What is a real-time data and analytics platform?
Get the ultimate guide to understanding real-time data processing platforms
A real-time data and analytics processing platform simplifies and optimizes data architectures by combining transactional, stream, and analytical processing across data silos into a single 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.
Today, these platforms are also key to ensuring data is AI-ready by allowing companies to extract features, generate vector embeddings and execute AI models in real time for in-transaction analytics. It can also combine the most recent events with enterprise-wide data for RAG-based applications.
This ultimate guide will cover:
- 6 key capabilities included in a real-time data processing platform
- Real-world use cases that support strategic business initiatives
- Comparisons of real-time data platforms to other similar data technologies
If you’re an enterprise that’s serious about getting your data strategy right, get started with all the information you need to ensure you’re building a fast, scalable solution that can grow alongside your business.