A Unified Real-Time Data Platform seamlessly combines data in-motion and data at-rest with compute functionality to enable enterprises to handle complex analytical, streaming, and transactional data workloads at ultra-low latencies.
A Unified Real-Time Data Platform simplifies and optimizes data architectures by combining transactional, stream, and analytical processing across data silos into a single “unified” platform.
The platform delivers ultra-low latencies with horizontal scalability, strong security, and disk-based durability, and does so across disparate, diverse, and distributed data sources.
This eBook provides an overview of a Unified Real-Time Data Platform, its key components, and use cases for which this architectural approach is most relevant.
Key takeaways include:
- A deeper understanding of what a Unified Real-Time Data Platform is
- A look at use cases that are addressed by a Unified Real-Time Data Platform
- How a Unified Real-Time Data Platform compares to other data architectures