TapData helps teams offload live IBM i / Db2 for i data to modern databases, Kafka / MQ, APIs, and downstream applications — while the core system continues handling trusted read-write transactions.
Common in financial services, manufacturing, hospitality, and other transaction-heavy AS/400 environments.
Reporting, risk, digital channels, service teams, and operational applications all need fresher IBM i data.
Scheduled extracts may work for reporting, but they are often too delayed for workflows that need current customer, transaction, risk, or service data.
Scripts, one-off APIs, and point-to-point feeds around AS/400 become fragile as more downstream systems ask for access.
Trusted read-write transactions
Full sync · Journal-based CDC · Validation · Managed pipelines
Downstream systems read from the offloaded layer
The core keeps running the business. TapData keeps the offloaded layer current for downstream consumption.
Most teams do not start with a full core replacement project. They start with one read-heavy or integration-heavy workflow around IBM i / Db2 for i.
When CRM, portals, reports, service teams, or internal apps keep reading IBM i data directly or waiting for scheduled extracts.
TapData fit
Move read-heavy access to a continuously updated serving layer, while IBM i continues handling trusted read-write transactions.
When AS/400 data needs to stay current in Oracle, MongoDB, MySQL, Kafka / MQ, ODS, ClickHouse, StarRocks, Doris, or other modern platforms.
TapData fit
Use full sync and journal-based CDC to keep target platforms updated without relying on one-time migration, batch jobs, or custom feeds.
When service teams, relationship managers, agents, or operations teams need current customer, account, policy, claim, transaction, or service-state data.
TapData fit
Serve customer-facing and service-facing workflows from the offloaded layer, so modern apps do not repeatedly query the core.
When risk, fraud, compliance, or operations teams need fresher signals from core transaction or operational systems.
TapData fit
Deliver changed Db2 for i data into monitoring, risk, analytics, or operational platforms where current signals can be consumed.
When IBM i data is distributed through scattered scripts, batch jobs, point-to-point interfaces, or one-off APIs.
TapData fit
Replace fragile custom feeds with managed full and incremental pipelines.
When digital applications, partner portals, internal services, or API layers need reliable access to IBM i data.
TapData fit
Keep API-ready or application-ready data current in the offloaded layer, so downstream services consume modern endpoints instead of accessing the core directly.
Move repeated downstream reads away from the IBM i core.
Use full sync and journal-based CDC to keep selected targets updated.
Replace scattered scripts, batch jobs, and one-off feeds with managed pipelines.
Validate one read-heavy or integration-heavy workflow first, then extend the pattern.
Each example follows the same before → TapData → after pattern: legacy sources on the left, TapData in the middle, and modern targets on the right.
IBM i / Oracle
Multiple CDC tools
Target DBs
Kafka
Apps
Gaming / Hotel
Loyalty / CRM
MongoDB
Profile API
Service apps
ERP / CRM
Factory / DB2 AS/400
Snowflake
BI
Analytics
You do not need to start with a full core replacement project. A practical first step is to pick one workflow where AS/400 data is already needed by a modern application, reporting system, risk platform, API layer, or Kafka / MQ feed.
Find a workflow where downstream reads are straining the IBM i core.
Pick a single destination — a database, ODS, API layer, or Kafka / MQ feed.
Confirm the offloaded target stays accurate and current against the core.
Reuse the proven pipeline approach across more downstream systems.
Share a few details and we'll follow up with a short walkthrough focused on your use case.
No need to plan a full migration. We usually start by reviewing one read-heavy or integration-heavy workflow.
