Two-way sync
Changes in IBM Db2 or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 and Yellowbrick 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 Db2's rows in Yellowbrick, 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 Db2 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 Db2 sync into Yellowbrick in real time, and result tables in Yellowbrick sync back into IBM Db2, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Yellowbrick and keep IBM Db2 focused on its operational workload.
Rows from IBM Db2 land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Yellowbrick sync into IBM Db2, where whatever reads from that database gets them without querying the warehouse.
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 Db2 objects | Yellowbrick objects | |
|---|---|---|
| Stored Procedures Existing business logic sometimes invoked as part of write paths. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| Sequences ID generation relevant when external systems insert rows. | Databases Top-level containers for schemas and tables. | |
| Tablespaces Physical storage layout that operators consider when adding synced tables. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Databases The connection target; each database holds the schemas a sync addresses. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Schemas Namespaces separating synced data from application and system objects. | Views Logical views used to shape reads for BI and downstream syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–Yellowbrick connection.
Changes in IBM Db2 or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 or Yellowbrick 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 Db2 or Yellowbrick record.
Track your IBM Db2 ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 and Yellowbrick.
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 Db2 and Yellowbrick 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 Db2 and Yellowbrick 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 Db2 and Yellowbrick: authenticate both systems, choose the objects to sync (such as IBM Db2's Stored Procedures and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yellowbrick: The engine is a distributed MPP columnar system deployable on-premises and in public clouds. IBM Db2: Db2 LUW supports both row-organized and column-organized tables, letting the same database serve transactional and analytical access. Stacksync's field mapping accounts for these differences between IBM Db2 and Yellowbrick without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means IBM Db2 and Yellowbrick records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Db2 and Yellowbrick connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Db2–Yellowbrick integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Db2 and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Db2: Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 IBM Db2 and Yellowbrick.