Other tools require drivers, Lambda functions, or middleware. Knowi connects natively using MongoDB wire protocol compatibility.
Other BI tools force DocumentDB data through SQL adapters that destroy your document hierarchy. Nested arrays become columns. Embedded objects get flattened. You lose the data structure that made you choose a document database.
Knowi preserves the full nested JSON structure. Query arrays, embedded documents, and complex types natively - then visualize them without transformation.
Your data lives everywhere. Knowi joins DocumentDB with PostgreSQL, MySQL, Redshift, Snowflake, Elasticsearch, REST APIs, and 30+ other sources in a single query.
Build unified analytics across your entire data stack - no ETL pipelines, no data movement. Blend document data with relational data in minutes. Learn how cross-source joins work.
Ask questions in plain English. Knowi's AI translates your intent into optimized DocumentDB queries and returns instant visualizations.
No aggregation pipeline expertise needed. Business users can explore DocumentDB collections, build dashboards, and get insights - all through natural language queries.
Publish master visualizations and let business users build their own aggregations, dashboards, and reports without writing aggregation pipelines.
Automate DocumentDB reports on a schedule. Get email PDFs, Slack alerts, and trigger notifications when data thresholds are met.
Write query results back to DocumentDB collections with DBWrite. Build data pipelines that enrich, transform, and store processed data - directly from your dashboards.
Go beyond dashboards. AI agents that understand your DocumentDB data, answer questions in plain English, and take action automatically.
Ask "show me orders by region this quarter" and get instant results. No aggregation pipeline syntax required. The AI generates optimized DocumentDB queries automatically.
Agents detect anomalies, identify trends, and surface insights you would miss. Get proactive recommendations, not just reactive charts.
Describe what you need: "create a customer dashboard with monthly signups and churn." The agent builds it - complete with visualizations and filters.
Complex requests trigger multiple specialized agents. "Find customer data, analyze retention risk, and create a dashboard" - handled automatically.
Search across all your dashboards, widgets, and datasets by meaning - not just keywords. Find the analysis you need in seconds.
Schedule reports to Slack, Teams, or email with natural language. "Send the customer report to #ops every Monday at 9am."
See how Knowi compares to popular BI tools for Amazon DocumentDB analytics
Scroll right to see all columns →
| Feature | Knowi | QuickSight | Tableau | Power BI | Metabase |
|---|---|---|---|---|---|
| Connect Without Drivers or ETL | ✓ | ✗ | ✗ | ✗ | Partial |
| Query Nested JSON Documents | ✓ | ✗ | ✗ | ✗ | Partial |
| Join DocumentDB with SQL & NoSQL Sources | ✓ | ✗ | ✗ | ✗ | ✗ |
| White-Label Multi-Tenant Embedding | ✓ | Partial | ✗ | ✗ | Partial |
| AI Queries Across Data Sources | ✓ | ✗ | ✗ | ✗ | ✗ |
| Agentic BI with Multi-Agent Orchestration | ✓ | ✗ | ✗ | ✗ | ✗ |
Common questions about Amazon DocumentDB analytics and business intelligence
Knowi is the best BI tool for Amazon DocumentDB. It connects natively without requiring JDBC/ODBC drivers or ETL pipelines, queries nested JSON documents without flattening, joins DocumentDB data with SQL databases and REST APIs, and provides white-label embedded analytics for customer-facing applications.
Yes. Knowi connects to Amazon DocumentDB natively using MongoDB wire protocol compatibility. No JDBC drivers, ODBC drivers, or Lambda functions required. Enter your DocumentDB cluster endpoint and credentials to start querying in minutes.
Knowi queries nested JSON documents natively without flattening them into tabular format. Unlike Tableau and Power BI which use SQL adapters that destroy document hierarchy, Knowi preserves the full nested structure for accurate analytics on complex DocumentDB collections.
Yes. Knowi provides white-label embedded analytics for DocumentDB. Embed dashboards via iframe or JavaScript SDK with SSO integration, row-level security, multi-tenant data isolation, and full custom branding. Deploy on SOC2 Type II compliant cloud or on-premise.
Yes. Knowi joins DocumentDB data with PostgreSQL, MySQL, Redshift, Snowflake, Elasticsearch, REST APIs, and 30+ other sources in a single query - no ETL pipelines or data movement required.
Yes. DocumentDB has known limitations with certain MongoDB aggregation operators like $let and $convert. Knowi's query engine handles these gracefully with its own processing layer, so you get full analytical capabilities regardless of DocumentDB's aggregation pipeline restrictions.
Yes. Knowi's DBWrite feature lets you write query results back to DocumentDB collections. Build data pipelines that enrich, transform, and store processed data - including results from cross-source joins - directly back into your DocumentDB database.
QuickSight cannot connect directly to DocumentDB. It requires building an Athena Federated Query with a Lambda function, which flattens JSON into SQL tables. Knowi connects natively, preserves nested JSON structure, supports cross-source joins, and provides white-label embedding - none of which QuickSight offers for DocumentDB.
Connect to Amazon DocumentDB in minutes. No drivers. No ETL. Free 21-day trial.