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Data warehouse ⇄ CRM

Amazon Redshift to Close integration — real-time, two-way sync

Keep Amazon Redshift and Close in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Migrated from Mulesoft
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Why teams connect Amazon Redshift and Close

Sync Close into Amazon Redshift continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

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. Activities, Tasks, Custom Activities, Custom Fields from Close land in Amazon Redshift as live tables, updated within seconds, and columns computed in Amazon Redshift write back to fields in Close. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Two-way sync between Close and a billing or ERP system so closed-won opportunities create customers and invoices automatically.
  • Keep Close contacts aligned with a marketing automation platform so outreach lists stay current.
  • Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.
  • Publish finance rollups computed in Redshift back to spreadsheets or operational tools.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Amazon Redshift appear as fields in Close, where the people working accounts actually see them.

A single customer view

Join Close's relationship data with billing, product, and support data in Amazon Redshift to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Amazon Redshift can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Amazon Redshift and Close

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 Close objects
Materialized Views Precomputed results that downstream syncs can read for performance. Contacts People nested under a lead, with emails and phone numbers used for outreach syncs.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems.
Stored Procedures SQL procedures sometimes invoked around load steps. Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics.
Users and Groups Principals used to grant a sync connection scoped access. Tasks Follow-up items assigned to users; synced for workload and SLA reporting.
Databases Top-level containers within a cluster or serverless workgroup. Custom Activities User-defined activity types with their own custom fields, mapped like standard activities.
Schemas Namespaces used to organize synced tables and control grants. Custom Fields Org-specific fields on leads, contacts, and opportunities; addressed by stable field ids in syncs.
What ships with Amazon Redshift ⇄ Close

Connect Amazon Redshift and Close for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Close connection.

Real-time

Two-way sync

Changes in Amazon Redshift or Close instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or Close data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Amazon Redshift or Close record.

Observability

Monitoring

Track your Amazon Redshift ⇄ Close sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Close.

How the Amazon Redshift and Close connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

Close

Integration surface
REST API
Authentication
API key (sent via HTTP Basic auth)
Change detection
Webhook subscriptions for record events, with polling on date_updated fields for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to per-endpoint rate limits communicated in response headers
How it works

How to connect Amazon Redshift to Close — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Amazon Redshift and Close with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Redshift connected
    Close connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Redshift and Close 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Redshift ⇄ Close
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Redshift Close
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Redshift and Close integration FAQ

SECURITY

Security teams love Stacksync

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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Redshift and Close.

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