Zoomdata v3.7 Overview

Forward-looking organizations are investing in big data, streaming, and other modern data platforms so they can approach problems and opportunities in new ways to make better, faster data-driven decisions. The problem is that business intelligence (BI) systems have traditionally been designed for relatively modest quantities of structured data that is delivered, managed, and analyzed in batch mode. Businesses need innovative visualization and data exploration experiences without having to worry about the heavy load, speed, and variety of modern data now integral to their businesses.

Customers choose Zoomdata because its interactive dashboards, native modern smart data connectors, scalable microservices architecture, and innovations such as Data Sharpening make it the ideal front-end for big data, live streaming data, and multisource analysis.

If you are already familiar with Zoomdata and want to read up on the latest updates, see: Zoomdata Version 3 Release Notes.

For information about hardware and software requirements for Zoomdata, see: System Requirements.

The following diagram gives an overview of the architecture of Zoomdata and its relation to data stores and connectors.