Table of Contents

Integrate.io offers over 150+ connectors with robust Amazon RDS integration capabilities, providing data teams with comprehensive ETL, ELT, CDC, and Reverse ETL functionality. This guide explores the top 15 Amazon RDS connectors available on the platform, covering scenarios where RDS serves as both data source and destination across MySQL, PostgreSQL, Aurora, MariaDB, SQL Server, and Oracle engines.

1. RDS MySQL to Snowflake

Transform your RDS MySQL operational data into Snowflake's cloud data warehouse for advanced analytics and machine learning capabilities.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/mysql/snowflake/

  • Data Flow: RDS MySQL → Snowflake

  • CDC Support: Binlog-based CDC with near real-time updates (frequent polling after the initial full load)

  • Load Method: Bulk/parallelized loads optimized for Snowflake; streaming where configured

  • Batch Processing: Configurable batch sizes

  • Schema Mapping: Automatic MySQL to Snowflake data type conversion

  • Performance: Parallel processing with configurable concurrency

  • Error Handling: Built-in validation and failed record quarantine

  • Cost Efficiency: Credit-efficient loading via batching and compression strategies

2. RDS PostgreSQL to BigQuery

Connect PostgreSQL databases to Google BigQuery for multi-cloud analytics and cross-platform business intelligence.

Key Technical Features:

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

  • Data Flow: RDS PostgreSQL → Google BigQuery

  • Replication: ETL/ELT bulk loads; CDC pipelines available where configured

  • Data Type Handling: Native JSON, array, and geographic data type support

  • Connection Security: SSL/TLS encryption with certificate validation

  • Partitioning: Partitioned tables when configured

  • Incremental Updates: Timestamp and log-based change detection

  • Load Path: GCS-staged bulk loads (ETL); Streaming Insert API for CDC pipelines

  • Compliance: SOC 2 compliant program; supports GDPR/CCPA

  • Performance: Processes millions of records with automatic scaling

3. RDS Aurora to Redshift

Move operational data from Amazon Aurora (MySQL/PostgreSQL–compatible) into Amazon Redshift for analytics with high-throughput batch loads and near real-time CDC.

Key Technical Features:

4. RDS SQL Server to Databricks

Stream SQL Server transactional data into Databricks lakehouse architecture for advanced analytics and machine learning workflows.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/microsoft-sql-server/databricks/

  • Data Flow: RDS SQL Server → Databricks

  • CDC Method: SQL Server Change Tracking and Change Data Capture

  • File Format: Writes to Delta format where configured

  • Compression: Network transfer cost reduction through intelligent algorithms

  • Schema Evolution: Automatic handling of DDL changes and new columns

  • Batch Size: Configurable from 1,000 to 50,000 records per batch

  • Authentication: SQL Server Authentication

  • Parallel Processing: Multi-threaded extraction for large table handling

  • Security: TLS in transit and encryption at rest; HIPAA-supporting controls

5. RDS Oracle to Azure Synapse

Modernize Oracle database workloads by migrating to Azure Synapse Analytics for cloud-native data warehousing.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/azure-synapse-analytics/oracle/

  • Data Flow: RDS Oracle → Azure Synapse Analytics

  • Data Loading: PolyBase/COPY-style parallel loading patterns

  • Data Loading: PolyBase parallel loading with automatic scaling

  • Oracle Features: Procedure calls where applicable; works with Oracle partitions

  • Schema Mapping: Mapping assistance for Oracle → Synapse targets

  • Access Control: Works with Azure RBAC and Synapse access controls

  • Performance: Designed for large-scale migrations

  • Data Types: Complex Oracle type mapping including CLOB and BLOB

  • Cost Optimization: Maintenance cost reduction through automation

6. RDS MariaDB to MongoDB

Bridge relational and document database architectures with bidirectional synchronization between MariaDB and MongoDB.

