Knowi Blog
Stay ahead with expert insights on analytics, AI, embedded BI, healthcare data, and the databases that power modern businesses.
Setting Up Trino on AWS: Complete Deployment Guide with Knowi Integration
Deploy Trino on AWS using EC2, EMR, or EKS with full production-grade security, monitoring, and Knowi integration.
Trino Docker Setup Guide: Connect PostgreSQL, MySQL & Run Queries
Set up Trino with Docker to query PostgreSQL and MySQL in minutes with this step-by-step guide and visualize results in Knowi.
Real Time Analytics: Eliminate BI Bottlenecks & Get Instant Insights
Real time analytics eliminates 4.8-day dashboard delays. Get instant insights from big data, streaming analytics, and live BI reporting. See how
Agentic BI vs Traditional BI: What’s Different?
Agentic BI vs Traditional BI: Discover why 90% of executives are moving from static dashboards to AI-powered, proactive analytics. See the difference.
Elasticsearch vs. OpenSearch: Which one to choose? [Updated 2025]
TL;DR Elasticsearch and OpenSearch, once nearly identical, have taken very different paths. Licensing: Elasticsearch added AGPLv3 in 2024; OpenSearch stays Apache 2.0 under the Linux
What is AI powered Embedded Analytics? Features, Benefits & Top Platforms (Updated 2026 Guide)
TL;DR AI powered embedded analytics transforms how businesses consume data by enabling natural language queries, automated anomaly detection, and predictive insights directly within applications. Key
Cassandra vs DynamoDB (2025): Complete Guide with Pricing, Performance, Usecase & Migration Tips
A Complete comparison of Cassandra and DynamoDB with features,pricing, performance benchmarks, migration guide, and real use cases
Amazon DynamoDB Complete Guide 2025: Architecture, Pricing, Use Cases & Alternatives
DynamoDB guide 2025: Complete architecture overview, pricing calculator, real use cases from Netflix & Airbnb, limitations, and when to choose MongoDB or Cassandra instead.
The Best Introduction to MongoDB Query Language (MQL)
TL;DR MongoDB Query Language (MQL) is the backbone of querying, updating, and aggregating data in MongoDB. It allows flexible retrieval, transformation, and modification of JSON-like
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