In modern data-driven environments, seamless integration between Salesforce and PostgreSQL is essential for analytics, automation, and synchronization.

With ExcelTL, you can easily connect these two systems — enabling secure, no-code data pipelines that move information in any direction you need.

🔄 Scenario 1: Salesforce → PostgreSQL (One-way Data Migration)

🧩 Use case:

You want to migrate Salesforce Lead or Contact records into a PostgreSQL table for analytics or reporting purposes.

🛠️ Steps:

1. Extract:

   • Connect to Salesforce via REST or Bulk API.

   • Query SELECT Id, Name, Email, Company, CreatedDate FROM Lead.

2. Transform:

   • Clean up email formats.

   • Normalize company names (e.g., uppercase).

   • Add migration timestamp.

3. Load:

   • Insert data into a PostgreSQL table.

4. Test:

   • Ensure row counts match.

   • Validate specific values and null checks.

🔄 Scenario 2: PostgreSQL → Salesforce (Data Upload)

🧩 Use case:

You have customer or product data in a PostgreSQL database and want to upload it into Salesforce Custom Objects.

🛠️ Steps:

1. Extract:

   • Query SELECT * FROM customer_data.

2. Transform:

   • Map customer_id to ExternalId__c.

   • Format phone numbers.

3. Load:

   • Upsert into Salesforce Customer__c using ExternalId__c.

4. Test:

   • Use Salesforce query tool or REST API to verify inserted records.

🔁 Scenario 3: Bi-directional Sync (Upsert Logic)

🧩 Use case:

You need to sync data between PostgreSQL and Salesforce based on last_modified_date.

🛠️ Steps:

1. Extract:

   • Fetch Salesforce records updated after the last sync.

   • Fetch PostgreSQL records updated after the same timestamp.

2. Transform:

   • Merge and deduplicate data.

   • Add sync logic to resolve conflicts (e.g., last-write-wins).

3. Load:

   • Upsert to both systems.

   • Track which system the record was last updated in.

🧪 Scenario 4: Audit + Logging Flow

🧩 Use case:

Track changes in Salesforce and write audit logs to PostgreSQL.

🛠️ Steps:

1. Extract:

   • Enable Field History Tracking in Salesforce.

   • Use SOQL to pull recent changes.

2. Transform:

   • Format into audit rows: object, field, old_value, new_value, modified_by, modified_at.

3. Load:

   • Insert into PostgreSQL audit_log table.

🧠 Scenario 5: Trigger-Based Integration (Optional Advanced)

🧩 Use case:

When a PostgreSQL row is inserted (e.g., new order), trigger a Salesforce Order__c creation.

🛠️ Steps:

• Add a PostgreSQL trigger to a table.

• On new insert, queue a job (write to a staging table or Kafka-like queue).

• Let ExcelTL poll this staging table and push to Salesforce.

🚀 Power Integration with ExcelTL

With ExcelTL, all these integrations can be visually configured — no coding required.

Whether you’re synchronizing data, building analytics pipelines, or implementing automated workflows, ExcelTL helps you connect Salesforce and PostgreSQL securely, efficiently, and intelligently.