Two-way sync
Changes in IBM AS/400 or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep IBM AS/400 and Vertica 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 Vertica, 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 Vertica in real time, and result tables in Vertica 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 Vertica and keep IBM AS/400 focused on its operational workload.
Rows from IBM AS/400 land in Vertica 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.
| IBM AS/400 objects | Vertica objects | How this pairing syncs | |
|---|---|---|---|
| Rows / records The unit of read and write, accessed via SQL or record-level access. | External Tables Data queried in place on files or object storage without loading. | Rows / records is specific to IBM AS/400 and External Tables to Vertica — 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. | Schemas Namespaces used to organize synced datasets by domain or source. | Journals and journal receivers is specific to IBM AS/400 and Schemas to Vertica — 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 Columnar tables; the primary read and write targets for syncs. | Data queues is specific to IBM AS/400 and Tables to Vertica — each maps to any object or custom field on the other side. | |
| Libraries The schema-equivalent containers that scope which files a sync reads. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Libraries is specific to IBM AS/400 and Projections to Vertica — 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. | Views Logical views used to shape reads for downstream consumers. | Physical files (tables) is specific to IBM AS/400 and Views to Vertica — each maps to any object or custom field on the other side. | |
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | Logical files (views) is specific to IBM AS/400 and Flex Tables to Vertica — each maps to any object or custom field on the other side. |
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.
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 Vertica as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.
DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–Vertica connection.
Changes in IBM AS/400 or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM AS/400 or Vertica data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM AS/400 or Vertica record.
Track your IBM AS/400 ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM AS/400 and Vertica.
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 IBM AS/400 and Vertica 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 IBM AS/400 and Vertica 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 IBM AS/400 and Vertica: authenticate both systems, choose the objects to sync (such as IBM AS/400's Rows / records and Journals and journal receivers), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Vertica side: Projections, Views, Flex Tables, External Tables, plus custom fields where Vertica exposes them. On the IBM AS/400 side: Members, Rows / records, Journals and journal receivers, Data queues. 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 IBM AS/400 and Vertica: 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.
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). Vertica: SQL over JDBC, ODBC, and ADO.NET drivers. Authentication: Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Vertica: Eon mode separates compute from communal object storage, letting subclusters scale independently of the data. 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 IBM AS/400 and Vertica 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 367 integrations available for IBM AS/400 and Vertica.