Table of Contents

Integrate.io offers 100+ pre-built connectors with robust Amazon Redshift integration capabilities, providing data teams with comprehensive ETL, ELT, CDC, and Reverse ETL functionality. This guide explores the top 15 Redshift connectors available on the platform, covering scenarios where Redshift serves as both a data source and destination for enterprise data warehousing and operational analytics.

1. Salesforce to Redshift

Extract comprehensive CRM data from Salesforce and load into Redshift for advanced customer analytics and revenue intelligence.

Key Technical Features:

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

  • Data Flow: Salesforce → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • Reverse flow: #9 Redshift → Salesforce

  • Supported Objects: Leads, accounts, opportunities, contacts, campaigns, custom objects

  • Authentication: OAuth 2.0 with secure token refresh

  • API Support: Bulk API 1.0 and 2.0 for high-volume processing

  • Batch Processing: Configurable batch sizes up to 10,000 records

  • CDC Support: Real-time Change Data Capture available

  • Performance: Parallel processing with automatic API limit management

2. MySQL to Redshift

Migrate MySQL databases to Redshift for modern analytics and reporting with continuous replication capabilities. Learn more at https://www.integrate.io/integrations/amazon-redshift/

Key Technical Features:

  • Data Flow: MySQL → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • CDC Method: MySQL Binlog for real-time replication

  • Version Support: MySQL 5.6+ and MariaDB compatibility

  • Connection Types: Direct JDBC and SSH tunnel support

  • Schema Mapping: Automatic data type conversion

  • Incremental Loading: Timestamp and binlog-based synchronization

  • Performance: Multi-threaded extraction with connection pooling

  • Transaction Support: Maintains ACID compliance during replication

3. PostgreSQL to Redshift

Seamlessly transfer PostgreSQL data to Redshift with enterprise-grade reliability and performance optimization. Explore more integrations at https://www.integrate.io/integrations/.

Key Technical Features:

  • Data Flow: PostgreSQL → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • Reverse flow: #11 Redshift → PostgreSQL

  • CDC Method: Write-Ahead Log (WAL) for real-time updates

  • Version Support: PostgreSQL 9.6+ compatibility

  • Data Types: Complex type handling (JSON, arrays, custom types)

  • Connection Security: SSL/TLS encryption with certificate validation

  • Schema Evolution: Automatic handling of schema changes

  • Performance: Parallel extraction with configurable thread counts

  • Replication Slots: Logical replication for minimal impact

4. Amazon S3 to Redshift

Efficiently load data from S3 into Redshift using native AWS COPY commands for optimal performance.

Key Technical Features:

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

  • Data Flow: Amazon S3 → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • Reverse flow: #13 Redshift → Amazon S3

  • File Formats: CSV, JSON, Parquet, Avro, ORC support

  • AWS Integration: Native IAM roles and S3 bucket permissions

  • COPY Optimization: Automatic manifest file generation

  • Compression: GZIP, BZIP2, and LZO compression support

  • Schema Inference: Automatic column detection and mapping

  • Error Handling: STL_LOAD_ERRORS integration for troubleshooting

5. MongoDB to Redshift

Bridge NoSQL MongoDB data with structured Redshift analytics through intelligent schema mapping and transformation. 

Key Technical Features:

  • Data Flow: MongoDB → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • Connection Methods: Direct connection and MongoDB Atlas support

  • Authentication: SCRAM-SHA-1, SCRAM-SHA-256, and X.509 certificates

  • Schema Flattening: Automatic JSON document to table conversion

  • Change Streams: Real-time CDC using MongoDB change streams

  • Data Types: Intelligent mapping of MongoDB to Redshift types

  • Query Filtering: MongoDB aggregation pipeline support

  • Performance: Parallel collection processing optimization

6. Google Ads to Redshift

Import Google Ads campaign performance data into Redshift for comprehensive marketing analytics and ROI analysis.

