11 Nov RevTrax Propels Offer Management Platform With DataStax
DataStax Delivers Zero Downtime, Durability, and 10x Performance for RevTrax
SANTA CLARA, Calif.–(BUSINESS WIRE)–DataStax, the company behind the leading database built on Apache Cassandra™, today announced that RevTrax, an AI-based offer/discount management platform, selected DataStax to power its data in the cloud and meet its goal of zero downtime for customers.
Click to Tweet: “The main reason we selected DataStax—built on Cassandra—was the uptime and also the linear scale,” said Greg Hansen @RevTrax. Read all about their @DataStax success story http://bit.ly/revtraxcasestudy. #cloud #data #AI #database #ZeroDowntime
The RevTrax Offer Management Platform leverages DataStax Enterprise as the database of choice for its AI-based Platform that serves promotional direct-to-consumer (D2C) brands. The RevTrax platform makes it easier for companies to run smarter offers by serving dynamic discounts to unique buyers based on their individual level of price sensitivity. This AI-driven feature enables brands to earn a higher return on investment (ROI) from their marketing efforts. RevTrax operates in a multi-data center environment and they needed a database that could provide guaranteed uptime and seamless scaling.
With DataStax, RevTrax is able to significantly reduce the risk of downtime to meet their ultimate goal of zero downtime, provide full flexibility to do data center maintenance whenever and however needed, and provide durability with no single point of failure.
“The main reason we selected DataStax—built on Cassandra—was the uptime and also the linear scale,” said Greg Hansen, RevTrax Chief Technology Officer and co-founder. “The big thing that caught my eye, besides the performance, was DataStax’s durability. I can have multiple databases, clusters, and data centers spread out all over the world and not worry about any single point of failure. That’s what really sold me and has us happy with DataStax.”
The RevTrax Offer Management Platform provides its customers with the ability to deliver real-time promotional offers and discounts based on predictive analytics algorithms. This means that consumers are served offers in real time, and more importantly, the moment it matters most.
“If you’re making a consumer wait even a couple of seconds to render something on the page, that’s too long,” Hansen said. ”Now we get far better performance, call it up to 10 times what we used to get with MySQL.”
“Confidence that you can deliver on today’s customer experience demands is a huge differentiator in the market, and we’re proud to work with RevTrax to help them do just that with zero downtime,” said Cate Lochead, CMO at DataStax.
To learn more about the RevTrax and DataStax success story, please join our webinar on November 14, 2019 at 11:00 a.m. PT.
Register today to secure your spot here.
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RevTrax enables brands to deliver smarter offers. The RevTrax Offer Management Platform empowers brands to deploy offers across channels, track the performance, and connect insights to decisions that save money and drive more value from their existing marketing efforts. With a robust portfolio of 6 patents relating to offer security, the RevTrax Offer Management Platform brings control back into the hands of the marketer. Founded in 2008, RevTrax has been rated as one of Crain’s Top 100 Best Places to Work in New York City.
DataStax helps companies compete in a rapidly changing world where expectations are high and new innovations happen daily. DataStax is an experienced partner in on-premises, hybrid, and multi-cloud deployments and offers a suite of distributed data management products and cloud services. We make it easy for enterprises to deliver killer apps that crush the competition.
More than 400 of the world’s leading enterprises including Capital One, Cisco, Comcast, Delta Airlines, eBay, Macy’s, McDonald’s, Safeway, Sony, and Walmart use DataStax to build modern applications that can be deployed across any cloud. For more information, visit www.DataStax.com and follow us on Twitter @DataStax.
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