Knowi Blog
Stay ahead with expert insights on analytics, AI, embedded BI, healthcare data, and the databases that power modern businesses.
Kibana Overview: Features, Pros, Cons and Best Alternative (2026)
Kibana is the go-to visualization layer for Elasticsearch, but it only works with Elasticsearch. See what Kibana does well and where it falls short.
Knowi InstantSights: Natural Language Generation
Knowi’s “InstantSights” empowers you with the ability to present complex data analysis results in simplified and easily understandable plain English insights.
OpenSearch: The Open-Source Search and Analytics suite
OpenSearch is the open-source evolution of Elasticsearch—scalable, secure, and built for search, log analytics, and more. Learn how it works + key use cases.
What Is MySQL? How It Works in 2026
MySQL is an open-source relational database that stores structured data in tables and uses SQL for querying. It powers web applications and SaaS platforms. However,
Choosing the Right Database: Elasticsearch vs. MongoDB
Elasticsearch is a search and analytics engine optimized for full-text search, log analysis, and real-time aggregations. MongoDB is a general-purpose NoSQL database optimized for flexible
IOT Analytics and Reporting – A Comprehensive Guide
The Internet of Things (IoT) has emerged as a revolutionary force, reshaping the way we interact with the world around us. IoT represents the interconnectedness
Choosing the Best Embedded Analytics Tool for Your Needs in 2023
In the dynamic landscape of 2023, businesses are no longer just powered by people; they’re propelled by data. The rise of data-driven decision-making has transformed
MongoDB Charts: What It Is, How It Works, And What It’s Used For
MongoDB Charts is MongoDB’s native visualization tool, built into Atlas, for creating charts and dashboards directly from MongoDB collections. It is best for teams already
SQL Basics: Query Structure and Joins
TL;DR This post gives a beginner-friendly intro to SQL—breaking down basic query structure (SELECT, FROM, WHERE, etc.) and explaining how joins work to combine data
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