or breaches

Data Storage Management

4.5 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Manage and store data in a database

Data Connectors

2.0 (1)

0.00% of 1 reviewers that rated this feature as important or highly important

Connect to big data sources

Search/Filter

5.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Search and filter data across systems to locate required information by entering keywords or certain criteria

Data Import/Export

5.0 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Import and export data to and from software applications

Data Retrieval

4.5 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Search and find data in a structured format

GraphDB 33 features

### All Features
- Access Controls/Permissions: Define levels of authorization for access to specific files or systems
- Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
- API: Application programming interface that allows for integration with other systems/databases
- Authentication: Verify the identity of users/devices to enable secure access
- Backup and Recovery: Create backups and provide methods to recover deleted/lost data
- Data Capture and Transfer: Import, collect, and capture data from multiple sources
- Data Connectors: Connect to big data sources
- Data Import/Export: Import and export data to and from software applications
- Data Mapping: Track the management and flow of data throughout the organization
- Data Recovery: Ability to restore deleted, hidden, or lost data from an email server/system
- Data Replication: Process of copying and storing data in more than one site or node
- Data Retrieval: Search and find data in a structured format
- Data Storage Management: Manage and store data in a database
- Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
- Data Verification: Process of checking different types of data for accuracy to avoid errors or inconsistencies
- Data Virtualization: Retrieve and use data without requiring technical details about the data
- Data Visualization: Graphical representation of data
- Database Support: Supports common databases such as MySQL and Oracle
- Full Text Search: Search for specific words or phrases within a document or database
- Graph Database: Type of NoSQL database to store and organize data in the form of graphs
- Indexing: Compile and organize data into specific metrics
- Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user
- Multiple Data Sources: Allows users to manage data from a number of sources
- NOSQL Database Management: Database management based on customization, fluidity, and document relations
- Performance Analysis: Monitor and analyze the performance and status of a server or system/application
- Performance Testing: Allows developers to check if their applications/web browsers are running as expected.
- Real-Time Data: Receive data and information in real time
- Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals
- Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
- Secure Data Storage: Securely stores data to prevent data loss or breaches
- SSL Security: Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

---

Get Advice

We can help you find the software with the features you need.

Features

4.5 (26)

4.5

Based on 26 reviews

## Pricing

Value for money

4.6 (20)

### Starting price

Free trial available

Value for money

4.6 (20)

4.6

Based on 20 reviews

## Integrations

[

MongoDB](https://www.capterra.com/p/127374/MongoDB/)

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

4.5 (21)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.5 (21)

4.5

Based on 21 reviews

## User reviews

Overall rating

4.7

Based on 26 reviews

Filter by rating

5(19)

4(7)

3(0)

2(0)

1(0)

Mentioned topic

Sorted by most recent

NS

Nicolas S.

Phd Student

Research

### "GraphDB, an efficient Graph Database"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

February 7, 2024

Pros

\- Easy to use - Fast to deploy - Performant for reasonement - Support most of important things about W3C ontologies

Cons

\- Some features are restricted for enterprise (example for some access control features) - Expensive if you work alone and need a license for this kind of infrastructure

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Stratos K.

Knowledge Graph Engineer

Information Services

### "The best RDF graph database in the market"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

December 6, 2023

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.

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AM

Ashwin M.

Prof.

Education Management

### "Good tools for ontology"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

November 19, 2019

Good tool

Pros

Ease of use and functionalities for user

Cons

Cost for licensing to use by educational institutes and researcher faculty members

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

JV

Joop V.

Data modeller

Government Administration

### "GraphDB"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

8/10

November 5, 2019

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.

Switched from

[Virtuoso Universal Server](https://www.capterra.com/p/76830/Virtuoso/)

Virtuoso was too big and too complicated for our use.

Alternatives considered

[Stardog](https://www.capterra.com/p/169579/Stardog/)

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.

Review source

Vendor Referred: This reviewer was invited by the software vendor to submit an honest review.

Response from Vendor

November 11, 2019

Thank you for your feedback, Joop. Be well!

AR

Alexander R.

Research assistent

Research

### "review of graphdb in the production planning"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

3.0

3.0

Customer Service

0.0

0.0

Likelihood to Recommend

6/10

November 5, 2019

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

[Stardog](https://www.capterra.com/p/169579/Stardog/)

[MarkLogic](https://www.capterra.com/p/129649/MarkLogic/)

[Virtuoso Universal Server](https://www.capterra.com/p/76830/Virtuoso/)

Reasons for choosing GraphDB

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

Review source

Vendor Referred: This reviewer was invited by the software vendor to submit an honest review.

Response from Vendor

November 6, 2019

Thank you for your feedback!

VN

Vatsala N.

Senior Research Associate

Information Technology and Services

### "GraphDB review?"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

3.0

3.0

Likelihood to Recommend

9/10

October 31, 2019

Overall it is a very experience and since I have started using GraphDB, I have not switched to any other semantic platform.

Pros

The software is easy to use. The User interface is quite nice, and appealing. The blogs are well written and very informative, and is a good means to keep customers updated with the latest developments in the area of semantics.

Cons

Get some more documentation on the use of Sparql for example - how to formulate complex joins.

Review source

Vendor Referred: This reviewer was invited by the software vendor to submit an honest review.

Response from Vendor

November 4, 2019

Thank you for the positive review, Vatsala! Best Regards

MM

Mark M.

ontologist

Research

### "Nearly instantaneous, rich-featured semantic repository"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 29, 2019

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.)

Switched from

[Virtuoso Universal Server](https://www.capterra.com/p/76830/Virtuoso/)

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

Alternatives considered

[Stardog](https://www.capterra.com/p/169579/Stardog/)

Reasons for choosing GraphDB

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

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

November 4, 2019

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

AA

Adonay Andres A.

CTO

Information Technology and Services

### "The best Ontological Database Engine"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

October 29, 2019

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.

Reasons for choosing GraphDB

Not specifically switched from another product. About 8 or 9 years ago, we tested several engines. It turned out that graphDB had the best performance and it was really easy to deploy. So, we decided to stay with it.

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

November 4, 2019

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

AN

Anonymous User

Research Assistant

Research

### "Perfect tool for your knowledge graph"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

10/10

October 29, 2019

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.

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

Review source

Vendor Referred - Incentive Offered: This reviewer was invited by the software vendor to submit an honest review and offered a nominal incentive as a thank you.

Response from Vendor

November 4, 2019

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

SK

Stanislav K.

Consultant

Computer Software

### "Perhaps the best choice for mid-size company"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

October 29, 2019

Well, GraphDB is definitely one of the "triplestores of choice". It's suitable both for experiments and for production.

Pros

Good performance, a lot of features, great UI and documentation, ease of administration and use.

Cons

OWL 2 DL reasoning is not supported. The LPG model (i.e. RDF\*/SPARQL\* or Gremlin) is not supported.

Review source

Vendor Referred: This reviewer was invited by the software vendor to submit an honest review.

Response from Vendor

November 13, 2019

Thank you, for your feedback, Stanislav!

[View all Reviews](https://www.capterra.com/p/157533/Graph-DB/reviews/)

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