Buyers arrive with a name in mind. These pages put Lima Backbone beside that product, item by item: what each does, where it runs, how you pay, how each handles SAP and Oracle, change capture, deadlines, bad records, write-back and planning targets. Every fact about the other product is dated and linked to its source, and every page says when the other product is the better fit.
Managed connectors that copy data into a warehouse, and SQL transformation inside it; one company since June 1, 2026.
Open the comparison →The Intelligent Data Management Cloud and its on-premise predecessor PowerCenter; part of Salesforce since November 18, 2025.
Open the comparison →Qlik Talend Cloud, Qlik Replicate and Talend Studio; the SAP ODP path affected by SAP Note 3255746.
Open the comparison →The scheduler Lima itself runs on, and the managed service for it. A comparison of what an orchestrator does and what an engine does.
Open the comparison →An integration platform for applications and APIs, with a data-integration product from the Rivery acquisition and SAP change capture through an add-on.
Open the comparison →BMC's enterprise workload automation, with certified SAP job control and SLA management. Lima jobs run inside it.
Open the comparison →| Item | Typical in the products compared | Lima Backbone |
|---|---|---|
| How you pay | By rows moved, credits or processing units consumed, connections, jobs or hours (vendor pricing pages) | By the tier your estate needs; the price does not change with rows, connections or jobs |
| SAP extraction | Database-level or ODP-based paths, an add-on in SAP, or SAP's own capacity-metered services (vendor docs) | Released interfaces only; nothing installed in SAP; compliance statement names the interfaces |
| Write-back to the ERP | Application integration products write to applications; copy products are read-only or write to SaaS destinations (vendor docs) | BAPIs, IDocs, Oracle interfaces; each write keyed and confirmed; a ledger per write |
| Planning applications | Reached through general connectors or file drops | Six planning applications as packaged targets, each with its data model described |
| A bad record | Sync-level alerts; data-quality products as a separate service | Kept, routed to its owner with a deadline, replayed once fixed |
| A deadline | Schedules; alerts when a run exceeds a time (Airflow 3.1); SLA chains in schedulers | A run window with a business deadline; a failed check pauses the run and the clock; resume and replay |
Open the comparison, then test the one claim on your own data in a two-week bake-off.
