Real-time sync
Changes in DealCloud or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep DealCloud and Tableau in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tableau is a read-only source: Stacksync reads its data in real time and delivers it into DealCloud, so DealCloud always reflects the current state of Tableau — without exports, scripts, or schedulers.
Tableau turns data into dashboards, cohorts, and metrics; DealCloud is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.
Stacksync syncs Deal, Company, Contact, Fund from DealCloud into Tableau field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Tableau write back to fields in DealCloud, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Accounts, contacts, deals, and activity from DealCloud sync into Tableau, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
New records and status changes in DealCloud appear in Tableau within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
Cohorts, scores, and computed metrics from Tableau sync onto fields in DealCloud, putting the analysis where reps and owners actually work the accounts.
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 | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| User Synced with incremental and full sync. | Users Site users with site roles and group membership; read via REST for access reviews and to reconcile identities against an HR or IdP source. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in the writable direction. | |
| Fund Synced with incremental and full sync. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Fund is specific to DealCloud and Workbooks to Tableau — each maps to any object or custom field on the other side. | |
| Investment Synced with incremental and full sync. | Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | Investment is specific to DealCloud and Views to Tableau — each maps to any object or custom field on the other side. | |
| Relationship Synced with incremental and full sync. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Relationship is specific to DealCloud and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Activity Synced with incremental and full sync. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Activity is specific to DealCloud and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Task Synced with incremental and full sync. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Task is specific to DealCloud and Extract Refresh Tasks to Tableau — 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.
DeliveryTableau does not accept inbound record writes, so this direction carries requests rather than records: Tableau's output flows back as field updates on the originating DealCloud records.
DetectionTableau notifies Stacksync of record changes through webhook events. Webhooks fire on workbook and data source create/update/delete and extract refresh events.
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–Tableau connection.
Changes in DealCloud or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DealCloud or Tableau 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 Tableau record.
Track your DealCloud ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DealCloud and Tableau.
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 Tableau 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 Tableau 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 integration between DealCloud and Tableau — Tableau is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Tableau: The VizQL Data Service returns data from published data sources only, and queries respect the data source's row-level security and the signed-in user's permissions. DealCloud: DealCloud is Intapp's deal and relationship management platform, purpose-built for private capital markets (private equity, venture capital, investment banking, and advisory firms). Stacksync's field mapping accounts for these differences between DealCloud and Tableau without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means DealCloud and Tableau records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–Tableau integration in-house.
Yes — Stacksync ships production-grade connectors for both DealCloud and Tableau. 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 Tableau: Webhooks fire on workbook and data source create/update/delete and extract refresh events; otherwise content and metadata are polled via REST list endpoints (updatedAt) and the Metadata API. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 354 integrations available for DealCloud and Tableau.