thatDot Launches Streaming Graph Platform
“Enterprise data engineering teams are confined to the limitations and tradeoffs of the previous generation of event processing frameworks like Flink. They spend enormous time and effort building complicated event-driven architectures that only work on small...
ThatDot accelerates streaming data analytics with open source Quine
On VentureBeat, Shubham Sharma writes about thatDot's announcement of open source software Quine for streaming graph complex event processing. He discusses, among other things, the power of Quine to reduce the burden on developers of event stream processing data...
thatDot launches Quine, a streaming graph engine
On TechCrunch.com, Frederic Lardinois talks about the launch of Quine open source streaming graph complex event processing engine. “We’ve developed the streaming graph to really target the kind of the problem in the industry right now — the rock and hard place that we...
Real-time Blockchain Fraud Detection
The Problem Real-time linking of transactions, accounts, wallets, and blocks within and across blockchains is not possible with current solutions. Instead, the user must either rely on batch processing, which means results are out of date, or perform recursive lookups...
Authentication Fraud
The Problem Metered attacks that generate low volume log-in attempts, from diverse IPs and across extended time frames, are designed to avoid the "3 strikes in 24 hours" business rules in authentication applications and the more complex analysis of log analytics /...
Financial Fraud Detection
The Problem Financial fraud detection requires monitoring billions of transactions, devices and users in real-time for suspect behaviors without false positives that alienate customers when service is denied in the middle of a foreign vacation or late night business...
Video Observability for Root Cause Analysis
The Problem Real-time video observability that can solve Quality of Experience (QoE) issues while live broadcast events are still playing require the simultaneous monitoring of millions of data points. Video sessions flow across multiple systems including origins,...
Streaming Graph ETL
The Problem Most ETL tools use the batch processing paradigm to find high-value patterns in large volumes of data. Whether the specific business application is fraud detection, cyber security, network observability, e-commerce or ad targeting, batch processing...
Log Analysis
The Problem Monitoring systems comprised of multiple services is typically done by monitoring each service individually using it's logs, or on an end to end basis that lacks visibility into the individual performance characteristics of each service. Root cause...
Graph AI
The Problem Pick One. Recent AI research is generating a growing number of graph AI techniques that take advantage of graph data relationships, and the rich context it provides, however production graph data pipelines lack the performance needed to deploy these new...