Real-time
Two-way sync
Changes in Apollo.io or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Apollo.io to Postgres Heroku integration — real-time, two-way sync
Keep Apollo.io and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apollo.io and Postgres Heroku
Treat Apollo.io like part of your database: its records live in Postgres Heroku as real tables, and writes in either place sync to the other in seconds.
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 Postgres Heroku, where it can be queried and joined like everything else.
Stacksync mirrors Contacts, Accounts, People (database records), Sequences from Apollo.io into Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku 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.
Common use cases
- Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
- Push CRM opportunity stages back into Apollo so reps see pipeline context while sequencing.
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Product events onto CRM records
Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Apollo.io arrive as row changes in Postgres Heroku, ready to drive jobs and notifications.
What you can sync between Apollo.io and Postgres Heroku
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 | Postgres Heroku 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. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Views Read-side projections exposed to outbound syncs. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Schemas Namespaces that scope which tables a sync reads and writes. |
What ships with Apollo.io ⇄ Postgres Heroku
Connect Apollo.io and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apollo.io or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Apollo.io or Postgres Heroku record.
Observability
Monitoring
Track your Apollo.io ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apollo.io and Postgres Heroku.
How the Apollo.io and Postgres Heroku connectors work
Apollo.io
- Integration surface
- REST API
- Authentication
- API key (passed in request headers); master keys unlock account-wide endpoints
- Change detection
- Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream
- Capabilities
- read · write
- Rate limits
- Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Apollo.io to Postgres Heroku — three steps, no code
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.
- 01
Connect your apps
Authenticate Apollo.io and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apollo.io
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apollo.io and Postgres Heroku 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.
objects · Apollo.io ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apollo.io Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apollo.io and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apollo.io and Postgres Heroku: 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.
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Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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Apollo.io: Apollo distinguishes between people in its global database and contacts saved to your account; only saved contacts carry your custom fields and sequence history. Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Stacksync's field mapping accounts for these differences between Apollo.io and Postgres Heroku without custom code.
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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 Postgres Heroku records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apollo.io and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apollo.io and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apollo.io and Postgres Heroku.
Popular · 8 of 386
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Apollo.io ⇄ Dynamo DB -
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Apollo.io ⇄ Firebase -
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Postgres Heroku ⇄ Freshworks CRM -
Postgres Heroku ⇄ Gladly -
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Postgres Heroku ⇄ Infor CRM
No integrations match .
