Table of Contents

Integrate.io offers 200+ pre-built integrations, including MongoDB sources and destinations, providing data teams with comprehensive ETL, ELT, CDC, and Reverse ETL functionality. This guide explores the top 15 MongoDB connectors available on the platform, covering both scenarios where MongoDB serves as a data source and destination.

1. MongoDB to Google BigQuery

Transform your MongoDB NoSQL data into actionable insights with Google Cloud's fully managed data warehouse platform.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/mongodb/google-big-query/

  • Data Flow: MongoDB → Google BigQuery

  • Document Handling: Automatic flattening of nested JSON structures

  • Authentication: Service account credentials (IAM)

  • Schema Evolution: Automatic detection and adaptation to new fields

  • Batch Processing: Configurable batch sizes

  • Data Types: Native BSON to BigQuery type conversion

  • Performance: Parallel processing with Google Cloud Storage staging

2. MongoDB to Snowflake

Seamlessly migrate MongoDB document data to Snowflake's cloud data platform for advanced analytics and machine learning.

Key Technical Features:

  • Data Flow: MongoDB → Snowflake

  • Processing Options: Near real-time CDC (e.g., change streams/oplog) or scheduled batch

  • Multi-Cluster: Leverages Snowflake's horizontal scaling architecture

  • Authentication: Username/password or key-pair authentication

  • File Staging: Optimized bulk loading through COPY command

  • Compression: Automatic data compression during transfer

  • Incremental Loading: Change detection for efficient updates

  • JSON Support: Native semi-structured data handling

3. MongoDB to Amazon Redshift

Connect MongoDB directly to AWS Redshift for enterprise-scale data warehousing and business intelligence.

Key Technical Features:

  • Data Flow: MongoDB → Amazon Redshift

  • AWS Integration: S3 staging for optimized bulk transfers

  • Compression: Compressed staging files (e.g., GZIP)

  • VPC Security: SSL requirements with security group configuration

  • Table Design: Supports distribution/sort key configuration

  • Performance: Parallel COPY operations for high throughput

  • Data Validation: Built-in quality checks during transfer

  • Monitoring: Pipeline health via the Integrate.io dashboard

4. MongoDB to PostgreSQL

Export MongoDB collections to PostgreSQL databases for relational analytics and application development.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/mongodb/google-cloud-sql-for-postgresql/

  • Data Flow: MongoDB → PostgreSQL (and reverse via separate pipelines)

  • Database Support: PostgreSQL 9.6+ including Google Cloud SQL

  • Schema Mapping: Automated BSON to PostgreSQL type conversion

  • Connection Options: SSL/TLS encryption with connection pooling

  • JSON Support: Native PostgreSQL JSONB for complex structures

  • Rollback: Transaction support with rollback capabilities

  • Selective Migration: Collection and field-level filtering

  • Performance: Configurable batch sizes and parallel processing

5. MongoDB to MySQL

Leverage MySQL's proven reliability with your MongoDB data for hybrid application architectures.

Key Technical Features:

  • Data Flow: MongoDB → MySQL (and reverse via separate pipelines)

  • Version Support: MySQL 5.7+ and MariaDB compatibility

  • Normalization: Intelligent document-to-table conversion

  • Primary Keys: Auto-generation for MongoDB documents

  • Data Validation: Pre-insert type checking and constraints

  • Transformation: 220+ built-in functions for data manipulation

  • Performance: Bulk insert optimization with transaction batching

  • Error Handling: Row-level error reporting with retry logic

6. Google Cloud Storage to MongoDB

Enrich your MongoDB collections with data from Google Cloud Storage for comprehensive data consolidation.

Key Technical Features:

  • Data Flow: Google Cloud Storage → MongoDB

  • File Formats: JSON, CSV, Parquet, and BSON support

  • Authentication: Service account with IAM role management

  • Document Creation: Automatic collection creation if non-existent

  • Upsert Logic: Configurable update strategies for existing documents

  • Parallel Processing: Configurable concurrency for file processing

  • Schema Inference: Automatic field type detection

  • Error Recovery: Failed document tracking with retry mechanisms

7. Amazon S3 to MongoDB

Import file-based data from Amazon S3 directly into MongoDB collections for unified data management.

Key Technical Features:

  • Data Flow: Amazon S3 → MongoDB

  • File Processing: Automatic ingestion of new and updated S3 objects

  • Format Support: JSON, CSV, XML with custom delimiters

  • IAM Integration: AWS role-based authentication

  • Bucket Monitoring: Event-driven or scheduled detection of new S3 objects

  • Transformation: Pre-processing pipeline before MongoDB load

  • Compression: Automatic handling of compressed files

  • Archive Management: Post-processing file organization

8. MongoDB to Domo

Synchronize MongoDB data with Domo's cloud-based business intelligence platform for real-time analytics and visualization.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/mongodb/domo/

  • Data Flow: MongoDB → Domo

  • Connection Types: Direct connector with automated data refresh

  • JSON Handling: Automatic flattening of nested MongoDB documents

  • DataSet Creation: Automatic Domo DataSet generation from collections

  • Refresh Scheduling: Configurable intervals from hourly to real-time

  • Transformation: Pre-processing with 220+ built-in functions

  • Card Compatibility: Data optimized for Domo's card visualization system

  • Security: Role-based access control inheritance

9. MongoDB to Salesforce

Export MongoDB collections to Salesforce CRM for unified customer data management and sales automation workflows.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/mongodb/salesforce/

  • Data Flow: MongoDB → Salesforce

  • Object Mapping: MongoDB documents to Salesforce standard/custom objects

  • Authentication: OAuth 2.0 with secure token management

  • Field Mapping: Automatic and custom field mapping with data type conversion

  • Upsert Logic: External ID support for intelligent record updates

  • Bulk API: Optimized for high-volume data transfers

  • Relationship Handling: Parent-child relationship preservation

  • Error Handling: Detailed error logs with retry mechanisms

10. MongoDB to Azure Blob Storage

Archive and process MongoDB data through Azure's cloud storage platform for data lake architectures.

