Two-way sync
Changes in Apollo.io or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io and IBM AS/400 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 IBM AS/400, where it can be queried and joined like everything else.
Stacksync mirrors Contacts, Accounts, People (database records), Sequences from Apollo.io into Rows / records, Journals and journal receivers, Data queues, Libraries in IBM AS/400 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.
Accounts, contacts, and custom objects from Apollo.io become tables in IBM AS/400 you can join with application data directly.
Signup, usage, or lifecycle changes written to IBM AS/400 sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
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 | IBM AS/400 objects | |
|---|---|---|
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Rows / records The unit of read and write, accessed via SQL or record-level access. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Journals and journal receivers The change log that enables log-based CDC on journaled files. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Libraries The schema-equivalent containers that scope which files a sync reads. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–IBM AS/400 connection.
Changes in Apollo.io or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io or IBM AS/400 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 IBM AS/400 record.
Track your Apollo.io ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io and IBM AS/400.
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 IBM AS/400 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 IBM AS/400 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 IBM AS/400: authenticate both systems, choose the objects to sync (such as Apollo.io's Custom fields and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apollo.io and IBM AS/400 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–IBM AS/400 integration in-house.
Yes — Stacksync ships production-grade connectors for both Apollo.io and IBM AS/400. 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 IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; 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: Contacts, Accounts, People (database records), Sequences, plus custom fields where Apollo.io exposes them. On the IBM AS/400 side: Rows / records, Journals and journal receivers, Data queues, Libraries. 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.
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 IBM AS/400.