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How Does Data Locality Affect Real-Time Streaming Applications?
Companies need to be nimble. With the rapid pace of change we experience today, quarterly — or even annual — planning doesn’t cut it. Competitive organizations need the ability to adjust by the day, hour, and even minute and second to accommodate market shifts. Data...Recent Posts
How Does Data Locality Affect Real-Time Streaming Applications?
Companies need to be nimble. With the rapid pace of change we experience today, quarterly — or even annual —...
How to Achieve Real-Time Insights for Fraud Detection
As the volume of global digital activity and financial transactions continues to grow, instances of fraud have become more prevalent...
How Itron Drives the Future of Smart Power Grids
Smart electrical meters, smart cars, smart cities — the smart power grid has never been in higher demand. The global...
Streaming Data has an Application Problem
“Data streaming is a requirement to create the real-time digital experiences and efficient operations that are needed to compete and...
The State of Streaming Data
The application layer will be the next domino to fall in the ongoing transformation from batch to streaming. And one...
Nstream Cloud PaaS: The Fastest Way to Build Full-Stack Applications with Streaming Data
Nstream Cloud PaaS is the Fastest Way to Build Full-stack Applications with Streaming Data; Early Access Now Open to Developers...
Introducing Nstream: Complete the Data Pipeline with Streaming Applications
Welcome to the evolution of streaming data. Nstream, formerly known as Swim, is ushering in a new era with its...
Welcome to the Evolution: Nstream
Nstream delivers the fastest way to build full-stack, open-source streaming data applications. Keep watching to better understand how to operate...
Turning Real-Time Streaming Data Into Financial Security for Your Customers
Nstream enables financial services organizations to build open-source, full-stack applications directly on top of streaming data, providing real-time insights that...
How Real-Time Streaming Applications Keep Shoppers Happy — And Ready to Spend More
Nstream enables retail organizations to build open-source, full-stack applications directly on top of streaming data, providing real-time insights that organizations...
Streaming Applications: The Key to Transparent, Resilient Logistics and Supply Chain Systems
Nstream enables logistics and supply chain organizations to build open-source, full-stack applications directly on top of streaming data, providing real-time...
Nstream: The Fastest Way to Create Streaming Applications from Streaming Data
Nstream enables organizations to build open-source, full-stack applications directly on top of streaming data, providing real-time insights that organizations can...
Full-Context Business Logic at Half-Ping Latency
A look at Stateful Objects. Hear from Fred Patton, Nstream Developer Evangelist, as he covers how stateful objects sit on...
Real-time Observability of Everything You Care About
A look at Streaming APIs. Hear from Fred Patton, Nstream Developer Evangelist, that polling is poison and how Nstream’s first-class...
Adaptive Visualizations to Keep Humans in the Loop
A look at Real-Time UIs. Hear from Fred Patton, Nstream’s Developer Evangelist, as he speaks to the direct connection between...
Akka vs Swim: The Key Differences
The Swim platform simplifies the development and maintenance of real-time streaming applications. Akka gives developers the opportunity to easily create...
Using a Kafka Broker to Build Real-time Streaming Applications
Many organizations that practice stream processing utilize Kafka brokers, the storage layer servers that are used to host Kafka topics....
What is Contextual Data? And, How is it Evolving?
Imagine you’re a credit card company and a charge comes in. All you know is that this charge is larger...
Web Agents: The Future of Digital Twins and Streaming Data
Web Agents are the key to fulfilling the promise of digital twins: real-time observability at scale to drive smarter decision-making....
Stateful vs. Stateless Microservices: What’s the Difference?
Microservices are the backbone of modern applications. They help businesses increase the speed of software development, seamlessly adopt new technologies...
What are Digital Twins? And What’s the Next Evolution?
Simply defined, digital twins are virtual representations of physical objects. Whether duplicating a machine (like how every Tesla has a...
The Key Differences Between Streaming APIs and REST APIs
Databases are where real-time data streams go to die. They are a dam in the stream, preventing vital, real-time information...
The Business Value of a Real-time User Interface
Latency is an issue that would upset a gamer playing online or frustrate a movie-watcher choosing between films. Unfortunately, it...
What are Real-Time Streaming Applications, and Why Do They Matter?
Whether database, distributed, web, or mobile, all applications are built around a core set of underlying technological capabilities. Notably absent...
Let Event Streams Auto-Build Your Dataflow Pipeline
Brokers don’t run applications – they are a buffer between the real world and an application that analyzes events. An...
Analyze Kafka Events On-The-Fly
Swim enhances the actor model to support continuous analysis of streaming data from millions of sources in a distributed runtime...
A Quick Note on Continuous Analysis
Analyzing data on the fly is tricky: Data sets are unbounded and real-time responses demand fast analysis. Incremental algorithms can...
Forget Data – It’s State That Matters
Streaming data contains events that are updates to the states of applications, devices, or infrastructure. When choosing an architecture to...
Brokers Aren’t Databases
The rise of event streaming as a new class of enterprise data that demands continuous analysis is uncontroversial. What’s puzzling...