Sisense offers powerful embedded analytics and high-performance dashboards—but is it built for today’s AI-native, hybrid data world? In this review, we break down where Sisense shines, where it falls short, and how it compares to modern alternatives like 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.
Is MongoDB good for analytics? Here we show how to get SQL-level analytics on your NoSQL MongoDB database.
This blog post provides a guide to building Elasticsearch queries. It also talks about some of Knowi’s key features/support for Elasticsearch queries.
Choosing the right database is crucial for scaling modern applications. This in-depth comparison breaks down MongoDB vs. PostgreSQL across data models, performance, scalability, and real-world use cases—plus how you can query both using plain English with Knowi’s AI-powered analytics.
Is Sigma the right BI tool for your team? Discover its pros, cons, and ideal use cases in this in-depth review.
In this ultimate 2025 review, we break down who Power BI is right for, what it does best, and where it falls short—based on expert consensus and real-world use.
Explore top ElasticSearch reporting tools—Kibana, Knowi, and Grafana—and see how they compare on integration, analytics, ML, and real-time insights.
A2A and MCP are AI Agent protocols key to building scalable AI agents—A2A enables agent communication, while MCP connects them to real-world tools and data systems.
Discover what AI agents can do, how they’re transforming BI and analytics, and the key trends driving their adoption across modern enterprises.
