Real-time sync
Changes in Apollo.io or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io 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 Apollo.io, so Apollo.io always reflects the current state of Tableau — without exports, scripts, or schedulers.
Tableau turns data into dashboards, cohorts, and metrics; Apollo.io 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 Contacts, Accounts, People (database records), Sequences from Apollo.io 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 Apollo.io, 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.
A continuously synced copy of Apollo.io's records and activity in Tableau keeps a queryable history even as records change or age out of the CRM.
Accounts, contacts, deals, and activity from Apollo.io sync into Tableau, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
New records and status changes in Apollo.io appear in Tableau within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
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.
| Apollo.io objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | Accounts is specific to Apollo.io and Views to Tableau — each maps to any object or custom field on the other side. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | People (database records) is specific to Apollo.io and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | 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. | Sequences is specific to Apollo.io and Users to Tableau — each maps to any object or custom field on the other side. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Deals (Opportunities) is specific to Apollo.io and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Tasks and calls is specific to Apollo.io and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Custom fields is specific to Apollo.io and Fields and Columns 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 Apollo.io for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at timestamps.
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 Apollo.io 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 Apollo.io through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Tableau connection.
Changes in Apollo.io or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io 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 Apollo.io or Tableau record.
Track your Apollo.io ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io 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 Apollo.io 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 Apollo.io 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 Apollo.io 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.
Change detection on Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. 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.
On the Tableau side: Users, Databases and Tables, Extract Refresh Tasks, Fields and Columns, plus custom fields where Tableau exposes them. On the Apollo.io side: Contacts, Accounts, People (database records), Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
Tableau is a read-only source, so this integration runs one-way: Stacksync reads from Tableau in real time and delivers into Apollo.io. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Apollo.io and Tableau: A record that outlives edits in the CRM; Customer context in Tableau; Report on live CRM data. A continuously synced copy of Apollo.io's records and activity in Tableau keeps a queryable history even as records change or age out of the CRM.
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Tableau: REST API, Metadata API (GraphQL), and VizQL Data Service. Authentication: Sign-in via Personal Access Token (PAT) or username/password returns a credentials token sent as the X-Tableau-Auth header; Connected Apps issue JWTs for OAuth-style access. One active session per PAT. 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 340 integrations available for Apollo.io and Tableau.