Key Technical Features:

  • Data Flow: Google Ads → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • API Support: Google Ads API v21 (released Aug 6, 2025); older versions like v11 were sunset (Mar 29, 2023)

  • Authentication: OAuth 2.0 with refresh token management

  • Report Types: Campaign, ad group, keyword, and conversion reports

  • Date Ranges: Historical and incremental data synchronization

  • Attribution: Multi-touch and last-click attribution support

  • Performance: Automatic quota management and rate limiting

  • Currency Support: Multi-currency conversion and reporting

7. Shopify to Redshift

Synchronize Shopify e-commerce data with Redshift for comprehensive retail analytics and inventory management.

Key Technical Features:

  • Data Flow: Shopify → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • API Support: Latest Shopify Admin API (Shopify supports each version for ~12 months; older versions like 2023-07 are no longer supported).

  • Authentication: Custom app access token (generated in the Shopify admin). Private apps were deprecated and replaced by custom apps. For public integrations, OAuth 2.0 (Authorization Code Grant) is supported.

  • Data Objects: Orders, customers, products, inventory, transactions

  • Webhooks: Real-time event processing for order updates

  • Multi-store: Support for Shopify Plus multi-store setups

  • Currency Handling: Multi-currency transaction processing

  • Custom Fields: Metafields and custom attributes support

8. HubSpot to Redshift

Transfer HubSpot CRM and marketing data to Redshift for advanced lead scoring and sales analytics.

Key Technical Features:

  • Data Flow: HubSpot → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • API Access: HubSpot API v3 integration

  • Authentication: OAuth 2.0 with scope-based permissions

  • Object Support: Contacts, companies, deals, tickets, activities

  • Custom Properties: Full custom field and property support

  • Timeline Events: Complete engagement history tracking

  • Incremental Sync: Timestamp-based incremental updates

  • Relationship Mapping: Association handling between objects

9. Redshift to Salesforce

Enrich Salesforce CRM with analytical insights and aggregated data from Redshift for operational intelligence.

Key Technical Features:

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

  • Data Flow: Amazon Redshift → Salesforce

  • Directionality: One-way (Redshift → Destination)

  • Reverse flow: #1 Salesforce → Redshift

  • Supported Operations: Insert, update, upsert, and delete operations

  • Authentication: OAuth 2.0 with Salesforce Connected App

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

  • Field Mapping: Automatic and manual field mapping with validation

  • Error Handling: Detailed error reporting with row-level failures

  • Scheduling: Configurable sync schedules and triggers

10. Redshift to Snowflake

Enable seamless data sharing between Redshift and Snowflake for multi-cloud analytics strategies. View the complete Redshift source documentation.

Key Technical Features:

  • Data Flow: Amazon Redshift → Snowflake

  • Directionality: One-way (Redshift → Destination)

  • Data Staging: S3-based staging for optimal transfer performance

  • Authentication: AWS IAM roles and Snowflake key-pair authentication

  • Format Support: Native support for compressed and uncompressed formats

  • Schema Mapping: Automatic data type conversion and mapping

  • Incremental Sync: Timestamp-based and CDC-driven synchronization

  • Performance: Parallel unloading and loading optimization

  • Cost Control: Intelligent scheduling to minimize compute costs

11. Redshift to PostgreSQL

Transfer analytical results from Redshift back to PostgreSQL for operational applications and real-time systems.

Key Technical Features:

  • Data Flow: Amazon Redshift → PostgreSQL

  • Directionality: One-way (Redshift → Destination)

  • Reverse flow: #3 PostgreSQL → Redshift

  • Connection Types: Direct connection and SSH tunnel support

  • Version Support: PostgreSQL 9.6+ compatibility

  • Data Operations: Insert, update, upsert with conflict resolution

  • Transaction Management: Atomic operations with rollback support

  • Schema Evolution: Automatic table creation and schema updates

  • Performance: Configurable batch sizes and parallel processing

  • Monitoring: Real-time sync status and error reporting

12. Redshift to Tableau

Connect Redshift directly to Tableau for real-time dashboarding and interactive analytics.

