Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
Learn MoreClose-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
Learn MoreScyllaDB is purpose-built for data-intensive apps that require high throughput & predictable low latency.
Learn MoreLevel up your skills with our free NoSQL database courses.
Take a CourseOur blog keeps you up to date with recent news about the ScyllaDB NoSQL database and related technologies, success stories and developer how-tos.
Read MoreNear real-time data pipelines in the Telecommunication industry need to collect data from multiple source operational systems and transform them into an accessible unified data model. There is a dramatic increase in data volume, speed, and types of data and an increasing demand to minimize the lag of having the data available for Operation and Analytical data stores on the cloud. Amdocs' data pipelines process and transform billions of mobile subscriber events every day. Enabling this type of transformation requires a reliable DB engine that provides consistent low latency response time with high throughput to serve as data cache. In this talk, I'll provide a quick overview of the unique transformation process and the process for selecting our target architecture. I’ll review the considerations for the selection of our cache DB as well as the obstacles we had to overcome in the process. I will also share the benefits of the selection, and detail how we successfully integrated ScyllaDB into our Data Management platform.
Apache® and Apache Cassandra® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Amazon DynamoDB® and Dynamo Accelerator® are trademarks of Amazon.com, Inc. No endorsements by The Apache Software Foundation or Amazon.com, Inc. are implied by the use of these marks.