Two-way sync
Changes in Apollo.io or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors People (database records), Sequences, Deals (Opportunities), Tasks and calls from Apollo.io into Columns, Primary and Unique Keys, JSONB Columns, Sequences in PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Apollo.io with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to PostgreSQL sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
Field and stage updates in Apollo.io arrive as row changes in PostgreSQL, ready to drive jobs and notifications.
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 | PostgreSQL objects | |
|---|---|---|
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Schemas Namespaces that scope which tables a sync reads and writes. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–PostgreSQL connection.
Changes in Apollo.io or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or PostgreSQL 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 PostgreSQL record.
Track your Apollo.io ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and PostgreSQL.
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 PostgreSQL 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 PostgreSQL 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 PostgreSQL: authenticate both systems, choose the objects to sync (such as Apollo.io's Sequences and Deals (Opportunities)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Apollo.io and PostgreSQL records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apollo.io and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–PostgreSQL integration in-house.
Yes — Stacksync ships production-grade connectors for both Apollo.io and PostgreSQL. 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 PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. 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: People (database records), Sequences, Deals (Opportunities), Tasks and calls, plus custom fields where Apollo.io exposes them. On the PostgreSQL side: Columns, Primary and Unique Keys, JSONB Columns, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
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 PostgreSQL.