Real-time sync
Changes in Apollo.io or Microsoft Power Bi instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and Microsoft Power Bi in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Microsoft Power Bi 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 Microsoft Power Bi — without exports, scripts, or schedulers.
Microsoft Power Bi 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 Custom fields, Contacts, Accounts, People (database records) from Apollo.io into Microsoft Power Bi 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 Microsoft Power Bi 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.
Accounts, contacts, deals, and activity from Apollo.io sync into Microsoft Power Bi, 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 Microsoft Power Bi within seconds, so dashboards and cohorts track the current pipeline rather than last night's export.
Cohorts, scores, and computed metrics from Microsoft Power Bi sync onto fields in Apollo.io, 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.
| Apollo.io objects | Microsoft Power Bi objects | How this pairing syncs | |
|---|---|---|---|
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Datasources and Gateways The connections behind datasets and dataflows and the on-premises gateways serving them, read via REST for lineage and dependency mapping. | Tasks and calls is specific to Apollo.io and Datasources and Gateways to Microsoft Power Bi — 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. | Refresh History Dataset refresh runs read via GET /datasets/{id}/refreshes, including status, type, and timing, to alert on failed or slow scheduled refreshes. | Custom fields is specific to Apollo.io and Refresh History to Microsoft Power Bi — each maps to any object or custom field on the other side. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Workspaces (Groups) Containers for content read via GET /groups (tenant-wide via GET /admin/groups); mirrored to reproduce the tenant's content hierarchy in a catalog. | Contacts is specific to Apollo.io and Workspaces (Groups) to Microsoft Power Bi — each maps to any object or custom field on the other side. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Activity Events (Audit Log) Admin audit log of user and content actions read via GET /admin/activityevents; loaded for security, access, and usage reporting across the tenant. | Accounts is specific to Apollo.io and Activity Events (Audit Log) to Microsoft Power Bi — 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. | Users and Access Workspace users and roles read via GET /groups/{id}/users or the admin scanner APIs; read for access reviews and identity reconciliation against an IdP. | People (database records) is specific to Apollo.io and Users and Access to Microsoft Power Bi — 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. | Datasets (Semantic Models) Tabular models behind reports; their rows are read with DAX via POST datasets/{id}/executeQueries, and datasource and refresh metadata via REST list endpoints. | Sequences is specific to Apollo.io and Datasets (Semantic Models) to Microsoft Power Bi — 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.
DeliveryMicrosoft Power Bi does not accept inbound record writes, so this direction carries requests rather than records: Microsoft Power Bi's output flows back as field updates on the originating Apollo.io records.
DetectionStacksync polls Microsoft Power Bi for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: no webhooks or change-data-capture.
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–Microsoft Power Bi connection.
Changes in Apollo.io or Microsoft Power Bi instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or Microsoft Power Bi 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 Microsoft Power Bi record.
Track your Apollo.io ⇄ Microsoft Power Bi sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and Microsoft Power Bi.
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 Microsoft Power Bi 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 Microsoft Power Bi 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 Microsoft Power Bi — Microsoft Power Bi 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.
Yes — Stacksync ships production-grade connectors for both Apollo.io and Microsoft Power Bi. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Microsoft Power Bi: Pull-based: no webhooks or change-data-capture. Content is polled via REST list endpoints, dataset changes are inferred from Refresh History and the admin Activity Events audit log, and the scanner API's GetModifiedWorkspaces reports workspaces changed since a given time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Microsoft Power Bi side: Reports, Dashboards and Tiles, Dataflows, Datasources and Gateways, plus custom fields where Microsoft Power Bi exposes them. On the Apollo.io side: Custom fields, Contacts, Accounts, People (database records). Stacksync auto-detects both schemas and converts types between the two systems.
Microsoft Power Bi is a read-only source, so this integration runs one-way: Stacksync reads from Microsoft Power Bi 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 Microsoft Power Bi: Customer context in Microsoft Power Bi; Report on live CRM data; Where Apollo.io accepts updates: segments and scores back on the record. Accounts, contacts, deals, and activity from Apollo.io sync into Microsoft Power Bi, so metrics and dashboards group by real customers, segments, and stage instead of anonymous IDs.
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.
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Every pair below is a real-time, two-way sync. Search all 340 integrations available for Apollo.io and Microsoft Power Bi.