Two-way sync
Changes in Amazon Redshift or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Salesforce in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Opportunities, Cases, Campaigns, Tasks and Events from Salesforce land in Amazon Redshift as live tables, updated within seconds, and columns computed in Amazon Redshift write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Salesforce are queryable in Amazon Redshift moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Amazon Redshift appear as fields in Salesforce, where the people working accounts actually see them.
Join Salesforce's relationship data with billing, product, and support data in Amazon Redshift to build the customer picture the CRM alone cannot hold.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Amazon Redshift objects | Salesforce objects | |
|---|---|---|
| Tables Columnar tables used as sync destinations for SaaS and database data. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | |
| Views SQL views readable as modeled sources for reverse syncs. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Salesforce connection.
Changes in Amazon Redshift or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or Salesforce record.
Track your Amazon Redshift ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Salesforce.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Amazon Redshift and Salesforce with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon Redshift and Salesforce objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon Redshift and Salesforce: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Salesforce side: Opportunities, Cases, Campaigns, Tasks and Events, plus custom fields where Salesforce exposes them. On the Amazon Redshift side: Databases, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon Redshift and Salesforce: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from Salesforce are queryable in Amazon Redshift moments after they change, so dashboards stop lagging the reality they describe.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Salesforce: REST, SOAP, and Bulk APIs. Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode. Stacksync manages authentication, retries, and rate limits on both sides.
Salesforce: Non-writable objects, non-triggerable objects (trigger mode), and tables without a last_modified_data column (polling mode) cannot be synced yet. Amazon Redshift: Redshift stores data in columnar format with distribution styles and sort keys that determine how efficiently sync writes and incremental reads perform. Stacksync's field mapping accounts for these differences between Amazon Redshift and Salesforce without custom code.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Redshift and Salesforce.