The GraphSQL analytics platform is the fastest graph analytics platform with response times in milliseconds and hundreds of millions of connections per second. All of our customers have gained 100x query performance increases after migrating from other solutions including other graph databases, Hive, MySQL, and other deployments.
GraphSQL is built for analyzing dynamic, fast-changing data in the scale of billions of updates per day. This real-time analysis of fast-changing customer, financial, shipment, and other data empowers businesses to respond immediately to changing events as they unfold.
The graph database and processing engine have been built to ensure high performance on massive big data volumes. Production GraphSQL deployments routinely analyze trillions of vertices and edges. Innovative massively parallel processing and 10-20x data compression ensure performance and scalability. And it’s the first and only graph analytics platform able to unify and process your offline data with your online data.
A complete high level SDK and intuitive visualization console is used for graph modeling, mapping, loading, and querying. Application developers will appreciate using the expressive SQL-like graph query language (GSQL). No additional coding via Java, C++, and other programming languages is needed.
The REST API enables seamless integration to each of your business applications.
Can be deployed on-premise, in a private cloud, or run in a public cloud.
Includes AlwaysOn availability via built-in redundancy, Active-Active load balancing, and new machine auto-deployment. Cross data center disaster recovery, replication, and other data protection capabilities ensure consistent, reliable service.
It includes system monitoring that automatically dispatches alerts if thresholds are tripped and service level agreements are not met.
Supports both scale-up and scale-out deployment models for distributed applications. This along with the efficiency of the the graph engine results in very low total cost of ownership – especially when compared to existing traditional platforms.