TriplyDB: making linked data the new normal

During its first two decades, linked data has been a highly technical approach. A small group of devotees and academics was able to use it in some use cases. But mainstream adoption was always hampered by a steep learning curve and complex tooling. At the same time, linked data has the potential to transform the current information landscape. Hundreds of thousands of domain experts whose daily work could be improved by using linked data-powered solutions. And there are thousands of organizations.

Triply's goal is to make linked data the new normal. We do this by providing production-grade software and high-performance/high-availability services. Users of Triply products get their work done without feeling overpowered by technical challenges. They are able to answer complex business questions that cannot be answered by other, non-linked data technologies

In this presentation we show how multiple user groups use Triply to make linked data work in their professional context. This includes small-scale users who want to publish and use rich data, as well as large-scale users who are responsible for maintaining crucial infrastructure that society depends on.

Our purpose: Making linked data the new normal

Linked data has yet to break through as a mainstream technology. Organisations are currently unable to use linked data as a replacement for their traditional databases. We believe there is a large potential for linked data for many organisations, if the technology would fit the expertise of regular users.

Our product TriplyDB takes away many of the technical steps that were previously needed in setting up a triple store. By making TriplyDB less technical to use, we want to allow many more users that work in a data-intensive domain to enjoy the benefits of linked data.

Triply supports linked data in large-scale production systems.

Many of the linked data use cases that we see today are grassroots projects: they are interesting small-scale experiments by smart people who are given room to experiment within their organization. What we see less is linked data that runs in large-scale production systems.

Triply seeks to change this. With TriplyDB users are able to quickly scale their working prototype to a production system. Current TriplyDB deployments contain the largest knowledge graphs that currently exist (hundreds of billions of triples). There are no other solutions in the marketplace that are known to comfortably scale to this level.

Because Triply solves the challenge of scaling up, linked data projects are able to quickly reach the production stage. This is how Triply makes linked data the new normal: by allowing projects to reach the production stage earlier.

Triply improves the developer experience and user experience for working with linked data.

Existing linked data products are overly technical, are not actively maintained, or only work at small scale. As a result, organizations spend many developer hours to successfully combine these products into one working system.

Triply changes this. By combining its scalable commercial solution with the best plugins the linked data community currently has to offer. This allows our users to use the best components out there, without having to develop the connections themselves. TriplyDB brings a wide collection of tools, components and visualization plugins together into one unified user interface. This is how Triply makes linked data the new normal: users can focus on reaching their business goals.

Triply believes in the benefits of following open standards.

Existing linked data products are pitched as database replacements. By doing so, no product focuses on the benefits of linked data over other (graph) stores.

Triply changes this. The big benefit of using open standards is that data can be meaningfully interpreted directly. This makes simplifies data integration, which is widely recognized as the most expensive step in a data processing. TriplyDB supports

This is how Triply makes linked data the new normal: by allowing users to effortlessly integrate multiple data sources.