With the ever-growing complexity of enterprise data, it’s paramount for organizations to have efficient, dependable and cost-effective tools to let them connect the dots of their enterprise knowledge. Over the past 10 years the knowledge graph paradigm has matured and has won its position at the core of the next generation data management and content management systems.
Ontotext’s GraphDB is the leading database engine for managing knowledge graphs, powering business critical systems in many of the biggest enterprises across various industry verticals. These enterprises choose GraphDB, because it is cloud agnostic and offers predictable performance across a wide range of workloads, architectures and infrastructures.
“In GraphDB 10 we did a lot to make the most advanced data management technology as robust and easy to operate as it must be in order to penetrate the mainstream market.”
Atanas Kiryakov, CEO of Ontotext
GraphDB 10.0 is the first major release since GraphDB 9.0 was released in September 2019. It implements next generation, simpler and more reliable cluster architecture to deliver even better resilience with reduced infrastructure costs. GraphDB 10 lowers the complexity of operations with better automation interfaces and a self-organized cluster for automated recovery. Deployment and packaging optimizations allow for effortless upgrades across the different editions of the engine, all the way from GraphDB Free to the Enterprise Edition. The improved full-text search (FTS) connectors of GraphDB 10 enable more comprehensive filtering as well as easier downstream data replication. Finally, parallelization of the path search algorithms brings massive improvement in graph analytics workloads through better exploitation of multi-core hardware.