Companies like General Motors, Plume, and Xignite are leveraging YugabyteDB for real-time event streaming, making swift decisions and driving revenue growth. This powerful tool provides scale, throughput, and geo-distribution, addressing the unique challenges of various complex use cases efficiently.
Transforming the way decisions are made, real-time event streaming instantly turns data into new opportunities. By utilizing YugabyteDB to manage diverse streaming data, companies have the ability to not only capture and store real-time data but also analyze it to enhance customer interaction and make quick, knowledgeable choices. This approach effectively overcomes the hurdles posed by conventional databases, offering a dependable solution for managing and analyzing data in real time.
Yugabyte helps Fortune 500 companies modernize their systems of record, which are integral to the web-based interactions of their customers. These systems require accuracy, consistency, and resiliency. Strategies like replication and sharding help maintain high availability in a cloud native world.
During a massive Texas snowstorm, a power failure affected millions of homes, businesses, and even one of our largest retail customer’s data centers. Despite the widespread chaos, they managed to maintain application availability thanks to YugabyteDB’s geo-distributed cluster, a solution we’ll explore in this blog post.
Discover how a Yugabyte telecom customer transformed their operations by transitioning to YugabyteDB, a modern, cloud-native, distributed SQL database. The shift to a highly scalable and resilient data layer allowed them to lead the telecom services sector, meeting evolving customer demands in the dynamic digital landscape.
Nikhil Mahawar with Mindgate discusses the challenges this fintech faced with their legacy RDBMS systems and how migrating to YugabyteDB improved scalability, performance, and reliability, enabling them to achieve their growth objectives. He highlights the benefits of YugabyteDB, including low-latency reads, high-throughput writes, automatic sharding, and support for SQL and NoSQL.
In a recent interview, Amit Patel, Principal Architect at Comcast, discussed the challenges of managing global data distribution with legacy databases, and how the company evaluates new technologies like distributed SQL to support modern workloads that align with their business goals and objectives.
Marc Hansen, a systems engineer at Fiserv, recently sat down to discuss his role at this top global fintech and payments company, where he works with both DBaaS and traditional databases. During the conversation, he discussed how cloud technologies, PostgreSQL compatibility, and automation impact how DBAs approach disaster recovery, observability, and database deployment.
Prioritizing Security, Stability, and Client Satisfaction: Insight from Fiserv’s VP and Fellow Architect
Dimitri Farafonov, VP and Fellow Architect at Fiserv, recently sat down to discuss his role at this top global fintech and payments company. During the conversation, he discussed the priorities that guide Fiserv’s database selection process, along with the complexities involved in working to achieve low latency, data consistency, and massive bi-directional scalability, which are critical to Fiserv’s operations.
Jay Duraisamy, the SVP of Technology for Data and Analytics at Fiserv, sat down with us to discuss how Fiserv is unlocking the value of their data and providing new services for both merchants and consumers by bringing together data and analytics on one platform.