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Data warehouse ⇄ Database

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

Keep Apache Druid 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 Apache Druid and IBM AS/400

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

Common use cases

  • Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • 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.

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

Aggregates or model outputs computed in Apache Druid 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 Apache Druid 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.

Apache Druid objects IBM AS/400 objects
Dimensions String and categorical columns used for filtering and grouping in synced queries. Physical files (tables) The Db2 for i tables mapped directly to sync targets.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Logical files (views) Indexed or filtered views over physical files, usable as read sources.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Members Sub-partitions of files in legacy applications, flattened or selected during syncs.
Lookups Key-value mappings joined at query time, refreshable from external systems. Rows / records The unit of read and write, accessed via SQL or record-level access.
Tasks Batch ingestion and compaction jobs monitored during data loads. Journals and journal receivers The change log that enables log-based CDC on journaled files.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Data queues Program-to-program messaging objects sometimes used to hand events off to integrations.
What ships with Apache Druid ⇄ IBM AS/400

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

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

Real-time

Two-way sync

Changes in Apache Druid 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 Apache Druid 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 Apache Druid or IBM AS/400 record.

Observability

Monitoring

Track your Apache Druid ⇄ 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 Apache Druid and IBM AS/400.

How the Apache Druid and IBM AS/400 connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid IBM AS/400
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and IBM AS/400 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 Apache Druid and IBM AS/400.

Popular · 8 of 386
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