Amazon DocumentDB Analytics & BI Tool

Native DocumentDB analytics - no drivers, no ETL. Query nested JSON documents, join with SQL databases, and embed dashboards in your application.

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Amazon DocumentDB analytics dashboard with AI search, KPI cards, and trend visualizations

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Connect to DocumentDB in Minutes, Not Hours

Other tools require drivers, Lambda functions, or middleware. Knowi connects natively using MongoDB wire protocol compatibility.

With Knowi

  1. Enter your DocumentDB cluster endpoint
  2. Add your database credentials
  3. Start building dashboards
Setup time: ~2 minutes

With Other BI Tools

  1. Download and install JDBC/ODBC driver
  2. Configure SSH tunnel to VPC
  3. Set up Athena federation or Lambda connector
  4. Map document schema to SQL tables
  5. Flatten nested JSON structures
  6. Debug connection timeout issues
Setup time: hours to days

Query Nested JSON Documents Without Flattening

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.

Native nested JSON document analytics on Amazon DocumentDB

Join DocumentDB with PostgreSQL, Redshift & REST APIs

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.

Cross-database joins between DocumentDB, PostgreSQL, and REST API data sources

AI-Powered Analytics on Amazon DocumentDB

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.

AI-powered Knowi dashboard with natural language queries on DocumentDB data

DocumentDB Analytics Features

Self-service DocumentDB analytics

Self-Service Analytics

Publish master visualizations and let business users build their own aggregations, dashboards, and reports without writing aggregation pipelines.

Scheduled DocumentDB reporting

Scheduled Reporting & Alerts

Automate DocumentDB reports on a schedule. Get email PDFs, Slack alerts, and trigger notifications when data thresholds are met.

Write data back to DocumentDB

Write-Back to DocumentDB

Write query results back to DocumentDB collections with DBWrite. Build data pipelines that enrich, transform, and store processed data - directly from your dashboards.

Agentic BI for Amazon DocumentDB

Go beyond dashboards. AI agents that understand your DocumentDB data, answer questions in plain English, and take action automatically.

Natural Language Queries

Ask "show me orders by region this quarter" and get instant results. No aggregation pipeline syntax required. The AI generates optimized DocumentDB queries automatically.

AI-Powered Insights

Agents detect anomalies, identify trends, and surface insights you would miss. Get proactive recommendations, not just reactive charts.

Auto-Generate Dashboards

Describe what you need: "create a customer dashboard with monthly signups and churn." The agent builds it - complete with visualizations and filters.

Multi-Agent Orchestration

Complex requests trigger multiple specialized agents. "Find customer data, analyze retention risk, and create a dashboard" - handled automatically.

Semantic Search

Search across all your dashboards, widgets, and datasets by meaning - not just keywords. Find the analysis you need in seconds.

Automated Delivery

Schedule reports to Slack, Teams, or email with natural language. "Send the customer report to #ops every Monday at 9am."

Try Agentic BI Free

Embed DocumentDB Analytics in Your Application

White-label dashboards directly into your SaaS product. Full customization - your logo, your colors, your domain.

Deploy on our SOC2 Type II compliant cloud or on-premise within your infrastructure. Read the embedding & SSO guide.

  • Multi-tenant architecture with per-customer data isolation
  • SSO API integration for seamless user authentication
  • Embed via iFrame or JavaScript SDK
  • Custom branding with white-label support
  • Row-level security for granular access control
  • Write-back to DocumentDB with DBWrite for closed-loop analytics
White-label embedded DocumentDB analytics dashboard with custom branding

Why Knowi vs Other DocumentDB BI Tools

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

Frequently Asked Questions

Common questions about Amazon DocumentDB analytics and business intelligence

What is the best BI tool for Amazon DocumentDB? +

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.

Can I connect to DocumentDB without installing drivers? +

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.

How does Knowi handle nested JSON documents in DocumentDB? +

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.

Can I embed DocumentDB dashboards in my application? +

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.

Can Knowi join DocumentDB data with other databases? +

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.

Does Knowi work with DocumentDB aggregation pipeline limitations? +

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.

Can I write data back to Amazon DocumentDB? +

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.

How does Knowi compare to Amazon QuickSight for DocumentDB analytics? +

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.

Start Building DocumentDB Dashboards Today

Connect to Amazon DocumentDB in minutes. No drivers. No ETL. Free 21-day trial.

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