Two-way sync
Changes in Amazon Redshift or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Kustomer 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. Teams, Tags, Notes, Customers from Kustomer land in Amazon Redshift as live tables, updated within seconds, and columns computed in Amazon Redshift write back to fields in Kustomer. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Amazon Redshift appear as fields in Kustomer, where the people working accounts actually see them.
Join Kustomer's relationship data with billing, product, and support data in Amazon Redshift to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Amazon Redshift can be written back, so warehouse-side cleanup actually fixes the CRM.
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 | Kustomer objects | |
|---|---|---|
| Stored Procedures SQL procedures sometimes invoked around load steps. | Customers The central record whose timeline aggregates every interaction; external attributes sync onto it. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Conversations Support threads across channels sync outward for analytics and CRM context. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Messages Individual messages within conversations support full-thread replication. | |
| Schemas Namespaces used to organize synced tables and control grants. | Companies Organization records group customers and map to CRM accounts. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Custom Objects (Klasses) Structured external records such as orders and subscriptions synced in to appear on the customer timeline. | |
| Views SQL views readable as modeled sources for reverse syncs. | Users Agent records map conversation ownership to people in other systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Kustomer connection.
Changes in Amazon Redshift or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Kustomer 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 Kustomer record.
Track your Amazon Redshift ⇄ Kustomer sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Kustomer.
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 Kustomer 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 Kustomer 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 Kustomer: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Stored Procedures and Users and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Kustomer side: Teams, Tags, Notes, Customers, plus custom fields where Kustomer exposes them. On the Amazon Redshift side: Views, Materialized Views, External Tables (Spectrum), Stored Procedures. 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 Kustomer: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Amazon Redshift appear as fields in Kustomer, where the people working accounts actually see them.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Kustomer: REST API. Authentication: API key used as a bearer token, scoped by role. Stacksync manages authentication, retries, and rate limits on both sides.
Kustomer: Custom object types are called Klasses, and they are the standard mechanism for landing external data like orders and subscriptions where agents work. Amazon Redshift: The Redshift Data API allows running SQL over HTTPS without managing persistent connections, which suits serverless integration jobs. Stacksync's field mapping accounts for these differences between Amazon Redshift and Kustomer 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 Kustomer.