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Database ⇄ CRM

IBM AS/400 to Vitally integration — real-time, two-way sync

Keep IBM AS/400 and Vitally in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect IBM AS/400 and Vitally

Treat Vitally like part of your database: its records live in IBM AS/400 as real tables, and writes in either place sync to the other in seconds.

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 Note, Conversation, NPS Response, Custom Trait from Vitally into Physical files (tables), Logical files (views), Members, Rows / records 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 Vitally 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.

Common use cases

  • 01 Push billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
  • 02 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
  • 03 Use journal-based change capture to replicate IBM i data into a cloud warehouse for reporting.
  • 04 Keep customer and item files aligned with an ecommerce platform or modern ERP during phased modernization.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Vitally become tables in IBM AS/400 you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to IBM AS/400 sync onto the matching records in Vitally, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.

What you can sync between IBM AS/400 and Vitally

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.

IBM AS/400 objects Vitally objects How this pairing syncs
Logical files (views) Indexed or filtered views over physical files, usable as read sources. NPS Response NPS survey responses for account-health reporting. Logical files (views) is specific to IBM AS/400 and NPS Response to Vitally — each maps to any object or custom field on the other side.
Members Sub-partitions of files in legacy applications, flattened or selected during syncs. Custom Trait Custom account and user traits for segmentation. Members is specific to IBM AS/400 and Custom Trait to Vitally — each maps to any object or custom field on the other side.
Rows / records The unit of read and write, accessed via SQL or record-level access. Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Rows / records is specific to IBM AS/400 and Account to Vitally — each maps to any object or custom field on the other side.
Journals and journal receivers The change log that enables log-based CDC on journaled files. User End users tied to accounts, including activity and custom traits. Journals and journal receivers is specific to IBM AS/400 and User to Vitally — each maps to any object or custom field on the other side.
Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. Organization Parent organizations for hierarchical B2B account structures. Data queues is specific to IBM AS/400 and Organization to Vitally — each maps to any object or custom field on the other side.
Libraries The schema-equivalent containers that scope which files a sync reads. Task CS tasks and follow-ups, readable and writable for workflow sync. Libraries is specific to IBM AS/400 and Task to Vitally — each maps to any object or custom field on the other side.

How changes propagate between IBM AS/400 and Vitally

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.

IBM AS/400 Vitally Sub-second propagation

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.

DeliveryEach detected change is written to Vitally through its API, with automatic retries and rate-limit backoff.

Vitally IBM AS/400 Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM AS/400: Bounded by system resources and subsystem configuration rather than an API quota.
  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with IBM AS/400 ⇄ Vitally

Connect IBM AS/400 and Vitally for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–Vitally connection.

Real-time

Two-way sync

Changes in IBM AS/400 or Vitally instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM AS/400 or Vitally data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single IBM AS/400 or Vitally record.

Observability

Monitoring

Track your IBM AS/400 ⇄ Vitally sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM AS/400 and Vitally.

How the IBM AS/400 and Vitally connectors work

IBM AS/400

Integration surface
SQL over JDBC/ODBC to Db2 for i (for example the JTOpen/jt400 driver), alongside native record-level access
Authentication
IBM i user profile credentials (database credentials)
Change detection
Journal-based CDC by reading journal receivers on journaled files; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by system resources and subsystem configuration rather than an API quota.

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works

How to connect IBM AS/400 to Vitally — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate IBM AS/400 and Vitally with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    IBM AS/400 connected
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM AS/400 and Vitally 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · IBM AS/400 ⇄ Vitally
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    IBM AS/400 Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

IBM AS/400 and Vitally integration FAQ

SECURITY

Security teams trust Stacksync

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for IBM AS/400 and Vitally.

Popular · 8 of 390
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