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CRM ⇄ Database

Apollo.io to Citus integration — real-time, two-way sync

Keep Apollo.io and Citus 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

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Why teams connect Apollo.io and Citus

Treat Apollo.io like part of your database: its records live in Citus 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 Citus, where it can be queried and joined like everything else.

Stacksync mirrors Accounts, People (database records), Sequences, Deals (Opportunities) from Apollo.io into Local tables, Schemas, Views, Sequences in Citus 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.
  • Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
  • Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.

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 Citus, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Apollo.io become tables in Citus you can join with application data directly.

What you can sync between Apollo.io and Citus

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 Citus objects
Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. Sequences Key generators that matter when external writes must not collide with application inserts.
Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets.
Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables.
Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables.
Accounts Company records with firmographic attributes, matched to CRM accounts during sync. Schemas Standard Postgres namespaces used to scope what a sync user can read and write.
People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. Views Curated projections over distributed data, often used as read-only sync sources.
What ships with Apollo.io ⇄ Citus

Connect Apollo.io and Citus for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Citus connection.

Real-time

Two-way sync

Changes in Apollo.io or Citus instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apollo.io or Citus 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 Citus record.

Observability

Monitoring

Track your Apollo.io ⇄ Citus 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 Citus.

How the Apollo.io and Citus 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

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC
How it works

How to connect Apollo.io to Citus — 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.

  1. 01

    Connect your apps

    Authenticate Apollo.io and Citus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apollo.io connected
    Citus connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apollo.io and Citus 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apollo.io ⇄ Citus
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apollo.io Citus
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apollo.io and Citus integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apollo.io and Citus.

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