Key Technical Features:

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

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

  • Document Mapping: Automatic relational schema to document conversion

  • Binary Log Support: MariaDB binlog monitoring for near real-time sync

  • Conflict Resolution: Configurable merge strategies for concurrent updates

  • Data Modeling: Nested relationship and array structure handling

  • Connection Pooling: Optimized connection management for high throughput

  • Indexing: Index options on target collections

  • Transformation: 220+ built-in transformations for data restructuring

7. RDS to Amazon S3

Export RDS data to S3 for cost-effective data lake formation and long-term analytical storage.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/amazon-rds/amazon-s3/

  • Data Flow: RDS (All Engines) → Amazon S3

  • File Formats: Parquet, JSON, CSV, and Avro with compression

  • Partitioning: Date-based and custom partitioning strategies

  • Lifecycle: Works with S3 lifecycle policies (configured in AWS)

  • Glue: Compatible with AWS Glue; catalog registration where configured

  • Extracts: Full and incremental extracts for files in S3

  • Cost Savings: Significant storage cost reduction versus traditional formats

  • Athena Compatible: Query-optimized file structures for serverless analytics

8. RDS to Elasticsearch

Transform structured database content into searchable, analyzable documents for intelligent search applications.

Key Technical Features:

  • Data Flow: RDS (All Engines) → Elasticsearch/OpenSearch

  • Search Performance: Designed for low-latency search (dependent on cluster sizing)

  • Event Processing: Change processing managed within Integrate.io pipelines

  • Schema Mapping: Automatic SQL-to-JSON document transformation

  • Search Features: Multi-language analyzers and geo-spatial indexing

  • Sharding Strategy: Intelligent distribution for optimal performance

  • API Version: Latest Elasticsearch REST API with bulk operations

  • Sync Cadence: Near real-time indexing of database changes

  • Aggregations: Complex analytics pipeline support for dashboards

9. RDS to Looker

Transform your Amazon RDS data into governed, self-service analytics with Looker’s modern BI platform. Integrate.io automates the pipeline from RDS to your warehouse, delivering LookML-ready datasets so teams can build consistent, reusable metrics.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/amazon-rds/looker/

  • Data Flow: RDS (MySQL, PostgreSQL, SQL Server, Oracle) → Looker

  • LookML Integration: Delivers LookML-ready datasets for modeling

  • Refresh Modes: Scheduled or on-demand; near real-time dashboards with frequent runs

  • Data Modeling: Semantic-layer-friendly approach; business logic preserved in the warehouse

  • Row-Level Security: Compatible with user-attribute RLS configured in Looker
    API Integration: Works with Looker API where applicable

  • Performance: Query pushdown where applicable; leverages Looker caching

  • Transformations: 220+ built-in transformations prior to Looker ingestion

10. RDS to Magento

Bridge operational databases and Magento to power customer, product, and order workflows. Integrate.io orchestrates reliable syncs so merchandising, pricing, and fulfillment stay aligned with what’s in your RDS systems.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/amazon-rds/magento/

  • Data Flow: RDS → Magento (and reverse via separate pipelines)

  • Customer Sync: Near real-time profile and behavior synchronization

  • Product Catalog: Automated inventory and pricing updates

  • Order Management: Transaction data synchronization with validation

  • Multi-Store Support: Coordinate multiple Magento stores via configurable pipelines

  • Performance: Batch processing within Magento API limits

  • Data Quality: Built-in validation and error handling

  • Security: TLS in transit; encryption at rest; follow Magento/PSP PCI requirements

11. RDS to Segment

Centralize customer data by piping RDS events and attributes into Segment for downstream activation. Integrate.io maps database changes to Segment calls so you can power analytics, personalization, and messaging tools from one source of truth.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/amazon-rds/segment/

  • Data Flow: RDS → Segment HTTP Tracking API (Sources)

  • Event Streaming: Near real-time tracking from database changes

  • Identity Resolution: Leverages Segment identify/traits for profile merging

  • Track Calls: Maps database events to Segment “track” calls

  • Batch Processing: Efficient bulk historical import

  • Schema Mapping: Automatic trait and property mapping

  • Destination Activation: Activate data across Segment destinations

  • Security & Privacy: TLS in transit; encryption at rest; GDPR-ready governance controls

12. RDS to Google Sheets

Democratize data access by synchronizing RDS content with collaborative Google Sheets interfaces.

