Resilient Clustering.
Super Nodes.
24x7 Support.

thatDot offers commercial support and advanced features for Quine, the open source streaming graph for event pipelines.

Why thatDot Streaming Graph?

thatDot Streaming Graph extends Quine OSS and is ideal for production applications where resilience, performance, and throughput matter and it is critical to resolve issues as fast as possible. thatDot Streaming Graph's resilient clustering includes support for hot spares and distribution across multiple availability zones. Our engineers and architects deliver 24x7 expert, multi-channel support.  

Cost Effective Scaling

Scales to millions of events on standard AWS or GCP instances. Predictable OPEX, reliable operations.

Expert Support from Engineers

24x7 support from thatDot engineers, critical issue SLAs, and priority bug fixes. Connect with streaming graph experts.

Supernode Support

thatDot Streaming Graph's advanced supernode support effortlessly manages nodes containing hundreds of millions of edges.

Resilent Clustering

Scale your graph across hundreds or even thousands of servers. Cluster for fault-tolerance and scale . Easy to configure and modify.

Feature Request Priority

At thatDot, code is customer service. That means prioritizing thatDot Streaming Graph client feature requests.

User Defined Functions

Extend  functionality of thatDot Streaming Graph with custom logic relevant  your use case. Call UDFs directly within thatDot Streaming Graph without requiring an outside service.

thatDot Expert Support

Whether you're well-versed in graph databases and event processing systems or just stepping into the realm of real-time event stream processing, thatDot provides an extensive array of support services.

Our goal is to facilitate a swift and hassle-free transition of your thatDot Streaming Graph solution into production, ensuring a seamless experience for both veteran users and newcomers alike.

Support delivered the way you want it


thatDot Streaming Graph is built upon the industry leading open source Quine streaming graph.


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