Table of Contents

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

1. PostgreSQL to Salesforce

Transform your PostgreSQL customer data into actionable CRM insights with this powerful enterprise integration.

Key Technical Features:

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

  • Data Flow: PostgreSQL → Salesforce

  • Supported Objects: Contacts, leads, accounts, opportunities, custom objects

  • Authentication: OAuth 2.0 with secure token refresh management

  • API Support: Bulk API 2.0 and REST API for optimal performance

  • Batch Processing: Configurable batch sizes (optimize per API limits)

  • Transformation: 220+ built-in transformations available

  • Performance: UPSERT operations with conflict resolution logic

2. PostgreSQL to Snowflake

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

Key Technical Features:

  • Data Flow: PostgreSQL → Snowflake

  • Processing Options: Real-time CDC or scheduled batch processing

  • WAL Replication: pgoutput logical decoding for near real-time updates (frequent polling after the initial full load)

  • API Version: PostgreSQL 10.x+ with optimized connection pooling

  • Field Mapping: Automatic and manual schema mapping with type conversions

  • Error Handling: Row-level error reporting with CSV export capabilities

  • Security: End-to-end encryption; SOC 2 compliant with HIPAA-supporting controls

  • Incremental Loading: Change Data Capture for efficient updates

3. PostgreSQL to Amazon Redshift

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

Key Technical Features:

  • Data Flow: PostgreSQL → Amazon Redshift

  • AWS Integration: AWS credentials/IAM role authentication

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

  • Query Capabilities: Full SQL support with WHERE clause optimization

  • Concurrency: Parallelized loads with configurable concurrency

  • Compression: Support for compressed staging files (e.g., GZIP)

  • Monitoring: Real-time pipeline health via the Integrate.io monitoring dashboard

  • Scheduling: Flexible pipeline scheduling (including frequent intervals)

4. PostgreSQL to Google BigQuery

Export PostgreSQL data to Google BigQuery for cloud-native analytics and machine learning workloads.

Key Technical Features:

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

  • Data Flow: PostgreSQL → Google BigQuery

  • Connection Types: Direct API and Google Cloud Storage staging

  • Schema Management: Auto-schema detection with nested record support

  • Performance: ETL uses GCS-staged bulk loads; CDC pipelines can use BigQuery’s Streaming Insert API

  • Table Design: Supports partitioned/clustering tables when configured

  • Security: Google Cloud IAM integration with service account authentication

  • Data Types: Full PostgreSQL to BigQuery type mapping including JSONB

5. Google Cloud SQL for PostgreSQL to Snowflake

Leverage Google's managed PostgreSQL service with Snowflake for unified cloud data architecture.

Key Technical Features:

  • Data Flow: Google Cloud SQL → Snowflake

  • Cloud Native: Built-in Google Cloud Platform authentication

  • Managed Service: Automatic scaling and high availability support

  • Network Security: Authorized networks (public IP) with IP allowlisting and/or SSH tunnel; enable SSL/TLS

  • Configuration: cloudsql.logical_decoding flag enabled for CDC operations

  • IAM Integration: Google Cloud Identity and Access Management

  • Performance: Connection pooling for stable throughput

  • Monitoring: Stackdriver integration for comprehensive observability

6. PostgreSQL to RESTful API

Custom API integration for advanced PostgreSQL data operations and modern application workflows.

Key Technical Features:

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

  • Data Flow: Bidirectional via REST API

  • Authentication: OAuth 2.0, API keys, basic auth, and custom headers

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

  • Data Formats: JSON, XML, and form-encoded payload generation

  • Rate Limiting: Automatic throttling with exponential backoff

  • Custom Endpoints: Support for custom API specifications

  • Webhook Support: Event-driven integration patterns

7. PostgreSQL to Elasticsearch

Transform relational PostgreSQL data into searchable documents for full-text search and real-time analytics.

