Real-time sync
Changes in BetterContact or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep BetterContact 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.
BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into IBM AS/400, so IBM AS/400 always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Engineers integrate with tools like BetterContact through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in IBM AS/400.
Stacksync mirrors Company, Lead Finder Search, Enrichment Request, Enriched Contact from BetterContact into Rows / records, Journals and journal receivers, Data queues, Libraries in IBM AS/400 and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into BetterContact, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from BetterContact are ordinary rows in IBM AS/400; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in IBM AS/400 and Stacksync propagates the change into BetterContact, replacing custom integration code.
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.
| BetterContact objects | IBM AS/400 objects | How this pairing syncs | |
|---|---|---|---|
| Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Rows / records The unit of read and write, accessed via SQL or record-level access. | Lead Finder Search is specific to BetterContact and Rows / records to IBM AS/400 — each maps to any object or custom field on the other side. | |
| Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Journals and journal receivers The change log that enables log-based CDC on journaled files. | Enrichment Request is specific to BetterContact and Journals and journal receivers to IBM AS/400 — each maps to any object or custom field on the other side. | |
| Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | Enriched Contact is specific to BetterContact and Data queues to IBM AS/400 — each maps to any object or custom field on the other side. | |
| Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Libraries The schema-equivalent containers that scope which files a sync reads. | Company is specific to BetterContact and Libraries to IBM AS/400 — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.
DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.
DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.
DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating IBM AS/400 records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BetterContact–IBM AS/400 connection.
Changes in BetterContact or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BetterContact 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 BetterContact or IBM AS/400 record.
Track your BetterContact ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BetterContact 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 BetterContact 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 BetterContact 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 integration between BetterContact and IBM AS/400 — BetterContact is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both BetterContact 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 BetterContact: Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch. 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 BetterContact side: Company, Lead Finder Search, Enrichment Request, Enriched Contact, plus custom fields where BetterContact 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.
BetterContact is a read-only source, so this integration runs one-way: Stacksync reads from BetterContact in real time and delivers into IBM AS/400. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for BetterContact and IBM AS/400: One integration pattern for the whole stack; Read BetterContact with a query; Automate BetterContact from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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.
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Every pair below is a real-time, two-way sync. Search all 390 integrations available for BetterContact and IBM AS/400.