Two-way sync
Changes in Apollo.io or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and Azure SQL Database 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 Azure SQL Database, where it can be queried and joined like everything else.
Stacksync mirrors Deals (Opportunities), Tasks and calls, Custom fields, Contacts from Apollo.io into Tables, Views, Schemas, Rows and columns in Azure SQL Database 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.
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 Azure SQL Database, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Apollo.io become tables in Azure SQL Database you can join with application data directly.
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 | Azure SQL Database objects | |
|---|---|---|
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Change tracking / CDC tables System-maintained change records used to drive incremental sync. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Tables The primary sync target; rows map one-to-one to records in the paired system. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Schemas Namespaces that organize tables and control which objects a sync user can reach. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Rows and columns Standard relational records with typed columns; primary keys anchor upserts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Azure SQL Database connection.
Changes in Apollo.io or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or Azure SQL Database 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 Azure SQL Database record.
Track your Apollo.io ⇄ Azure SQL Database sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and Azure SQL Database.
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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database: 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.
Yes — Stacksync ships production-grade connectors for both Apollo.io and Azure SQL Database. 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 Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback. 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: Deals (Opportunities), Tasks and calls, Custom fields, Contacts, plus custom fields where Apollo.io exposes them. On the Azure SQL Database side: Tables, Views, Schemas, Rows and columns. 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 Azure SQL Database: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
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 Azure SQL Database.