How to Embed MongoDB Dashboards in Your App
This tutorial covers embedding MongoDB Charts dashboards into your web application, providing interactive data visualizations for your users.
This tutorial covers embedding MongoDB Charts dashboards into your web application, providing interactive data visualizations for your users.
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 a virtual query layer. This eliminates ETL pipelines, reduces PHI duplication, and enables real-time, HIPAA-compliant dashboards. For more examples, see healthcare analytics dashboard examples. Quick Summary (TL;DR) Clinical operations dashboards …
How Do You Build Clinical Operations Dashboards Without a Warehouse? (2026 Guide) Read More »
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 risk. Regulatory pressure from Trusted Exchange Framework and Common Agreement (TEFCA), information blocking enforcement under the 21st Century Cures Act, and Health Insurance Portability and Accountability Act (HIPAA) compliance makes …
What Are the Biggest Healthcare Data Management Challenges in 2026? Read More »
HIPAA-compliant analytics securely processes PHI using encryption, access controls, audit logging, and BAAs. Learn architecture, AI risks, and deployment models.
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 engineering time (setup, maintenance, security patches). At 50+ customers, DIY multi-tenancy becomes a security liability. Paid options (Metabase Pro at $500/mo or alternatives like Knowi) are often cheaper than “free” …
Free vs Paid Embedded Analytics: When “Free” Embedded Analytics Becomes Expensive Read More »
Compare MongoDB Charts, Metabase, and Knowi for embedded analytics. Learn which tool works best for customer-facing SaaS dashboards.
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 brings joins to Elasticsearch but with significant constraints. Learn limitations around index size, cross-cluster queries and complex joins.
Compare Kibana iframe embedding vs dedicated embedded analytics solutions for SaaS. See real differences in multi-tenancy, white-labeling and implementation
Join Elasticsearch with MySQL, PostgreSQL, or any SQL database without ETL pipelines. Learn query-time federation that keeps data in place and always current.