Knowi’s visualization tools are not only useful for internal reporting, but are also capable of presenting dashboards and widgets to external sources. This can be done through a variety of sharing options but one of the most powerful methods is through embedding. In this blog we will explore the benefits of this feature, the various types of embeds, and a simple 8 step tutorial on how to create a basic embedded widget.
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Agentic BI vs Traditional BI: Discover why 90% of executives are moving from static dashboards to AI-powered, proactive analytics. See the difference.
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 Foundation. Community: Elastic controls Elasticsearch; OpenSearch has 400+ orgs & 3,300+ contributors. Performance & AI: Elastic shows faster vendor benchmarks; OpenSearch 3.2 adds “agentic AI” and hybrid search. Features: Elastic …
Elasticsearch vs. OpenSearch: Which one to choose? [Updated 2025] Read More »
TL;DR White Label Embedded Analytics lets SaaS companies add dashboards and reporting that look fully native to their product. Instead of spending 18–24 months and millions building in-house BI, teams can launch in just 2–4 weeks. Benefits include: Faster time-to-market Complete brand control (logos, colors, domains) Higher retention & customer satisfaction New revenue through premium …
White Label Embedded Analytics: Complete Guide for SaaS Companies (2025) Read More »
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 Highlights: – 80% of business users can’t write SQL but need daily insights – AI bridges this gap – Natural language queries let users ask “Show me sales by region” …
What is AI powered Embedded Analytics? Features, Benefits & Top Platforms (2025 Guide) Read More »
A Complete comparison of Cassandra and DynamoDB with features,pricing, performance benchmarks, migration guide, and real use cases
DynamoDB guide 2025: Complete architecture overview, pricing calculator, real use cases from Netflix & Airbnb, limitations, and when to choose MongoDB or Cassandra instead.
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 documents. Beyond the basics ($match, $group, $set, $push, etc.), recent versions – MongoDB 7.0 and 8.0, introduced powerful features like compound wildcard indexes, bitwise operators in aggregation pipelines, approximate percentiles, …
The Best Introduction to MongoDB Query Language (MQL) Read More »
Explore MongoDB Atlas in 2025: compare free, Flex and dedicated pricing, discover new features like vector search and AI‑ready tools, plus a step‑by‑step setup guide.
Learn Apache Cassandra in 2025: architecture, how it works, vs MongoDB comparison, and real-world use cases. Start with our beginner-friendly tutorial
When shopping for an analytics tool, it can be difficult to dissect the pros and cons without diving into a lengthy trial or POC. Here is a high level comparison between two popular enterprise data platforms, Looker and Knowi.
