MongoDB Connector

Auto-document, score and ask your MongoDB data.

Connect MongoDB as a source or destination. Every collection and field gets an AI-generated description and a data quality score. Ask your document data anything in plain English - and write transformed results back to MongoDB. No SQL, no code.

SOC2 COMPLIANT
GDPR READY
ZERO RAW ROWS TO AI
MongoDB
ConnectMongoDB
ProfileAuto DQ & AI Gen
GovernHuman Validation
RefineTransform & Fix
OutcomeDecision Ready
Governance Pipeline Active

From raw MongoDB data to
Actionable Insights in minutes.

Secure Connection

Link your MongoDB instance using bank-grade AES-256 encryption. Your credentials never leave our secure vault.

01

Auto Profiling

Edilitics inspects every table and column in your MongoDB schema, generates AI descriptions, and scores data quality — automatically.

02

AI Activation

Ask your data anything in plain English. No SQL required. No raw data ever touches the LLM.

03

Why use the MongoDB
Connector for Edilitics?

Unlike generic ETL tools, Edilitics builds a Governance-First loop around your MongoDB data, ensuring trust before analysis.

Zero-Touch Data Observability

Automatic monitoring of schema drift and data health anomalies without manual configuration.

Privacy-Preserving AI

Our proprietary Tiered Trust model ensures that AskEdi reasons on metadata, not your raw records.

Instant Semantic Layer

AI-generated column descriptions that bridge the gap between raw tables and business logic.

Advanced Capabilities

Enterprise-Grade Architecture

Sync Mode
Real-time
Change Data Capture
Security
PBKDF2
Fernet-Symmetric Key
DQ Engine
A-F Grade
Triple-Block Sampling
Privacy
3 Modes
ZERO RAW ROWS TO AI
Certified MongoDB protocol active for this integration.

Governance-First Loop

Trust your MongoDB data before you query it.

Auto DQ Scoring

Triple-Block Sampling Active

Integrate executes proprietary sampling across 16,600 rows of your MongoDB data to ensure a 99% confidence level.

CompletenessNon-null cell check
50%
UniquenessDuplicate detection
25%
ComplianceType safety audit
25%
Formula
DQ = (0.50 × comp) + (0.25 × uniq) + (0.25 × compl)

AI Readiness (AIR)

AskEdi Reasoning Optimized

Clean data isn't enough. AskEdi needs business context to reason accurately and eliminate every hallucination.

UndocumentedZero semantic context
0.0 pts
AI-GeneratedBaseline logic mapping
0.2 pts
Human-ValidatedVerified source of truth
1.0 pts

AIR score = (DQ × 0.5) + (Semantic Validation × 0.5). Grades D/F trigger an advisory warning in sessions.

Automated Statistical Dimensions

Every column in MongoDB undergoes a seven-point audit to build the governed semantic layer.

Sampled: 16.6k rows
Confidence: 99%
Null RateCompleteness Check
CardinalityUniqueness Density
Data TypeCompliance Audit
Min BoundRange Detection
Max BoundOutlier Check
FrequencyDistribution Map
CategoryBusiness Context

Write analytics-ready MongoDB data
to any destination.

Transform your MongoDB data and write the results directly to any major cloud warehouse or database. Clean, governed, and ready to use - no export scripts, no manual handoffs.

COMMON QUESTIONS

Everything you need to know about the MongoDB Connector.

Get answers to common questions about connecting MongoDB to your data stack.