Key Technical Features:

  • Data Flow: PostgreSQL → Elasticsearch

  • Index Management: Automatic mapping creation with custom analyzers

  • JSONB Support: Native handling of PostgreSQL JSON data types

  • Search Optimization: Multi-field mappings and geo-spatial indexing capabilities

  • Bulk Operations: High-performance bulk indexing with configurable batching

  • Version Support: Compatible with current Elasticsearch releases

  • CDC Integration: Near real-time document updates via logical replication

  • Performance: Refresh interval optimization and routing configuration

8. PostgreSQL to HubSpot

Synchronize marketing and sales data between PostgreSQL databases and HubSpot for unified customer engagement.

Key Technical Features:

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

  • Data Flow: PostgreSQL ↔ HubSpot (bidirectional)

  • Object Support: Contacts, companies, deals, tickets, and custom properties

  • Rate Limiting: Automatic API throttling and intelligent queue management

  • Field Mapping: Advanced property mapping and custom field support

  • Custom Properties: Dynamic field creation and advanced mapping options

  • Engagement Tracking: Activity and interaction data synchronization

  • Batch Processing: Configurable batching within HubSpot API limits

  • Deduplication: Intelligent contact merging and duplicate prevention

9. PostgreSQL to MySQL

Connect PostgreSQL and MySQL databases for multi-database application architectures and migration scenarios.

Key Technical Features:

  • Data Flow: PostgreSQL → MySQL (and vice-versa via separate pipelines)

  • Version Support: MySQL 5.7+, MariaDB 10.x+ full compatibility

  • Sync Patterns: High-throughput bulk loads with upsert/merge

  • Character Sets: UTF-8 and collation handling with validation

  • Compatibility: Broad MySQL/MariaDB version compatibility and type mapping

  • Connection Security: SSL certificate validation and encrypted connections

  • Data Types: Comprehensive type mapping and automatic conversions

  • Performance: Connection pooling and query optimization features

10. SFTP to PostgreSQL

Securely transfer file-based data from SFTP servers directly into PostgreSQL tables and schemas.

Key Technical Features:

  • Data Flow: SFTP → PostgreSQL

  • Security Protocols: SSH key authentication and password support

  • File Monitoring: Automatic detection and processing of new files

  • Pattern Matching: Regex support for selective file processing

  • File Formats: CSV, JSON, XML, and delimited text file support

  • Transformation: Pre-processing pipeline before PostgreSQL loading

  • Error Recovery: Automatic retry with exponential backoff strategies

  • Archive Management: Post-processing file archival and cleanup options

11. PostgreSQL to Oracle

Bridge PostgreSQL and Oracle databases for enterprise-grade multi-database architectures and migrations.

Key Technical Features:

  • Data Flow: PostgreSQL ↔ Oracle (bidirectional)

  • Data Types: Complex type mapping including CLOB, BLOB, and XMLType

  • Procedures: Support procedure calls where applicable; orchestrate via pipelines

  • Transaction Management: Bulk loads with upsert/merge patterns for reliable synchronization

  • Character Encoding: UTF-8 and various Oracle character set support

  • Performance: Bulk operations with array processing optimization

  • Security: Oracle Advanced Security and transparent data encryption

  • Migration Tools: Schema comparison and synchronization utilities

12. MongoDB to PostgreSQL

Migrate from document-based MongoDB architecture to relational PostgreSQL for structured data management.

Key Technical Features:

  • Data Flow: MongoDB → PostgreSQL

  • Document Handling: JSON/JSONB conversion with automatic schema detection

  • Collection Mapping: Automatic table creation from MongoDB collections

  • Indexing: Optional index creation on target tables

  • Nested Documents: Relational normalization of embedded document structures

  • Data Validation: Schema validation and constraint enforcement

  • Aggregation: Map fields/results from MongoDB aggregations into target tables

  • Performance: Bulk loading with optimized connection management

13. PostgreSQL to NetSuite

Integrate PostgreSQL with NetSuite ERP for comprehensive financial and operational data synchronization.

