Two-way sync
Changes in Apollo.io or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and Azure Synapse Analytics 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. Deals (Opportunities), Tasks and calls, Custom fields, Contacts from Apollo.io land in Azure Synapse Analytics as live tables, updated within seconds, and columns computed in Azure Synapse Analytics write back to fields in Apollo.io. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Accounts, contacts, and activity from Apollo.io are queryable in Azure Synapse Analytics moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Azure Synapse Analytics 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 Azure Synapse Analytics to build the customer picture the CRM alone cannot hold.
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 Synapse Analytics objects | |
|---|---|---|
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Views Curated projections used when downstream tools should not read base tables directly. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Schemas Namespaces that separate staging, integration, and presentation layers. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Azure Synapse Analytics connection.
Changes in Apollo.io or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or Azure Synapse Analytics 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 Synapse Analytics record.
Track your Apollo.io ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and Azure Synapse Analytics.
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 Synapse Analytics 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 Synapse Analytics 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 Synapse Analytics: authenticate both systems, choose the objects to sync (such as Apollo.io's People (database records) and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apollo.io side: Deals (Opportunities), Tasks and calls, Custom fields, Contacts, plus custom fields where Apollo.io exposes them. On the Azure Synapse Analytics side: Schemas, Materialized views, SQL pools, Tables (dedicated SQL pool). 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 Synapse Analytics: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from Apollo.io are queryable in Azure Synapse Analytics moments after they change, so dashboards stop lagging the reality they describe.
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. Stacksync manages authentication, retries, and rate limits on both sides.
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. Azure Synapse Analytics: The serverless SQL pool queries files in the data lake directly, so some 'tables' a sync sees are projections over Parquet or CSV rather than managed storage. Stacksync's field mapping accounts for these differences between Apollo.io and Azure Synapse Analytics without custom code.
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 Synapse Analytics.