The Ultimate Guide to Real-Time Data Processing Platforms

For streaming, transactional, analytical and AI workloads

A Real-Time Data 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 eBook will provide:

• A deeper understanding of what a Real-Time Data Processing Platform is
• A look at use cases that are addressed by a Real-Time Data Processing Platform
• How a Real-Time Data Processing Platform compares to other data architectures