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Data warehouse ⇄ Database

Azure Synapse Analytics to IBM AS/400 integration — real-time, two-way sync

Keep Azure Synapse Analytics 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.

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Why teams connect Azure Synapse Analytics and IBM AS/400

Connect IBM AS/400 and Azure Synapse Analytics 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 Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into IBM AS/400, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Publish warehouse aggregates (account health scores, LTV) from Synapse back into operational tools like a CRM.
  • 02 Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.
  • 03 Keep customer and item files aligned with an ecommerce platform or modern ERP during phased modernization.
  • 04 Feed shipment and invoice data from the AS/400 into logistics and finance tools in near real time.

Common sync patterns

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

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

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Azure Synapse Analytics and IBM AS/400

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.

Azure Synapse Analytics objects IBM AS/400 objects How this pairing syncs
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Rows / records The unit of read and write, accessed via SQL or record-level access. Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Rows / records to IBM AS/400 — each maps to any object or custom field on the other side.
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Journals and journal receivers The change log that enables log-based CDC on journaled files. External tables is specific to Azure Synapse Analytics and Journals and journal receivers to IBM AS/400 — each maps to any object or custom field on the other side.
Views Curated projections used when downstream tools should not read base tables directly. Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. Views is specific to Azure Synapse Analytics and Data queues to IBM AS/400 — each maps to any object or custom field on the other side.
Schemas Namespaces that separate staging, integration, and presentation layers. Libraries The schema-equivalent containers that scope which files a sync reads. Schemas is specific to Azure Synapse Analytics and Libraries to IBM AS/400 — each maps to any object or custom field on the other side.
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Physical files (tables) The Db2 for i tables mapped directly to sync targets. Materialized views is specific to Azure Synapse Analytics and Physical files (tables) to IBM AS/400 — each maps to any object or custom field on the other side.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Logical files (views) Indexed or filtered views over physical files, usable as read sources. SQL pools is specific to Azure Synapse Analytics and Logical files (views) to IBM AS/400 — each maps to any object or custom field on the other side.

How changes propagate between Azure Synapse Analytics and IBM AS/400

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.

Azure Synapse Analytics IBM AS/400 Interval-based propagation

DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.

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

IBM AS/400 Azure Synapse Analytics 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 applied to Azure Synapse Analytics 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.
What ships with Azure Synapse Analytics ⇄ IBM AS/400

Connect Azure Synapse Analytics and IBM AS/400 for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics or IBM AS/400 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 Azure Synapse Analytics or IBM AS/400 record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and IBM AS/400.

How the Azure Synapse Analytics and IBM AS/400 connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

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.
How it works

How to connect Azure Synapse Analytics to IBM AS/400 — 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 Azure Synapse Analytics 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.

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

    Choose tables

    Pick the Azure Synapse Analytics 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Azure Synapse Analytics ⇄ IBM AS/400
    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
    Azure Synapse Analytics IBM AS/400
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Synapse Analytics and IBM AS/400 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.

Learn more about security
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→ 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 468 integrations available for Azure Synapse Analytics and IBM AS/400.

Popular · 7 of 468
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