Real-Time vs Batch analytics

Real-time analytics, sometimes referred to as streaming analytics or real-time data analytics, is the practice of gathering, processing, and evaluating data as it is generated, with the least amount of latency or delay possible. Real-time analytics offers insights and actionable information nearly instantly after data is created or ingested, in contrast to typical batch processing, which gathers and analyzes data at predetermined intervals. In a variety of fields and applications where prompt decision-making is essential, this talent is very beneficial.

Batch analytics involves collecting, processing, and analyzing data in large chunks at scheduled intervals rather than in real time. Unlike real-time analytics, which provides immediate insights, batch analytics aggregates data over a set period, enabling comprehensive analysis at regular refresh points. While batch processing may introduce some delay, it is highly effective for handling large volumes of data, offering in-depth insights and trends that help with long-term decision-making and strategic planning across various industries.

What can Grafieks do?

Grafieks enables users to analyze both batch and real-time data seamlessly. Users can establish connections to their databases using live or real-time connector , providing flexibility to suit their specific analytical needs.