Two-way sync
Changes in Amazon Redshift or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want IBM AS/400's rows in Amazon Redshift, 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 Amazon Redshift in real time, and result tables in Amazon Redshift sync back into IBM AS/400, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Amazon Redshift and keep IBM AS/400 focused on its operational workload.
Rows from IBM AS/400 land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
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.
| Amazon Redshift objects | IBM AS/400 objects | |
|---|---|---|
| Views SQL views readable as modeled sources for reverse syncs. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Rows / records The unit of read and write, accessed via SQL or record-level access. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Journals and journal receivers The change log that enables log-based CDC on journaled files. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–IBM AS/400 connection.
Changes in Amazon Redshift or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or IBM AS/400 record.
Track your Amazon Redshift ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and IBM AS/400: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon Redshift side: Views, Materialized Views, External Tables (Spectrum), Stored Procedures, plus custom fields where Amazon Redshift exposes them. On the IBM AS/400 side: Data queues, Libraries, Physical files (tables), Logical files (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.
Common patterns for Amazon Redshift and IBM AS/400: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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.
Amazon Redshift: Redshift stores data in columnar format with distribution styles and sort keys that determine how efficiently sync writes and incremental reads perform. IBM AS/400: The integrated database is Db2 for i; tables are physical files organized into libraries, with logical files acting as views. Stacksync's field mapping accounts for these differences between Amazon Redshift 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 Amazon Redshift and IBM AS/400.