Skip to content
Database ⇄ Data warehouse

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

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

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect IBM AS/400 and Materialize

Connect IBM AS/400 and Materialize with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want IBM AS/400's rows in Materialize, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in IBM AS/400 where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in IBM AS/400 sync into Materialize in real time, and result tables in Materialize sync back into IBM AS/400, with schema and type mapping between the two systems handled for you.

Common use cases

  • Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
  • Read computed view results back into a CRM or application database as derived fields.
  • Use journal-based change capture to replicate IBM i data into a cloud warehouse for reporting.
  • Keep customer and item files aligned with an ecommerce platform or modern ERP during phased modernization.

Offload heavy reads

Point analytical queries at the synced copy in Materialize and keep IBM AS/400 focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from IBM AS/400 land in Materialize as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Materialize sync into IBM AS/400, where whatever reads from that database gets them without querying the warehouse.

What you can sync between IBM AS/400 and Materialize

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 Materialize objects
Physical files (tables) The Db2 for i tables mapped directly to sync targets. Sinks Outbound connections that emit view changes to Kafka topics.
Logical files (views) Indexed or filtered views over physical files, usable as read sources. Indexes In-memory arrangements that make view reads fast for serving workloads.
Members Sub-partitions of files in legacy applications, flattened or selected during syncs. Clusters Compute pools that isolate ingestion, view maintenance, and serving.
Rows / records The unit of read and write, accessed via SQL or record-level access. Connections & Secrets Stored credentials and endpoints used by sources and sinks.
Journals and journal receivers The change log that enables log-based CDC on journaled files. Schemas & Databases Namespaces that organize objects a sync targets.
Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
What ships with IBM AS/400 ⇄ Materialize

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

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

Real-time

Two-way sync

Changes in IBM AS/400 or Materialize 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 Materialize 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 Materialize record.

Observability

Monitoring

Track your IBM AS/400 ⇄ Materialize 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 Materialize.

How the IBM AS/400 and Materialize 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.

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

How to connect IBM AS/400 to Materialize — 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 Materialize 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
    Materialize connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM AS/400 and Materialize 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 ⇄ Materialize
    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 Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

IBM AS/400 and Materialize integration FAQ

SECURITY

Security teams love 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for IBM AS/400 and Materialize.

Popular · 8 of 386
All IBM AS/400 integrations All Materialize integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own