Two-way sync
Changes in Apollo.io or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and Neo4j 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 Neo4j, 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 Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j 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.
Field and stage updates in Apollo.io arrive as row changes in Neo4j, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Apollo.io become tables in Neo4j you can join with application data directly.
Signup, usage, or lifecycle changes written to Neo4j sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
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 | Neo4j objects | |
|---|---|---|
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Users & Roles Security principals controlling what an integration credential can query or modify. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Relationships Typed, directed edges that carry the connections syncs exist to model. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Neo4j connection.
Changes in Apollo.io or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or Neo4j 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 Neo4j record.
Track your Apollo.io ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and Neo4j.
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 Neo4j 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 Neo4j 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 Neo4j: 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.
On the Apollo.io side: People (database records), Sequences, Deals (Opportunities), Tasks and calls, plus custom fields where Apollo.io exposes them. On the Neo4j side: Labels, Indexes & Constraints, Databases, Users & Roles. 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 Neo4j: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Apollo.io arrive as row changes in Neo4j, ready to drive jobs and notifications.
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
Apollo.io: Enrichment endpoints consume plan credits, so sync jobs that trigger enrichment have a cost dimension beyond rate limits. Neo4j: Client drivers connect over the Bolt binary protocol rather than HTTP for query workloads. Stacksync's field mapping accounts for these differences between Apollo.io and Neo4j 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 Neo4j.