Two-way sync
Changes in Apollo.io or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and Google Cloud Platform 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. Sequences, Deals (Opportunities), Tasks and calls, Custom fields from Apollo.io land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Apollo.io. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Apollo.io, where the people working accounts actually see them.
Join Apollo.io's relationship data with billing, product, and support data in Google Cloud Platform to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
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 | Google Cloud Platform objects | |
|---|---|---|
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Google Cloud Platform connection.
Changes in Apollo.io or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or Google Cloud Platform 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 Google Cloud Platform record.
Track your Apollo.io ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and Google Cloud Platform.
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 Google Cloud Platform 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 Google Cloud Platform 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 Apollo.io and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Apollo.io's Contacts and Accounts), map fields visually, and changes propagate both ways 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 Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apollo.io side: Sequences, Deals (Opportunities), Tasks and calls, Custom fields, plus custom fields where Apollo.io exposes them. On the Google Cloud Platform side: Cloud SQL databases, Cloud Storage objects, Pub/Sub topics, Firestore documents. 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 Apollo.io and Google Cloud Platform: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Apollo.io, where the people working accounts actually see them.
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. 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 386 integrations available for Apollo.io and Google Cloud Platform.