Knowi Blog
Stay ahead with expert insights on analytics, AI, embedded BI, healthcare data, and the databases that power modern businesses.
Metabase Alternatives in 2026: 7 Tools Worth Considering
The most commonly evaluated Metabase alternatives in 2026 are Knowi, Tableau, Power BI, Looker Studio, Sisense, Apache Superset, and ThoughtSpot. Metabase works well for internal SQL dashboards,
Power BI Alternatives in 2026: 7 Tools Worth Considering
The most commonly evaluated Power BI alternatives in 2026 are Tableau, Looker, Knowi, Metabase, Sisense, ThoughtSpot, and Looker Studio. Each addresses a different gap: Power BI’s
Looker Alternatives in 2026: 6 Tools Worth Considering
The most commonly evaluated Looker Studio alternatives in 2026 are Tableau, Power BI, Metabase, Knowi, Sisense and ThoughtSpoT. Looker Studio’s core limitations are limited row-level security (reliant
Best BI Tool for MongoDB in 2026: 7 Options Compared
Common BI tools used for MongoDB analytics in 2026 include Knowi, MongoDB Charts, Metabase, Grafana, Tableau, Power BI, and Apache Superset, each with different trade-offs in query
Best Embedded Analytics Tools
Embedded Analytics is a must-have. Explore top embedded analytics tools (2025), Tableau, Knowi, Power BI, Domo, Qlik, Looker and their latest features.
Agentic BI in Slack: Run Analytics with /knowi Command | Knowi
Run your entire BI workflow inside Slack using /knowi. Query data, create dashboards, set alerts, and schedule reports with AI, no switching tools needed.
Is MongoDB HIPAA Compliant? Analytics on MongoDB PHI Data
MongoDB can be used in a HIPAA-compliant environment when deployed on MongoDB Atlas with a signed Business Associate Agreement, proper encryption, access controls, and audit
How We Automated Trial Follow-Ups with AI Agents without touching CRM
Automate personalized trial follow-ups using AI agents. Learn how Knowi MCP connects to live data to draft emails and schedule follow-ups, without manual work.
IoT Analytics for Healthcare: Use Cases, Architecture and HIPAA
IoT analytics for healthcare is the process of collecting, storing, and analyzing continuous data streams from connected medical devices, including patient monitors, wearables, infusion pumps,
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