--- description: Get detailed information about GraphDB and how it can help you meet your business needs. Learn more about GraphDB price, benefits, and disadvantages for businesses in Singapore. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: GraphDB Pricing, Cost & Reviews - Capterra Singapore 2026 --- Breadcrumb: [Home](/) > [Database Software](/directory/18/database-management/software) > [GraphDB](/software/157533/graph-db) # GraphDB Canonical: https://www.capterra.com.sg/software/157533/graph-db Page: 1 / 2\ Next: [Next page](https://www.capterra.com.sg/software/157533/graph-db?page=2) > Graphwise GraphDB is empowering AI and knowledge graphs with enterprise-grade semantics and scalable, standards-based intelligence. > > Verdict: Rated **4.7/5** by 26 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses GraphDB? Graphwise GraphDB is the preferred RDF Tripletore for healthcare and life sciences, financial and insurance, manufacturing, business and risk intelligence, media and STM Publishers, science and GLAM. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.7/5** | 26 Reviews | | Ease of Use | 4.6/5 | Based on overall reviews | | Customer Support | 4.5/5 | Based on overall reviews | | Value for Money | 4.6/5 | Based on overall reviews | | Features | 4.5/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Ontotext - **Location**: Sofia, Bulgaria - **Founded**: 2008 ## Commercial Context - **Pricing model**: Usage Based (Free version available) (Free Trial) - **Pricing Details**: GraphDB offers a 60-day free trial for new users, after which the software is available across 2 pricing tiers - GraphDB Enterprise and GraphDB Free on a perpetual license basis. Please contact Graphwise directly for pricing information. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise) - **Supported Languages**: English - **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua & Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 209 more ## Features - Backup and Recovery - Data Import/Export - Data Replication - Data Retrieval - Data Storage Management - Data Synchronization - Graph Database - Search/Filter ## Integrations (1 total) - MongoDB ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - Chat ## Category - [Database Software](https://www.capterra.com.sg/directory/18/database-management/software) ## Related Categories - [Database Software](https://www.capterra.com.sg/directory/18/database-management/software) - [NoSQL Databases Software](https://www.capterra.com.sg/directory/32257/nosql-databases/software) ## Alternatives 1. [Microsoft SQL Server](https://www.capterra.com.sg/software/1417/sql-server) — 4.6/5 (1974 reviews) 2. [MySQL](https://www.capterra.com.sg/software/11482/mysql) — 4.6/5 (2094 reviews) 3. [MongoDB](https://www.capterra.com.sg/software/127374/mongodb) — 4.7/5 (468 reviews) 4. [Airtable](https://www.capterra.com.sg/software/146652/airtable) — 4.6/5 (2222 reviews) 5. [Oracle Database](https://www.capterra.com.sg/software/5938/oracle-database) — 4.6/5 (471 reviews) ## Reviews ### "The best RDF graph database in the market" — 5.0/5 > **Stratos** | *6 December 2023* | Information Services | Recommendation rating: 10.0/10 > > **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. > > 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. ----- ### "Nearly instantaneous, rich-featured semantic repository" — 5.0/5 > **Mark** | *29 October 2019* | Research | Recommendation rating: 10.0/10 > > **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.) > > There are other triple stores with different feature sets, but it don't think there's any triplestore that is better than GraphDB. ----- ### "review of graphdb in the production planning" — 4.0/5 > **Alexander** | *5 November 2019* | Research | Recommendation rating: 6.0/10 > > **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 > > We are currently using graphdb in a PoC as semantic web stack compliant database for data integration in a laboratory environment. ----- ### "GraphDB" — 5.0/5 > **Joop** | *5 November 2019* | Government Administration | Recommendation rating: 8.0/10 > > **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. > > 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. ----- ### "One of the best for graph databases" — 4.0/5 > **Verified Reviewer** | *3 October 2019* | Research | Recommendation rating: 8.0/10 > > **Pros**: Sparql support. Ease of setup. Webservice api. Functionality of free version. > > **Cons**: Speed changes after some updates. Removal from GCC > > 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. ----- Page: 1 / 2\ Next: [Next page](https://www.capterra.com.sg/software/157533/graph-db?page=2) ## Links - [View on Capterra](https://www.capterra.com.sg/software/157533/graph-db) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ko | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Structured Data