Knowi Blog
Stay ahead with expert insights on analytics, AI, embedded BI, healthcare data, and the databases that power modern businesses.
How Do You Build Clinical Operations Dashboards Without a Warehouse? (2026 Guide)
You can build clinical operations dashboards without a data warehouse by connecting directly to EHR databases, FHIR APIs, and operational systems, then joining results in
What Are the Biggest Healthcare Data Management Challenges in 2026?
The biggest healthcare data management challenges in 2026 are interoperability gaps, PHI security, patient identity matching, governance and auditability, unstructured data complexity, and AI deployment
What Is HIPAA-Compliant Analytics?
HIPAA-compliant analytics securely processes PHI using encryption, access controls, audit logging, and BAAs. Learn architecture, AI risks, and deployment models.
Free vs Paid Embedded Analytics: When “Free” Embedded Analytics Becomes Expensive
When free tools exist, what’s the real cost of “free” embedded analytics and when does paying make sense? TL;DR Free Metabase costs $18,000-$48,000/year in hidden
MongoDB Charts vs Metabase vs Knowi: Which Is Best for Embedded Analytics?
Compare MongoDB Charts, Metabase, and Knowi for embedded analytics. Learn which tool works best for customer-facing SaaS dashboards.
Elasticsearch Analytics for Business Users: Beyond Kibana
Business users shouldn’t need to learn KQL to analyze Elasticsearch data. Discover self-service analytics that make Elasticsearch accessible to everyone.
ES|QL LOOKUP JOIN Limitations: What Elastic’s New Join Feature Can’t Do
ES|QL LOOKUP JOIN brings joins to Elasticsearch but with significant constraints. Learn limitations around index size, cross-cluster queries and complex joins.
Elasticsearch Embedded Analytics for SaaS: Kibana vs Dedicated Solutions
Compare Kibana iframe embedding vs dedicated embedded analytics solutions for SaaS. See real differences in multi-tenancy, white-labeling and implementation
Elasticsearch + MySQL Joins Without ETL
Join Elasticsearch with MySQL, PostgreSQL, or any SQL database without ETL pipelines. Learn query-time federation that keeps data in place and always current.
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