Two-way sync
Changes in Amazon Redshift or Clari instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Clari 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, Activity (Capture), Account field extensions, Opportunity field extensions from Clari land in Amazon Redshift as live tables, updated within seconds, and columns computed in Amazon Redshift write back to fields in Clari. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Clari'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.
Accounts, contacts, and activity from Clari are queryable in Amazon Redshift moments after they change, so dashboards stop lagging the reality they describe.
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 | Clari objects | How this pairing syncs | |
|---|---|---|---|
| Users and Groups Principals used to grant a sync connection scoped access. | Activity (Capture) Meetings, emails, and attachments captured by Clari and mapped to accounts and opportunities; exported read-only via async activity jobs. | Users and Groups is specific to Amazon Redshift and Activity (Capture) to Clari — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Account field extensions External data points written onto Account records through the ingest API in initial or incremental mode; requires an apikey plus a partnerkey. | Databases is specific to Amazon Redshift and Account field extensions to Clari — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | Opportunity field extensions Warehouse-computed fields pushed onto Opportunity records via the ingest API; up to 100 records per request or 10MB bulk files. | Schemas is specific to Amazon Redshift and Opportunity field extensions to Clari — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Audit Events User edits and system events exported with filtering by actor, session, and date range; read-only feed for change tracking and compliance. | Tables is specific to Amazon Redshift and Audit Events to Clari — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | Forecast Exported per forecast tab and fiscal period via async jobs; includes submitted forecast calls, updates, manager adjustments, and CRM totals. Read-only. | Views is specific to Amazon Redshift and Forecast to Clari — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Quota Quota and quota-history values exported alongside forecast data, scoped by fiscal quarter; read-only, useful for warehouse attainment reporting. | Materialized Views is specific to Amazon Redshift and Quota to Clari — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
DeliveryEach detected change is written to Clari through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Clari for changes on an incremental schedule, reading only records changed since the previous pass. Polling — reads run as asynchronous export jobs (submit export, poll job status, download results).
DeliveryEach detected change is applied to Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Clari connection.
Changes in Amazon Redshift or Clari instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Clari 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 Clari record.
Track your Amazon Redshift ⇄ Clari sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Clari.
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 Clari 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 Clari 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 Clari: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Users and Groups and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. On Clari: Polling — reads run as asynchronous export jobs (submit export, poll job status, download results); the ingest API supports an incremental mode for regular field updates. No webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Clari side: Opportunities, Activity (Capture), Account field extensions, Opportunity field extensions, plus custom fields where Clari exposes them. On the Amazon Redshift side: External Tables (Spectrum), Stored Procedures, Users and Groups, Databases. 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 Clari: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Clari's relationship data with billing, product, and support data in Amazon Redshift to build the customer picture the CRM alone cannot hold.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Clari: REST APIs on api.clari.com - Export API (v4, asynchronous bulk jobs for forecast, quota, activity, and audit) and Ingest API (v2, field extensions); Opportunity reads are synchronous via GET /opportunity. Authentication: API token in the apikey header, generated per user in Settings; ingest/partner endpoints also require a partnerkey header, and Copilot endpoints require X-Api-Key and X-Api-Password. Stacksync manages authentication, retries, and rate limits on both sides.
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 458 integrations available for Amazon Redshift and Clari.