Key Technical Features:

  • Data Flow: PostgreSQL ↔ NetSuite

  • ERP Objects: Customers, vendors, transactions, inventory, and employee records

  • SuiteScript: Custom business logic execution and workflow support

  • Multi-Subsidiary: Global enterprise deployment with subsidiary isolation

  • Multi-Currency: Automated currency conversion and exchange rate management

  • Saved Searches: Advanced NetSuite query optimization and filtering

  • Audit Trails: Comprehensive compliance tracking and change management

  • Authentication: Token-based authentication with automatic renewal

14. AS400 to PostgreSQL

Modernize legacy IBM AS400 systems by migrating to PostgreSQL with preserved business logic and data integrity.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/postgresql/as400/

  • Data Flow: AS400 → PostgreSQL

  • Character Encoding: Encoding handling during ingestion (e.g., to UTF-8)

  • Workflows: Support file- and DB-based ingestion with field/type mapping

  • File Systems: Physical and logical file migration with relationship preservation

  • Data Types: AS400 packed decimal and binary field handling

  • Migration Options: One-time migration and ongoing synchronization support

  • Referential Integrity: Constraint preservation and automated validation

  • Performance: Optimized processing for large-scale legacy data volumes

15. PostgreSQL to Amazon S3

Archive and backup PostgreSQL data to Amazon S3 for cost-effective long-term storage and data lake architecture.

Key Technical Features:

  • Data Flow: PostgreSQL → Amazon S3

  • File Formats: CSV, JSON, Parquet, ORC, and Avro output options

  • Compression: Support for common compression formats (e.g., GZIP)

  • Partitioning: Date-based and custom partitioning strategies for optimization

  • Lifecycle: S3 lifecycle policy integration for automated cost management

  • Security: Server-side encryption with KMS key management

  • Incremental: Change-based incremental extracts for efficient files

  • Metadata: Comprehensive file and schema metadata preservation

Platform-Wide PostgreSQL Features

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

Technical Requirements:

  • PostgreSQL 10.x or above with logical replication enabled

  • pgoutput logical decoding plugin for WAL-based CDC operations

  • Database users with LOGIN and REPLICATION roles, CREATE permissions

  • Tables must have primary keys for CDC synchronization

  • Master instance configuration (read replicas not supported for CDC)

Performance & Scalability:

  • Cloud-native architecture with auto-scaling capabilities

  • Support for datasets from gigabytes to petabytes

  • Parallel processing with configurable concurrency

  • WAL-based replication with near real-time updates (frequent polling after the initial full load)

  • Heartbeat table updated every 10 minutes while the pipeline is running (prevents storage growth)

Security & Compliance:

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

  • End-to-end encryption for data in transit and at rest

  • Field-level encryption with comprehensive key management

  • IP allowlisting and SSH tunneling (including reverse)

Monitoring & Management:

  • Real-time pipeline monitoring dashboard with custom metrics

  • pg_stat_replication lag tracking and performance optimization

  • Custom alerting for SLA management and issue resolution

  • Comprehensive error logs with debugging and troubleshooting tools

  • 24/7 customer support with dedicated success engineers

Getting Started Resources

Documentation:

Learning Resources:

Support & Trial:

Conclusion

Integrate.io's comprehensive PostgreSQL connector ecosystem provides data teams with powerful, enterprise-grade solutions for bidirectional data integration. From simple file transfers to complex multi-database synchronization and real-time CDC capabilities, these connectors handle diverse use cases while maintaining enterprise security and performance standards. The platform's unique combination of WAL-based logical replication, 220+ built-in transformations, and fixed-fee pricing model positions it as the leading choice for PostgreSQL data integration needs.

Ready to transform your PostgreSQL data workflows? Start your 14-day free trial and experience the power of automated, scalable data integration with Integrate.io's PostgreSQL connectors. Visit the complete integration catalog to explore all available connectors.