Category: Streaming Data

The Importance of using a Comprehensive SQL Data Management Platform for Stateful Stream Processing

Stream Processing Comparison Blog
Here at VoltDB we have been stressing the importance of utilizing a in-memory data management platform for stateful stream processing as a trend for the future. It seems that now, with the evolution of the 5G era, the market is finally ready for this functionality. New Messaging in the Marketplace: How it Falls Short Vendors [...]

5 Key Questions from our webinar, “Is Your Data Architecture Ready for Microservices?”

VoltDB pre-recorded webinar blog

At our recent webinar, “Is Your Data Architecture Ready for Microservices?”, we received a number of questions from attendees about VoltDB and how it works. From integrating VoltDB with Kafka to running VoltDB in a container, here’s a recap on the FAQs asked during the webinar. For those who missed the webinar, you may view […]

3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream Processing

Stream Processing with VoltDB
Traditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm, Apache Flink, etc.) work fine for a bunch of simple use cases where there is a need for simple decisions, speed, scale and stability. However, for most real-life business scenarios in industries such as finance, [...]

VoltDB Announces v9.0

VoltDB Announced v9.0 with Stream Processing
We are hard at work on VoltDB and are pleased to release V9. This release focuses on new ways to work with the torrents of streaming data that VoltDB can ingest, making VoltDB the best technology for real-time intelligent decisions on streaming data. We also improved usability, resilience, and security, because we know that the [...]

Are Your Policy & Charging Systems Ready to Monetize 5G?

As 5G architectures are getting rolled-out, we are seeing a spike in RFPs from the largest mobile operators. The CSPs we are talking to across the globe are racing to modernize their Policy and Charging Rules Function (PCRF) systems with the end goal of monetizing the new revenue opportunities that network slicing delivers. Our 5G [...]

Scalable MicroService Architecture

microservices database architecture blog
Application State Management and Data-Driven Decision Making As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. This gave rise to the need for [...]

Extracting Value from Insights in “The Last Mile”

transactional insights in the last mile with VoltDB
Recently, I read the McKinsey article “Breaking away: The secrets to scaling analytics.” The article discussed their findings on the importance of analytics to a company’s success. Unsurprisingly, they found that the most successful companies spend more money and effort on analytics, specifically embedded analytics. Two thirds of what they deemed “breakaway companies” spent at [...]

Six Use Cases for Real-Time Decisioning

Real-Time Decisioning Blog Header
This week published a new ebook focusing on six examples of VoltDB being utilized for real-time decisioning by our customers. It highlights ways that VoltDB is being used to: Levearge machine learning for real-time fraud prevention Transform personalization in media and gaming Revolutionize telco real-time infrastructure in conjunction with 5G Establish a single-source-of-truth in financial [...]

Data Strategies for 5G – A Closer Look at Policy Rules and Charging

5G Use Cases

Editor’s Note: This was originally posted by VanillaPlus, regarding a webinar VanillaPlus hosted featuring Beccham Research and VoltDB. With the ever-nearing move to 5G and the impending explosion of industrial IoT use cases, data is going to play a very important role in the quality of service assurance, know your customer (KYC) and security. With […]

What Real-Time Application Pattern Works for You?

3 common real-time application patterns that require a real-time decision Editor’s note: This blog post first appeared on the InfoWorld blog on September 29, 2017. At first glance, building a real-time application may sound like a daunting proposition, one that involves technical challenges as well as a significant financial investment, especially when you have an […]

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