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Integrate.io offers over 150+ connectors with robust MySQL integration capabilities, providing data teams with comprehensive ETL, ELT, CDC, and Reverse ETL functionality. This guide explores the top 15 MySQL connectors available on the platform, covering both scenarios where MySQL serves as a data source and destination for modern data architectures.

1. MySQL to Snowflake

Transform your MySQL operational data into Snowflake's cloud-native analytics platform with real-time synchronization capabilities.

Key Technical Features:

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

  • Data Flow: MySQL → Snowflake

  • CDC Support: Binlog-based CDC with frequent polling for near real-time updates (initial full load, then continuous changes)

  • Authentication: Snowflake key-pair authentication (recommended) or password auth

  • Schema Changes & Upserts: Handles deletes and upserts and adapts to schema changes

  • Security: SSL/TLS; optional SSH tunnel on the MySQL side

  • Transforms: 220+ low-code transformations available

2. MySQL to Google BigQuery

Seamlessly migrate MySQL data to Google's serverless data warehouse for cost-effective analytics at scale. Learn more about BigQuery vs Redshift comparisons.

Key Technical Features:

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

  • Data Flow: MySQL → Google BigQuery

  • Processing Options: ETL/ELT bulk loads and CDC replication (GCS-staged loads where configured)

  • Table Targeting: Write to your specified datasets/tables (supports partitioned tables when configured)

  • Auth: Service account credentials with granular IAM

  • Schema & Types: Automatic mapping with configurable overrides

  • Security: Encrypted in transit and at rest

  • Transforms: 220+ low-code transformations available

3. MySQL to Amazon Redshift

Connect MySQL directly to AWS Redshift for enterprise-scale data warehousing and business intelligence. Explore the complete AWS RDS ETL tools guide.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/mysql/amazon-redshift/

  • Data Flow: MySQL → Amazon Redshift

  • Load Method: Amazon S3 staging + Redshift COPY for high-throughput loads

  • Bucket Options: Use an Integrate-managed bucket or your own S3 bucket

  • Load Modes: Append or upsert (merge) patterns depending on pipeline design

  • Security: SSL/TLS; AWS credentials/IAM role for Redshift & S3

  • Transforms: 220+ low-code transformations available

4. MySQL to PostgreSQL

Migrate between open-source database leaders with intelligent type mapping and function translation capabilities. Learn about PostgreSQL vs MySQL differences.

Key Technical Features:

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

  • Data Flow: MySQL → PostgreSQL

  • Type Mapping: Automatic data type conversions with configurable mappings

  • Load Modes: Append, overwrite, or upsert (merge)

  • Security: SSL/TLS; optional SSH tunnel support

  • Transforms: 220+ low-code transformations available

5. Amazon RDS for MySQL (as a source)

Purpose-built connector for AWS's managed MySQL service with enhanced monitoring and automated failover handling.

Key Technical Features:

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

  • Data Flow: Amazon RDS for MySQL → (any supported destination), including CDC

  • Connectivity: Allowlist Integrate.io IPs and/or use an SSH tunnel; enable SSL/TLS

  • MySQL Requirements: Enable binlogs and grant a read-only sync user

  • Transforms: 220+ low-code transformations available

6. MySQL to Microsoft Azure Blob Storage

Archive and stage MySQL data in Azure's object storage for data lake architectures and long-term retention.

Key Technical Features:

7. Google Cloud SQL for MySQL (as a source)

Native integration for Google's fully-managed MySQL service with automatic maintenance coordination.

Key Technical Features:

8. MySQL to Salesforce (Reverse ETL)

Enrich your Salesforce CRM with computed metrics and aggregations from MySQL data warehouses for unified customer insights.

Key Technical Features:

  • Data Flow: MySQL → Salesforce

  • API Support: Bulk API 2.0 for high-volume data processing

  • Object Mapping: Automatic Salesforce object detection and field creation

  • Governor Limits: Intelligent request management respecting API quotas

  • Field Tracking: Incremental updates for modified records only

  • Relationship Handling: Lookup field resolution with parent record matching

  • Custom Objects: Full custom object support with metadata API

  • Validation: Picklist validation and required field enforcement

9. MySQL to MongoDB

Bridge relational and document paradigms with automatic denormalization and intelligent relationship mapping.

Key Technical Features:

  • Data Flow: MySQL → MongoDB

  • Schema Conversion: Automatic document structuring with embedded relationships

  • Relationship Handling: Foreign key to embedded document transformation

  • Index Translation: MySQL to MongoDB index mapping with performance optimization

  • Transaction Support: ACID compliance maintenance across document operations

  • Collection Strategy: Configurable denormalization rules for query patterns

  • Type Preservation: Decimal128 for financial data accuracy

  • Aggregation Pipeline: Built-in transformation support for complex operations

10. MySQL to Amazon S3

Export MySQL data to S3 for data lake architectures, analytics, and cost-effective long-term archival.

