The MongoDB Connector
Archive MongoDB collections, documents, and schema snapshots at the point of application migration or retirement. Preserve document structure. Eliminate the cluster cost.
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MongoDB Archiving for Application Retirement and Compliance
Archon’s MongoDB Connector extracts collections, documents, indexes, and schema snapshots from MongoDB Atlas, MongoDB Community, and MongoDB Enterprise environments, and archives them into open Parquet/Delta Lake format. Built for engineering and data teams decommissioning MongoDB-backed applications, migrating to relational or cloud-native databases, or managing compliance retention on document store data.
MongoDB’s flexible document model stores rich application data: user records, event logs, transactional documents, product catalogs, that carries compliance value long after the application is retired. Archon flattens, transforms, and preserves that document data in an immutable, fully searchable archive without requiring a running MongoDB instance to access it.
- MongoDB native driver and Atlas API extraction for collections and documents
- Nested documents, arrays, and change streams captured with structural integrity
- Collection indexes, schema snapshots, and audit logs preserved
- Cross-collection document search via Archon Analyzer, no MongoDB cluster post-archive
- GDPR, CCPA, HIPAA, and SOC 2 retention policy support
Capabilities
Everything You Need for MongoDB Data Operations
Document and Nested Structure Extraction
Archon extracts MongoDB collections including nested documents and array fields, flattening complex document structures into queryable Parquet format while preserving the original schema snapshot as metadata.
Atlas Cluster Cost Elimination
MongoDB Atlas cluster costs accumulate on data that must be retained for compliance but is rarely queried. Archon archives those collections to Lakehouse storage, enabling Atlas cluster downsizing or retirement on inactive data.
Application Migration Data Preservation
Organizations migrating from MongoDB to PostgreSQL, MySQL, or a cloud-native store use Archon to preserve the complete MongoDB data history before migration, including historical documents that are out of scope for the destination system.
GDPR and CCPA Data Subject Request Fulfillment
Archon supports GDPR Article 15 access requests and Article 17 right-to-erasure on archived MongoDB documents, with selective PII field removal that preserves document integrity for audit and compliance purposes.
Use Cases
How Enterprises Use the MongoDB Connector
01 Application Retirement
Microservices and legacy applications built on MongoDB are decommissioned regularly. Archon archives the underlying collections, including nested document structures and indexes, before the application is shut down, ensuring compliance access without preserving the MongoDB cluster.
02 Atlas Cost Optimization
MongoDB Atlas clusters accumulate cold collections at full compute cost. Archon offloads those collections to Lakehouse Parquet at a fraction of Atlas pricing, without losing query access via Archon Analyzer.
03 Database Migration to Relational
MongoDB-to-PostgreSQL or MongoDB-to-MySQL migrations use Archon to archive the complete MongoDB document history before cutover. Historical documents are preserved in flattened Parquet format, queryable without MongoDB.
04 Event Log and Audit Record Compliance
Application event streams, user activity logs, and audit records stored in MongoDB carry GDPR and SOC 2 retention obligations. Archon captures those records before TTL expiry and preserves them immutably in the compliance archive.
Technical Specifications
| Specification | Details |
|---|---|
| Connection Method | MongoDB native driver / Atlas Data API |
| Supported Versions | MongoDB 4.x, 5.x, 6.x, 7.x; Atlas (all tiers) |
| Data Scope | Collections, documents (nested/arrays), indexes, change streams, audit logs |
| Output Format | Parquet, Delta Lake, Avro, JSON, CSV |
| Metadata Handling | Schema snapshots, collection indexes, document structure, _id mapping |
| Transformation Rules | 1,000+ built-in; document flattening and schema normalization supported |
| Retention Management | GDPR, CCPA, HIPAA, SOC 2 retention schedules |
| Legal Hold | Collection and document-level hold orchestration with audit trail |
| Deployment | On-premises · Cloud (AWS, Azure, GCP) · Hybrid |
| Security & Compliance | TLS 1.3 in transit · AES-256 at rest · WORM |
How It Works
Up and Running in 4 Steps
01
Connect to MongoDB
Authenticate via MongoDB native driver or Atlas API. Archon auto-discovers all databases, collections, indexes, and schema structures within the cluster.
02
Map & Configure
Define collection scope, document flattening strategy for nested structures, and jurisdiction-specific retention schedules. Configure PII masking for GDPR compliance.
03
Validate & Preview
Run a dry-run against sample MongoDB collections. Quality report flags schema variability, missing _id fields, and nested document depth anomalies.
04
Archive & Monitor
Execute full extraction. Documents flattened to Parquet with schema snapshot preserved. Cryptographic hashes applied per document. Searchable via Archon Analyzer on ingestion.FAQ
Common Questions About the MongoDB Connector
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1. How does Archon handle MongoDB's flexible schema, do all documents need the same fields?
No. Archon handles schema variability natively, documents with different field sets within the same collection are normalized into a consistent Parquet schema with null values for absent fields.
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2. Can Archon archive MongoDB change streams and capture real-time document changes?
Yes. Archon can capture MongoDB change streams, preserving insert, update, and delete events with full document context for compliance audit trail requirements.
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3. Does Archon flatten nested MongoDB documents for Parquet output?
Yes. Archon flattens nested documents and arrays into structured Parquet columns, configurable by nesting depth, while preserving the original document schema as metadata.
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4. Can Archon archive MongoDB Atlas clusters without disrupting active application workloads?
Yes. Archon uses read-only driver connections with configurable throttling, no impact on active Atlas cluster performance or application query patterns.
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5. Does Archon support GDPR right-to-erasure on archived MongoDB customer documents?
Yes. Archon supports selective PII field removal from archived MongoDB documents while preserving the document structure and audit trail required for compliance purposes.
Ready to archive your MongoDB data and retire the dependency?
Talk to an Archon connector specialist at archondatastore.com. Free consultation, no commitment, reply within 24 hours.
