Two-way sync
Changes in DealCloud or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Keep DealCloud and Teradata Vantage 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. Fund, Investment, Relationship, Activity from DealCloud land in Teradata Vantage as live tables, updated within seconds, and columns computed in Teradata Vantage write back to fields in DealCloud. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in Teradata Vantage can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from DealCloud are queryable in Teradata Vantage moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Teradata Vantage appear as fields in DealCloud, where the people working accounts actually see them.
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.
| DealCloud objects | Teradata Vantage objects | How this pairing syncs | |
|---|---|---|---|
| User Synced with incremental and full sync. | Users In Teradata, users are databases with a password, and they own objects and space. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Relationship Synced with incremental and full sync. | Stored procedures Server-side logic sometimes invoked as part of load workflows. | Relationship is specific to DealCloud and Stored procedures to Teradata Vantage — each maps to any object or custom field on the other side. | |
| Activity Synced with incremental and full sync. | Columns Teradata SQL types mapped to the paired system's field types during sync. | Activity is specific to DealCloud and Columns to Teradata Vantage — each maps to any object or custom field on the other side. | |
| Task Synced with incremental and full sync. | Databases Hierarchical containers that own tables and space allocations. | Task is specific to DealCloud and Databases to Teradata Vantage — each maps to any object or custom field on the other side. | |
| Deal Synced with incremental and full sync. | Tables The primary sync unit for both extraction and loading. | Deal is specific to DealCloud and Tables to Teradata Vantage — each maps to any object or custom field on the other side. | |
| Company Synced with incremental and full sync. | Views The conventional access layer in Teradata shops; syncs often read views rather than base tables. | Company is specific to DealCloud and Views to Teradata Vantage — 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 DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is applied to Teradata Vantage as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Teradata Vantage for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.
DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Teradata Vantage connection.
Changes in DealCloud or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DealCloud or Teradata Vantage data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DealCloud or Teradata Vantage record.
Track your DealCloud ⇄ Teradata Vantage sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DealCloud and Teradata Vantage.
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 DealCloud and Teradata Vantage 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 DealCloud and Teradata Vantage 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 DealCloud and Teradata Vantage: authenticate both systems, choose the objects to sync (such as DealCloud's User and Relationship), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both DealCloud and Teradata Vantage. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. On Teradata Vantage: Query-based polling; the SQL surface exposes no externally consumable change log. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the DealCloud side: Fund, Investment, Relationship, Activity, plus custom fields where DealCloud exposes them. On the Teradata Vantage side: Tables, Views, Macros, 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 DealCloud and Teradata Vantage: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Teradata Vantage can be written back, so warehouse-side cleanup actually fixes the CRM.
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 392 integrations available for DealCloud and Teradata Vantage.