Two-way sync
Changes in Airtable or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable 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.
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 Airtable and IBM AS/400 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Airtable and IBM AS/400, so each workload runs on the engine that suits it.
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.
| Airtable objects | IBM AS/400 objects | |
|---|---|---|
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Libraries The schema-equivalent containers that scope which files a sync reads. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | |
| Linked records Cross-table references that carry relationships between synced tables. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Rows / records The unit of read and write, accessed via SQL or record-level access. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Journals and journal receivers The change log that enables log-based CDC on journaled files. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–IBM AS/400 connection.
Changes in Airtable or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or IBM AS/400 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or IBM AS/400 record.
Track your Airtable ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and IBM AS/400.
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.
Authenticate Airtable 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.
Pick the Airtable 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Airtable and IBM AS/400: authenticate both systems, choose the objects to sync (such as Airtable's Fields and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Airtable side: Fields, Views, Linked records, Attachments, plus custom fields where Airtable exposes them. On the IBM AS/400 side: Rows / records, Journals and journal receivers, Data queues, Libraries. 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.
Common patterns for Airtable and IBM AS/400: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Airtable: REST API (per-base Web API plus metadata and webhooks endpoints). Authentication: OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks. IBM AS/400: 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). Stacksync manages authentication, retries, and rate limits on both sides.
Airtable: Every base exposes its own REST endpoint, and the metadata API lets integrations read table and field schemas programmatically. IBM AS/400: Journaling writes row-level before/after images to journal receivers, which is the basis for log-based CDC on IBM i. Stacksync's field mapping accounts for these differences between Airtable and IBM AS/400 without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Airtable and IBM AS/400.