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"A big and key piece of the value of Target Discovery was the ranking by targets - that caught our attention. And the willingness of Ontotext to work with us to understand our needs was a good part of the choice. They showed how we could use our data, and customized the tool and process to fit our needs."

"Ontotext’s solution does what they need it to do. The willingness of the Ontotext team to adjust the tool based on needs was a critical point. We formed a relationship with them that made a difference - and our ability to handle large data sets, to find and rank choices is now so much better and faster!"

Our experience with Ontotext Target Discovery platform has been phenomenal. We initially thought we’d just plug in a set of genes, then get some results, and go and validate them. But it’s reached far beyond that. The platform has all these little tools that we can use to better prioritize candidates or build a stronger rationale

"When I think of Target Discovery, I believe it would be an integral part of every workflow. Now I always keep an open tab while I’m doing my work and it’s a super useful tool. It’s something I’d always refer to, whether that’s a literature search, looking for patterns I can use, or building a rationale for something. I can get the information I need and, within minutes, I’m able to build enough rationale to guide my research"

"It’s been helpful to get an idea of how to rank and stratify genes, so we would definitely recommend your platform to our colleagues and consider it for use in other projects."

"It’s quite hard to go to all EMBL (European Molecular Biology Laboratory) databases and pick out the relevant experimental data. The Target Discovery platform is quite helpful for getting meaningful insights from any information we are interested in."

“Ontotext is the right place for people like me who are ready to dive into complex challenges and those who also value a flexible working environment.”

“My journey at Ontotext has been nothing short of adventurous and exciting. Here you can combine theoretical knowledge and practical solutions to many challenging problems. From graph traversal algorithms to highly available distributed systems, you get the opportunity to learn about new technologies, frameworks and algorithms and apply this knowledge to compelling use cases.”

“I’m quite a curious person and Ontotext is great for me because I work with data coming from new fields all the time. This is exciting because through the data they collect, I get to discover the reality of the field through one of the most objective lenses possible.”

"GraphDB: Relatively robust. Ease of use for developing queries. Offer free features that could help the widespread use."

"GraphDB: The class hierarchy, class relationships, visual graph these options are great to know about ontology of data and relationship of data."

"GraphDB: I'm impressed with its performance and ease to use. I also appreciate the scalability as it has easily accommodated my growing datasets without sacrificing speed or reliability."

"GraphDB: Visualization of the graph SPARQL query interface. Easy importing and exporting. Multiple output formats available."

"GraphDB: Graphical relations are organized and presented in multiple meaningful ways. I am yet to encounter any performance issues, but I have only worked with the free edition."

"GraphDB: Visualization, creating and executing SPARQL queries, inference, supporting all RDF languages. There is a free edition available."

"GraphDB: It's efficient and very much as per our requirement. Totally love the product and planning to use it with more solutions."

"GraphDB is known for high performance. It can handle large amount of data and can process queries very quickly, which makes it very suitable for use in large-scale applications."