Key Technical Features:

  • Data Flow: RDS (All Engines) → Google Sheets

  • API Management: Google Sheets API v4 with rate limit handling

  • Cell Limitations: Pagination strategies to respect 10M cell limits

  • Authentication: OAuth 2.0 (service accounts where configured)

  • Refresh Scheduling: Automated data updates with version tracking

  • Data Formatting: Number formatting and data type preservation

  • Collaboration: Real-time collaboration with audit trail maintenance

  • Formula Support: Preservation of existing spreadsheet formulas

  • Access Control: Google Workspace permission integration

13. RDS to Salesforce

Synchronize customer data between RDS databases and Salesforce CRM for unified customer intelligence.

Key Technical Features:

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

  • Data Flow: RDS → Salesforce (and reverse via separate pipelines)

  • Object Mapping: Standard and custom Salesforce object support

  • API Limits: Governor limit respect with automatic throttling

  • Upsert Operations: Intelligent record matching and deduplication

  • Field Mapping: Visual mapping interface with data type validation

  • Bulk APIs: High-volume processing with Bulk APIs (incl. v2 where applicable)

  • Workflow Triggers: Database events triggering Salesforce workflows

  • Upserts/Deduplication: Upsert + deduplication strategies for record matching

14. RDS to HubSpot

Enhance marketing automation with real-time customer behavior data from RDS operational systems.

Key Technical Features:

  • Data Flow: RDS → HubSpot (and reverse via separate pipelines)

  • Contact Sync: Customer data synchronization with deduplication

  • Workflow Integration: Database events triggering marketing workflows

  • Lead Scoring: Dynamic scoring based on operational metrics

  • Campaign Attribution: Revenue attribution to marketing campaigns

  • API Version: HubSpot API v3 with batch operations support

  • GDPR Compliance: Selective field sync with consent management

  • Custom Properties: Automatic custom property creation and mapping

  • Deal Pipeline: Opportunity updates based on database events

15. RDS to NetSuite

Complete enterprise resource planning integration by synchronizing RDS data with NetSuite's cloud ERP platform.

Key Technical Features:

  • Data Flow: RDS → NetSuite (and reverse via separate pipelines)

  • SuiteCloud: Works with NetSuite connector and SuiteCloud objects

  • Multi-Entity Support: Complex subsidiary and currency handling

  • Reliability: Robust synchronization with retries and error handling

  • Custom Logic: SuiteScript execution during synchronization

  • Financial Integration: Automated journal entries and reconciliation

  • Sync Cadence: Near real-time updates depending on pipeline schedule

  • Batch Processing: High-volume scenarios like month-end closing

  • ERP Objects: Support for customers, vendors, items, and transactions

Platform-Wide RDS Features

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

Security & Compliance:

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

  • Encryption in transit (TLS) and at rest

  • IP allowlisting and SSH tunneling options

  • Role-based access controls with audit logging

  • Column/table-level encryption support depends on target systems

Performance & Scalability:

  • Cloud-native architecture with automatic scaling

  • Support for databases from gigabytes to petabytes

  • Parallel processing with configurable concurrency

  • Intelligent connection pooling and timeout management

  • Query optimization and index usage recommendations

Monitoring & Management:

  • Real-time pipeline health monitoring dashboard

  • Custom alerting and notifications

  • Performance metrics and bottleneck identification

  • Comprehensive error logs with debugging tools

  • Data lineage tracking for governance requirements

Developer Features:

  • REST API for programmatic pipeline management

  • Webhook notifications for event-driven workflows

  • Git integration for version control and CI/CD

  • Custom transformation functions with Python/SQL

  • Package deployment for multi-environment promotion

Getting Started Resources

Documentation:

Learning Resources:

Getting Started:

Conclusion

Integrate.io's comprehensive Amazon RDS connector ecosystem provides data teams with powerful, enterprise-grade solutions for bidirectional data integration across all major database engines. From real-time CDC streaming to batch processing for analytics workloads, these connectors handle diverse use cases while maintaining security, performance, and reliability standards. The platform's combination of 220+ built-in transformations, flexible pipelines, and multi-cloud connectivity sets it apart for organizations serious about RDS data integration.

Ready to transform your RDS data workflows? Start your 14-day free trial and experience automated, scalable data integration with Integrate.io's RDS connectors.