Introduction to MongoDB Charts MongoDB Charts is a solution to visually represent MongoDB data, offering an intuitive interface for creating, sharing, and embedding visualizations. In
Introduction In the realm of modern data management, choosing the right database system is critical for efficient and effective handling of information. Two prominent contenders
When shopping for an analytics tool, it can be difficult to dissect the pros and cons without diving into a lengthy trial or POC. Here is a high level comparison between two popular enterprise data platforms, Looker and Knowi.
A guide for teams who want to build accurate MongoDB dashboards and enable efficient reporting and analysis of their data for better decision making.
Knowi provides native analytics capability into ElasticSearch that goes beyond what Kibana offers. With Knowi, you can explore add-on benefits like blending across multiple indexes, joining across the same or disparate SQL or NoSQL databases, natural language capabilities for self-service analytics, machine-learning anomaly detection, and more.
Grafana, Kibana, and Knowi are some of the best visualization tools available in the market. In this article, we shall give you a comparison of Grafana vs Kibana vs Knowi so that you can make the correct choice for your log management needs.