Real-Time vs Batch analytics

Real-time data analytics, sometimes referred to as streaming 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 data analytics involves collecting, processing, and analyzing data in large chunks at scheduled intervals rather than in real time. Unlike real-time data 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.