Key Technical Features:

  • Data Flow: MongoDB → Azure Blob Storage

  • Authentication: Access keys or SAS tokens

  • File Formats: JSON, Parquet, CSV with compression options

  • Partitioning: Date-based and custom partitioning strategies

  • Lifecycle Management: Integration with Azure storage policies

  • Performance: Parallel uploads with multi-part transfer

  • Security: Encryption at rest and in transit

  • Cost Management: Works with Azure lifecycle policies for tiering (configured in Azure)

11. PostgreSQL to MongoDB

Import relational data from PostgreSQL into MongoDB for document-based application development.

Key Technical Features:

  • Data Flow: PostgreSQL → MongoDB

  • Document Structure: Configurable JSON document creation

  • Relationship Handling: Join operations for nested document creation

  • Data Types: Complete PostgreSQL to BSON type mapping

  • CDC Support: PostgreSQL logical replication for near real-time sync

  • Performance: Bulk operations with configurable batch sizes

  • JSON Integration: Native PostgreSQL JSONB field preservation

  • Connection Security: SSL certificate validation and encryption

12. MongoDB to Looker

Connect MongoDB collections to Looker for advanced analytics and business intelligence workflows.

Key Technical Features:

  • Data Flow: MongoDB → Looker

  • LookML Integration: Delivers LookML-ready datasets for modeling

  • PDTs: Compatible with Looker PDT workflows

  • API Access: Works with Looker API where applicable

  • Performance: Optimized queries for Looker's caching layer

  • Security: Compatible with row-level security via user attributes in Looker

  • Refresh: Scheduled or on-demand data refresh (near real-time where configured)

  • Custom Fields: Support for Looker calculated fields and filters

13. MongoDB to Databricks

Leverage Databricks' unified analytics platform with MongoDB data for machine learning and big data processing.

Key Technical Features:

  • Data Flow: MongoDB → Databricks

  • Delta: Writes to Delta format where configured

  • Spark Integration: Apache Spark-based distributed processing

  • Authentication: Secure authentication (e.g., workspace tokens)

  • Performance: Parallel processing across Databricks clusters

  • ML Integration: Direct connection to MLflow and AutoML workflows

  • Streaming: Batch loads; streaming where configured in Databricks

  • Notebook Support: Direct data access from Databricks notebooks

14. MongoDB to Elasticsearch

Synchronize MongoDB documents with Elasticsearch for powerful search and analytics capabilities.

Key Technical Features:

  • Data Flow: MongoDB → Elasticsearch

  • Index Mapping: Automatic Elasticsearch mapping from MongoDB schema

  • Sync Cadence: Change stream integration for near real-time updates

  • Search Optimization: Field analysis configuration for search performance

  • Bulk Operations: Elasticsearch bulk API for high-throughput ingestion

  • Security: Works with Elasticsearch security (e.g., X-Pack) and role-based access

  • Performance: Parallel indexing with configurable concurrency

  • Monitoring: Pipeline health via the Integrate.io dashboard

15. MongoDB to REST API

Export MongoDB data to any REST API endpoint for custom integrations and webhook workflows.

Key Technical Features:

  • Data Flow: MongoDB → REST API (and reverse via separate pipelines)

  • HTTP Methods: GET, POST, PUT, DELETE operation support

  • Authentication: OAuth 2.0, API key, and custom header authentication

  • Payload Formats: JSON, XML, form-encoded data support

  • Rate Limiting: Automatic throttling and retry logic

  • Custom Headers: Configurable request headers and parameters

  • Response Handling: Status code validation and error processing

  • Webhook Integration: Event-driven updates via webhook triggers

Platform-Wide MongoDB Features

Integrate.io's MongoDB connectors share these enterprise-grade capabilities:

NoSQL Optimization:

  • Automatic schema evolution handling for dynamic document structures

  • Intelligent flattening algorithms for nested JSON preservation

  • BSON data type conversion with precision maintenance

  • Collection-level and document-level filtering options

Performance & Scalability:

  • Oplog/change stream tailing for near real-time Change Data Capture

  • Parallel processing with configurable concurrency

  • Replica set support for production workload distribution

  • Tunable batch sizes for throughput/latency balance

Security & Compliance:

  • SOC 2 compliant; supports GDPR/CCPA and HIPAA-supporting controls

  • SSL/TLS encryption for all MongoDB connections

  • Authentication database support for complex deployments

  • IP allowlisting and role-based access controls

Monitoring & Management:

  • Live pipeline health monitoring with custom alerts

  • Document-level error tracking and resolution

  • Performance metrics with optimization recommendations

  • 24/7 support with dedicated solutions engineers

Getting Started Resources

Documentation:

Learning & Support:

Pricing & Trial:

Conclusion

Integrate.io's comprehensive MongoDB connector ecosystem provides data teams with powerful, no-code ETL, ELT, CDC, and Reverse ETL pipelines. From simple JSON exports to complex near real-time CDC workflows and machine learning data preparation, these connectors handle diverse use cases while maintaining enterprise-grade security and performance. The platform's unique features, like automatic schema evolution, intelligent document flattening, and fixed-fee pricing model set it apart for organizations serious about MongoDB data integration.

Ready to unlock your MongoDB data potential? Start your 14-day free trial and experience automated, scalable document data integration with Integrate.io's MongoDB connectors. Visit the complete integration catalog to explore all available connectors.