Microservice Hell: The State of the Art in Streaming Services
Discover how thatDot’s Streaming Graph simplifies data processing, automating scalability and resilience for high-value insights through real-world examples.
Calculate Risk and Optimize Asset Allocation in Real Time
Asset allocation and risk calculations need to move from batch to real time to free assets and improve compliance. Quine Streaming Graph provides a path.
idFrom(): the simple function that’s key to Quine streaming graph
idFrom() seems like a simple function for generating node IDs but it is the key to Quine’s ability to find complex patterns in high volume event streams.
Quine 1.4.0: Scale, Stability, Supernode Mitigation
Quine 1.4.0 release includes improvements for scalability, stability, and supernode mitigation plus work key to reaching 1M events/sec.
What is the difference between batch and stream processing?
Stream processing offers the opportunity to detect important patterns in information and act in real time.
The Evolution To Streaming Graph from Graph Databases
When it comes to event-driven applications, graph database users require a new approach: streaming graph.