Materialize for Logistics
Simplify your tech stack for streaming data analytics and applications with the Cloud Operational Data Store.
Real-time Delivery Tracking
Build the customer facing applications that were too expensive or complicated to deliver before.
Anomaly Detection
Find and address problems with delivery in real-time without the burden of creating your own streaming tech stack.
Real-time Notifications
Want to know when something changes? Materialize was built to deliver seamless alerts with SQL.
Real-time Delivery Notifications With Onward
THE CHALLENGE
Onward needed a way to serve real-time delivery status in customer-facing UI and notifications. After choosing Materialize, they went from zero to fully operational in less than two weeks of work.
THE RESULTS
Today, Materialize is joining and transforming real-time delivery and customer data, and serving results to a reactive UI that updates using real-time subscriptions.
2 Weeks worth of work was required to go from first conversation about Materialize to customer-facing location tracking.
How Materialize Delivers Real-time for Logistics
Deliver Real-time With a Small Team
Materialize is an easy-to-implement cloud platform that integrates seamlessly with your existing operational infrastructure to deliver data for operational work. Data teams as small as a single person can implement Materialize in a fraction of the time and at a fraction of the cost of custom streaming solutions.
Scale to Match Demand
Respond to changing demand and rush periods by scaling up in an instant… but don’t worry, you only pay for what you use.
Trust Your Analytics and Applications
Use Materialize’s legendary consistency to ensure your analytics and applications are always correct.
“Our data team was serving real-time delivery status and location analytics to customers with two weeks of work and minimal ongoing maintenance.”
Clayton Von Hovel Data Engineer, Onward Delivery
Simplify and Deliver Real-time with Materialize
Get started with the Cloud Operational Data Store today