This lightning talk will highlight two approaches to real-time entity resolution on streaming data using the Quine streaming graph.
The Power of Real-Time Entity Resolution with Ryan Wright
read more
Quine
Stop Querying Your Data
At the 2023 Knowledge Graph Conference in New York, Ryan Wright, CEO and Founder of thatDot, gave a presentation entitled: Streaming Graphs: Because We Cannot Afford to Query Anymore. Quine streaming graph can process millions of complex, multi-hop graph events per second. But what design decisions and tradeoffs went into making this possible? And why does it matter to data engineers and their day-to-day? Learn how Quine integrates with your event streaming pipeline (including Apache Kafka,...
Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest
Streaming Graph Analytics, and what it does. In this article on Venturebeat, George Anadiotis discusses the power of Quine, the increasing interest in the concept of streaming graph, and the influx of thatDot funding from cybersecurity leader Crowdstrike. "What do you get when you combine two of the most up-and-coming paradigms in data processing — streaming and graphs? Likely a potential game-changer, at least that’s what is being hinted at by the likes of DARPA and now...
Quine Aims to Simplify Event Processing on Data in Motion
On InfoQ, Sergio De Simone talks about the advantages of the streaming graph style of data processing, and of Quine open source software in particular. "What sets Quine apart from other stream processing solutions, says thatDot, is a set of three design choices that lie at its foundations: a graph-structured data model, an asynchronous actor-based graph computational model, and standing queries." Check out "Quine Aims to Simplify Event Processing on Data in Motion" on InfoQ to learn...
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 time-windows of in-memory data and miss out on the bigger picture,” said Ryan Wright, the creator of Quine and founder/CEO of thatDot. “Quine can transform months of tedious data engineering into an afternoon’s work enabling data pipeline...
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 pipelines. "It can eliminate batch processing, multi-level joins, and other time-consuming and outdated processes that drag down and stall analysis on streaming data. This way, data pipeline engineering teams can easily interpret...
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 all sit between,” Quine’s creator and thatDot CEO and co-founder Ryan Wright told me. “On one side, there’s huge volumes of data. For the last 10 years, big data has just become de rigueur, it’s a normal ordinary thing...
Monitoring Quine Streaming Graph using Grafana + InfluxDB
Monitoring tools like Grafana work well with Quine but there are a few things to keep in mind when monitoring data in motion.
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.
Create a Quine Icon Library with Python
Add some flair to your Quine streaming graph visualizations while learning about the API at the same time.
Quine’s Real-time Temporal Event Sequencing Produces New Insights
Quine’s standing queries, idFrom + deterministic labelling can be use to efficiently create any subgraph you need (e.g. sequence based) in real time. This makes alerts more timely and root cause analysis more efficient.
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.
Why Digital Twins Need to Go Real Time
For digital twins to be truly useful in business operations, they must be able to drive actions and do so the instant an issue emerges, perhaps even beforehand.
Scaling Quine Streaming Graph to Process 1 Million Events/Second
Learn how Quine achieves groundbreaking performance for real-time complex event processing and how you can reproduce the results.
Streaming Graph ETL: Real-time Video Observability Simplified
Real-time video observability presents a number of data engineering challenges that graph ETL can solve.
Are You Ready for Low and Slow Auth Attacks?
Quine streaming graph detects hard to find password spraying attacks for IAM providers and enterprises alike.
Save Big on SIEM Storage Costs Using Quine’s Semantic ETL
Quine reduces Splunk and New Relic costs by evaluating data as it arrives and making choices to store or discard based on the value of the data.
Drive Streaming Event Workflows with Standing Queries
Standing queries let you embed business logic in your real-time graph analytics workstream.
Quine Streaming Graph 1.3.0: Focus on Usability, Query Performance
Quine 1.3.0 is out and includes features, recipes, and documentation all aimed at improved streaming graph usability.
Building a Quine Streaming Graph: Ingest Streams
Part one in a series connecting different data producers to Quine streaming graph. Use Cypher to create ingest queries (ETL).
Time Series Streaming Graph and other Quine 1.2.0 Highlights
Quine 1.2.0 release sees significant new features, recipes, and performance enhancements.
Key Concepts to Help You Get Started With Streaming Graph
Advice and key concepts about Quine streaming graph that will accelerate your development.
The Evolution To Streaming Graph from Graph Databases
When it comes to event-driven applications, graph database users require a new approach: streaming graph.
Let’s Talk Streaming Graph! (with demo)
Ryan Wright (CEO of thatDot) joins Joe Reis and Matt Housley on the TGIF! Let’s Talk Data live show to chat about streaming graphs.
Recipe for Streaming Graph Success
Quine Recipes make it dead easy to connect to your real-time event streams and turn them into stateful streaming graphs
The Three D’s of Graph Data
Draw Connections, Define Data, Drill Down