Real-time
Two-way sync
Changes in IBM AS/400 or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Database
IBM AS/400 to SingleStore integration — real-time, two-way sync
Keep IBM AS/400 and SingleStore 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 SingleStore
Keep IBM AS/400 and SingleStore synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between IBM AS/400 and SingleStore continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Feed shipment and invoice data from the AS/400 into logistics and finance tools in near real time.
- 02 Expose AS/400 order, inventory, and item master data to modern SaaS tools without rewriting green-screen applications.
- 03 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.
- 04 Sync results of real-time analytical queries back into business tools where teams act on them.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both IBM AS/400 and SingleStore, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between IBM AS/400 and SingleStore
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 | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | Stored Procedures Existing logic sometimes invoked on write paths. | Members is specific to IBM AS/400 and Stored Procedures to SingleStore — 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. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Rows / records is specific to IBM AS/400 and Indexes and Shard Keys to SingleStore — 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. | Databases The connection target containing the tables a sync addresses. | Journals and journal receivers is specific to IBM AS/400 and Databases to SingleStore — 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. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Data queues is specific to IBM AS/400 and Tables (rowstore and columnstore) to SingleStore — each maps to any object or custom field on the other side. | |
| Libraries The schema-equivalent containers that scope which files a sync reads. | Views Read-only projections used as curated sync sources. | Libraries is specific to IBM AS/400 and Views to SingleStore — each maps to any object or custom field on the other side. | |
| Physical files (tables) The Db2 for i tables mapped directly to sync targets. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Physical files (tables) is specific to IBM AS/400 and Reference Tables to SingleStore — each maps to any object or custom field on the other side. |
How changes propagate between IBM AS/400 and SingleStore
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 SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
SingleStore IBM AS/400 Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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.
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with IBM AS/400 ⇄ SingleStore
Connect IBM AS/400 and SingleStore for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–SingleStore connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever IBM AS/400 or SingleStore 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 SingleStore record.
Observability
Monitoring
Track your IBM AS/400 ⇄ SingleStore 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 SingleStore.
How the IBM AS/400 and SingleStore 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.
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
How it works
How to connect IBM AS/400 to SingleStore — 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.
- 01
Connect your apps
Authenticate IBM AS/400 and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
IBM AS/400
connected
SingleStore
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the IBM AS/400 and SingleStore 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.
objects · IBM AS/400 ⇄ SingleStoreCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
IBM AS/400 SingleStoreCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
IBM AS/400 and SingleStore integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between IBM AS/400 and SingleStore: authenticate both systems, choose the objects to sync (such as IBM AS/400's Members and Rows / records), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM AS/400 and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM AS/400–SingleStore integration in-house.
-
Yes — Stacksync ships production-grade connectors for both IBM AS/400 and SingleStore. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. On SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the IBM AS/400 side: Journals and journal receivers, Data queues, Libraries, Physical files (tables), plus custom fields where IBM AS/400 exposes them. On the SingleStore side: Indexes and Shard Keys, Databases, Tables (rowstore and columnstore), Views. Stacksync auto-detects both schemas and converts types between the two systems.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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
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 378 integrations available for IBM AS/400 and SingleStore.
Popular · 4 of 378
No integrations match .