Key Technical Features:

  • Data Flow: Amazon Redshift → Tableau Server/Online

  • Directionality: One-way (Redshift → Destination)

  • Connection Methods: Direct connection and extract refresh

  • Authentication: Database credentials and OAuth 2.0 support

  • Data Sources: Published data sources and workbook connections

  • Refresh Scheduling: Automated extract refresh and incremental updates

  • Performance: Query optimization and connection pooling

  • Security: Row-level security and user-based filtering

  • Monitoring: Connection health and refresh status tracking

13. Redshift to Amazon S3

Export Redshift data to S3 for archival, backup, and cross-region data sharing.

Key Technical Features:

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

  • Data Flow: Amazon Redshift → Amazon S3

  • Directionality: One-way (Redshift → Destination)

  • Reverse flow: #4 Amazon S3 → Redshift

  • Export Formats: CSV, JSON, Parquet with configurable compression

  • AWS Integration: Native IAM roles and cross-account access

  • Partitioning: Automatic data partitioning by date or custom fields

  • Scheduling: Automated exports with cron-based scheduling

  • Encryption: Server-side encryption with KMS key management

  • Lifecycle Management: Integration with S3 lifecycle policies

14. Stripe to Redshift

Extract Stripe payment and subscription data for comprehensive revenue analytics and financial reporting.

Key Technical Features:

  • Data Flow: Stripe → Amazon Redshift

  • Directionality: One-way (Source → Redshift)

  • API Support: Latest Stripe API

  • Authentication: Secret key and restricted key support

  • Data Objects: Payments, subscriptions, customers, invoices, refunds

  • Webhook Support: Real-time event processing capability

  • Multi-account: Stripe Connect marketplace support

  • Currency Handling: Multi-currency transaction processing

  • PCI Compliance: Tokenized sensitive data handling

15. Redshift to Redshift

Cross-region and cross-account Redshift data sharing for distributed analytics and disaster recovery.

Key Technical Features:

  • Data Flow: Amazon Redshift → Amazon Redshift

  • Directionality: One-way (Redshift → Destination)

  • Cross-region: Data replication across AWS regions

  • Cross-account: Secure data sharing between AWS accounts

  • Data Sharing: Native Redshift data sharing capabilities

  • Backup/Restore: Automated backup and disaster recovery

  • Schema Sync: Automatic schema synchronization and evolution

  • Performance: Optimized for large-scale data movement

  • Security: Encrypted data transfer with IAM-based access control

Platform-Wide Redshift Features

Integrate.io's Redshift connectors deliver enterprise-grade capabilities across all integrations:

Performance & Scalability:

  • Auto-scaling infrastructure supporting petabyte-scale datasets

  • Parallel processing with configurable worker threads

  • Intelligent batch sizing based on data volume and complexity

  • Optimized COPY and UNLOAD commands for maximum Redshift performance

  • Connection pooling and resource management optimization

Security & Compliance:

  • End-to-end encryption (in transit & at rest); SOC 2 compliant (latest report available to customers under NDA); GDPR, CCPA, and HIPAA support

  • Role-based access controls with audit logging

  • VPC connectivity and IP whitelisting support

  • Field-level encryption for sensitive data protection

Monitoring & Management:

  • Real-time pipeline monitoring with custom alerting

  • Comprehensive error handling and retry mechanisms

  • Data quality validation and anomaly detection

  • Performance metrics and optimization recommendations

  • Complete data lineage and audit trail tracking

Developer Experience:

  • No-code connector configuration interface

  • REST API for programmatic pipeline management

  • Git integration for version control and CI/CD

  • Webhook notifications for event-driven workflows

  • Comprehensive logging and debugging capabilities

Getting Started Resources

Documentation:

Learning & Support:

Platform Access:

Conclusion

Integrate.io's comprehensive Redshift connector ecosystem enables organizations to build sophisticated data warehousing and operational analytics solutions without extensive technical overhead. From traditional databases to modern SaaS applications, these connectors handle the complexities of bidirectional data integration while maintaining enterprise-grade security and performance standards. The platform's no-code approach, combined with advanced features like CDC, intelligent schema mapping, and automated optimization, empowers data teams to focus on analysis rather than integration maintenance.

Ready to accelerate your Redshift data integration? Start your 14-day free trial and experience the power of automated, scalable ETL with Integrate.io's proven connector technology. Explore the complete integration catalog to discover all available data sources and destinations.