Knowledge Center
Find what you need - guides, comparisons, case studies, and industry solutions.
Blog
Tutorials, deep dives, and practical guides on embedded analytics, Elasticsearch, AI, and data strategy.
Whitepapers & E-books
In-depth research on direct-connect analytics, embedded BI architecture, and Private AI deployment.
Customer Stories
How teams in IoT, media, enterprise analytics, and SaaS use Knowi to solve real data problems.
Industry Solutions
Analytics tailored for healthcare, IoT, banking, SaaS, manufacturing, retail, and more.
Healthcare
IoT
SaaS
Banking
News & Updates
Product updates, press releases, and company announcements.
Documentation
API references, setup guides, connector docs, and configuration for Knowi's platform.
Platform Comparisons
See how Knowi stacks up feature-by-feature with other platforms.
VS Looker
VS Tableau
VS Power
BI
VS
ThoughtSpot
Frequently Asked Questions
What databases does Knowi connect to?
Knowi natively connects to 30+ data sources including MongoDB, Elasticsearch, Cassandra, DynamoDB, InfluxDB, Couchbase, REST APIs, GraphQL, and all major SQL databases (PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake, Redshift). No ODBC drivers, ETL pipelines, or data warehouse required.
Can Knowi join data from different databases in one query?
Yes. Knowi queries each data source natively and joins the results at query time. For example, you can join MongoDB customer records with Elasticsearch log data and Salesforce API results in a single query without moving data to a warehouse.
What is Private AI in Knowi?
Private AI is Knowi's on-premises AI engine that processes all queries inside your infrastructure. No data is sent to external LLMs or cloud AI services. It supports natural language querying on unmodeled data and Document AI for querying PDFs and Word files.
Does Knowi require a data warehouse?
No. Knowi queries databases directly where the data lives. You can optionally use a warehouse if you have one, but it is not required. This eliminates ETL pipeline maintenance and gives you real-time access to source data.
How does embedded analytics work in Knowi?
Knowi offers three embedding methods: iframe embedding, URL-based embedding, and component embedding. All support white-labeling, multi-tenancy with row-level security, and do not depend on third-party cookies. Read the complete guide.
What is Agentic BI?
Agentic BI is a new approach where AI agents autonomously investigate data, follow analytical threads, and surface insights without manual query building. Learn how it works.
Unify. Analyze. Act.
AI-powered analytics across every data source. No warehouse required.