VoltDB Customers List: FAQs
What is VoltDB?
VoltDB is a distributed in-memory database management system designed for modern, data-intensive applications that require extreme data processing speed, consistency, and availability. It is known for its ability to handle high-velocity data and provide real-time analytics and decision making capabilities.
Who uses VoltDB?
VoltDB is used by a wide range of organizations, including financial services firms, telecommunications providers, IoT companies, gaming companies, and more. Its customers come from diverse industries and utilize VoltDB for a variety of use cases, such as fraud detection, real-time recommendation engines, and operational analytics.
Which companies use VoltDB?
Some of the well-known companies that use VoltDB include Comcast, Experian, Ericsson, Huawei, and Redhat. These organizations have chosen VoltDB for its ability to handle large volumes of data and deliver fast, reliable, and consistent data processing capabilities.
What industries is VoltDB most popular in?
VoltDB is particularly popular in industries that require real-time data processing and analytics, such as financial services, telecommunications, gaming, and IoT. These industries often have high-velocity data streams and need to make rapid decisions based on that data, which aligns well with VoltDB's capabilities.
What are some popular alternatives to VoltDB?
Some of the popular alternatives to VoltDB include Apache Cassandra, Redis, and MemSQL. These databases also offer in-memory or distributed data processing capabilities, but they may differ in terms of their specific features, performance characteristics, and use cases.
What is to be expected from VoltDB's customer list?
By leveraging VoltDB's customer list, you can expect to connect with a diverse range of organizations that rely on VoltDB's advanced data processing capabilities. These customers come from various industries and use VoltDB for a wide variety of use cases, providing a valuable resource for understanding how VoltDB can be applied to solve real-world data challenges.
The numbers above are continuously changed. For the latest numbers, feel free to contact our team.
