Your systems have different data models, permissions and operating limits. Connectivity brings their information into business context while respecting how each source works.
View integrationsUplyst connects ERP, CRM, cloud infrastructure, data platforms, databases, APIs and industrial systems. Some sources offer event subscriptions or database change streams; others use scheduled exports or limited APIs.
The access pattern depends on documented capabilities, ownership and capacity. Network boundaries, access approval and maintenance windows are part of that choice.


Federated queries can access selected information at its source. Replication or materialization can support history, repeated joins and isolation from operational workloads. Change data capture represents database changes; application events can describe business changes that a row update alone does not explain.
These approaches can be combined. A design may query current reference data, maintain an analytical projection and receive time-sensitive events. Freshness, consistency and retention requirements determine where each fits.
| Pattern | Key considerations |
|---|---|
| API access | Pagination, limits, permissions and schema changes |
| Change data capture | Snapshot behavior, offsets and source log retention |
| Event subscription | Contract meaning, delivery and ordering |
| Federated query | Pushdown support, latency and source load |
| Batch transfer | Completeness, reconciliation and scheduling |
An integration contract covers identifiers, field meanings, units, nullability and change behavior. OpenAPI can describe an HTTP interface, while semantic mapping connects its fields to the business concepts used by consumers.
Source authentication and downstream authorization have different roles. A service credential may allow broad extraction while a user has narrower access. Those distinctions still matter when records are copied, cached, indexed or combined.
A connection can be healthy while its data is incomplete or outdated. Synchronization progress, rejected records, reconciliation differences and contract changes indicate whether downstream decisions have the information they need.
Recovery relies on a known position, such as a stream offset or batch boundary. If source history has expired, a new snapshot may be needed. Corrections and deletions must also reach recovered data.
A restored connection does not establish that every missed change has been reconciled.
Confirm a valid restart point, reconcile missed updates and deletions, and obtain a new snapshot if the source history cannot cover the gap. Decisions that depend on quantities wait for adequate evidence.
Source schemas, authentication options, change patterns and freshness requirements shape the integration. The teams that own and support each source are part of that planning.
Our integration guides describe common access patterns. Our team can help confirm the interface versions, permissions and scope available for your environment.