Key Technical Features:

  • Data Flow: MySQL → Amazon S3

  • File Formats: Parquet, ORC, Avro, CSV, JSON with metadata preservation

  • Multipart Upload: Automatic handling for files over 5GB

  • S3 Features: Intelligent-Tiering and lifecycle policy support

  • Compression: GZIP, Snappy, LZ4, and ZSTD algorithm options

  • AWS Glue Integration: Automatic catalog entries for data discovery

  • S3 Select: Query pushdown capabilities for reduced data transfer

  • Object Lock: Compliance mode for regulatory audit trails

11. MySQL to Azure Synapse Analytics

Integrate MySQL with Microsoft's analytics service for unified enterprise data warehousing and advanced analytics. Explore Microsoft ETL tools.

Key Technical Features:

  • Data Flow: MySQL → Azure Synapse Analytics

  • Authentication: Azure AD integrated and SQL authentication methods

  • PolyBase Support: External table definitions for data virtualization

  • Distribution Options: Hash, round-robin, and replicated table strategies

  • Private Link: Network isolation support for enterprise security

  • Data Lake Integration: ADLS Gen2 staging for optimized loading

  • Result Caching: Query performance optimization with materialized views

  • Workload Management: Resource class configuration for concurrent workloads

12. MySQL to HubSpot

Synchronize customer data between MySQL and HubSpot for unified marketing operations and customer lifecycle management.

Key Technical Features:

  • Data Flow: MySQL → HubSpot

  • API Version: HubSpot API v3 with batch operation support

  • Contact Enrichment: Custom property mapping with data validation

  • Rate Limiting: Automatic throttling respecting HubSpot quotas

  • Timeline Events: Activity tracking with engagement scoring

  • Custom Objects: Extended CRM modeling for complex relationships

  • Deduplication: Email-based matching with conflict resolution

  • Workflow Integration: Event-based automation trigger support

13. MySQL to Google Cloud Storage

Archive MySQL data in Google's object storage for cost-effective long-term retention and data lake architectures.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/google-cloud-storage/mysql/

  • Data Flow: MySQL → Google Cloud Storage

  • Resumable Uploads: Automatic retry mechanism for large file transfers

  • Storage Classes: Nearline, Coldline, and Archive lifecycle management

  • Customer Keys: Customer-managed encryption key (CMEK) support

  • Composite Objects: Parallel upload support for improved throughput

  • BigQuery External: Direct external table definitions for query federation

  • Retention Policies: Compliance enforcement with automatic deletion

14. MySQL to NetSuite

Financial data integration between MySQL and NetSuite ERP with transaction-level accuracy and audit compliance.

Key Technical Features:

  • Data Flow: MySQL → NetSuite

  • Record Types: Support for all NetSuite standard and custom records

  • API Integration: RESTlets and SuiteScript deployment automation

  • Currency Handling: Multi-currency transaction processing with exchange rates

  • SuiteQL Support: Advanced query capabilities for complex data retrieval

  • Dependency Management: Referential integrity with parent-child relationships

  • Audit Trail: Complete transaction lineage with change tracking

  • Concurrency Control: Request queue management for API limit compliance

15. MySQL to Business Intelligence Platforms

Connect MySQL to modern BI tools for real-time operational dashboards, reporting, and self-service analytics.

Key Technical Features:

  • Supported Platforms: Tableau, Power BI, Looker, Qlik, Sisense integration

  • Data Flow: MySQL → BI Tools via optimized connectors

  • Query Optimization: Pushdown filtering and aggregation support

  • Caching Strategies: Incremental refresh with change detection

  • Security Integration: Row-level access control with SSO authentication

  • Metadata Management: Automatic schema detection with business glossary

  • Live Connections: Direct query mode with connection pooling

  • Performance Monitoring: Query execution tracking with optimization recommendations

Platform-Wide MySQL Features

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

Security & Compliance:

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

  • Field-level encryption options with customer-managed keys

  • IP whitelisting, VPN support, and private connectivity

  • Complete audit logging with immutable data lineage tracking

Performance & Scalability:

  • Auto-scaling cloud-native infrastructure with global availability

  • Support for databases from megabytes to petabyte scale

  • Parallel processing with configurable concurrency

  • Intelligent connection pooling and query optimization

Monitoring & Management:

  • Real-time pipeline monitoring dashboard with SLA tracking

  • Custom alerting via email, Slack, and webhook notifications

  • Performance metrics with trend analysis and capacity planning

  • Comprehensive error logs with root cause analysis tools

Developer Features:

  • REST API for programmatic pipeline management and automation

  • Webhook notifications for event-driven workflow integration

  • Git version control integration with CI/CD pipeline support

  • Custom transformation scripting with Python and SQL support

Getting Started Resources

Documentation:

Webinars & Learning:

Pricing & Trial:

Conclusion

Integrate.io’s comprehensive MySQL connector ecosystem bridges operational databases and modern cloud data platforms. These connectors remove the heavy lifting of change capture, bulk loads, and schema drift while maintaining enterprise-grade security and compliance. The platform’s no-code approach—paired with 220+ built-in transformations, automated schema mapping, and reliable error handling—lets teams build robust ETL, ELT, and Reverse ETL pipelines without managing infrastructure or writing custom code.

Ready to modernize your MySQL data integration? Start your 14-day free trial and see how Integrate.io’s MySQL connectors streamline near-real-time replication, warehousing, and operational syncs. Visit the complete integration catalog to explore all available connectors and design your ideal pipeline architecture.