Connectors Kinaxis Maestro

Kinaxis Maestro, loaded from your ERP on your planning calendar.

Kinaxis Maestro (formerly RapidResponse) plans supply, demand and inventory on a model of linked tables: Part, PartSource, BillOfMaterial, OnHand, ScheduledReceipt, IndependentDemand, Constraint and Calendar. Lima builds those tables from the ERP, loads them in referential order through Maestro's integration interfaces, and reads planned orders back for write-back to SAP or Oracle. Lima has run this loop in production since 2021.

ERPS AND EXECUTION SYSTEMSSAP ECC · S/4HANAreleased interfacesOracle EBS · Fusion · JDEdatabase reads · APIsOther ERPs and WMSAPIs · database readsLIMA BACKBONEExtractfull, then changes onlyCheckcompleteness · consistency · orderShape and loadinto Kinaxis's model, on the calendarPLANNING APPLICATIONKinaxis MaestroLinked tables: Part → PartSource → Bill…THE APPROVED PLAN RETURNS TO THE ERP · EACH WRITE CONFIRMED
How Kinaxis Maestro fits the six Backbone steps. It is a planning target: the ERP's data is shaped into its model and loaded on the calendar; the plan is read back for the ERP.
3
ways to load it
this connector
2
patterns supported
this connector
3
ways to run: SaaS, private cloud, on-premise
product
22 days
from contract to production
showcase estate
How Lima loads and reads back Kinaxis Maestro

Method by method.

Each method has a job. The first load uses the bulk method; the daily run uses the incremental or change-capture method; write-back uses the interface the system itself uses.

MethodWhat it doesWhen it is used
Bulk data loadLoads full tables at the start and for reference data.First load; calendars and constraints.
Net-change loadLoads only what changed since the last run, in referential order.Nightly and intraday loads.
Plan extractReads planned orders, allocations and recommendations.Write-back to the ERP.
What it covers

Objects and patterns.

The objects are the tables, views or records Lima reaches through the methods above. The patterns say how a copy is made and kept current.

ObjectPlain meaning
Part · PartSourceplanning items and every way to supply them
BillOfMaterialcomponents per PartSource
OnHand · ScheduledReceiptstock and open supply
IndependentDemand · HistoricalDemandActualorders, forecast and history
Constraint · Calendarcapacity and working time
PatternSupported
Full loadfirst load
Incrementalnet change in referential order
Change capture—
Streaming—
Write-back—
What Kinaxis Maestro expects

The landing model, and the hardest part.

ModelLinked tables: Part → PartSource → BillOfMaterial, plus OnHand, ScheduledReceipt, IndependentDemand, Constraint, Calendar. Every child row must find its parent, so the load order is fixed.LoadA full load first, then net change on the planning calendar. Each table gets a count check and the referential check runs before anything loads.BackPlanned orders, allocations and reschedule recommendations are read from the plan and written to the ERP, each write confirmed.
The hardest part, in one sentence

Turning ERP production versions, info records and source lists into one PartSource per way of supply, each with its own bill of material.

Before you start

Prerequisites, then four steps.

The prerequisites are what the team that runs Kinaxis Maestro grants. The four steps are the same for every connector.

  • A Maestro integration user and the scenario to load
  • The mapping of ERP production versions and sources to PartSources, agreed with the planning COE
  • Run window on the planning calendar
Register the connectionEndpoint, credentials from the vault, and the method. The connection is tested and a failed test names the cause.
Choose the objects and the patternPick tables or objects from the discovered schema, and the pattern: full, incremental, change capture or streaming.
Run the first load with checks onEvery row is valid or becomes an exception with an owner. The run ends with a count and a control total per table.
Schedule it on the business calendarA run window with a deadline; pause, resume and replay if a check trips; the report after every run.
What happens to a bad record

Incoming data = valid records + exception records. A row that fails a check is kept, routed to the person who owns it with a deadline, and replayed once fixed. The load carries on with the valid rows and the report says exactly what was held back. How exceptions work →

Pair pages

Kinaxis Maestro in a source-to-target path.

Each pair page covers one path end to end: objects out, model in, checks, cadence and the offer.

/connectors/sap-ecc-to-kinaxis-maestro

SAP ECC to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/sap-s4hana-to-kinaxis-maestro

SAP S/4HANA to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/oracle-ebs-to-kinaxis-maestro

Oracle E-Business Suite to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/oracle-fusion-cloud-erp-to-kinaxis-maestro

Oracle Fusion Cloud ERP to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/oracle-jd-edwards-to-kinaxis-maestro

Oracle JD Edwards EnterpriseOne to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/peoplesoft-to-kinaxis-maestro

Oracle PeopleSoft to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/microsoft-dynamics-365-to-kinaxis-maestro

Microsoft Dynamics 365 Finance and Supply Chain to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/infor-ln-m3-to-kinaxis-maestro

Infor LN and M3 to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/netsuite-to-kinaxis-maestro

Oracle NetSuite to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/manhattan-wms-to-kinaxis-maestro

Manhattan WMS to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
/connectors/sap-ewm-to-kinaxis-maestro

SAP Extended Warehouse Management to Kinaxis Maestro

Planning integration: first load, then net change on the planning calendar; the plan returns to the ERP.

Open the pair page →
Status and evidence

Stated plainly, with dates.

Kinaxis PartnerLink Solution Extension: applied, decision Q4 2026SAP and Oracle to Kinaxis and back: in production since 2021
Terms on this page

Plain meanings.

ConnectorA packaged way to read or write one kind of system, with its authentication, methods and prerequisites described.
Full, incremental, change capture, streamingFour ways to make and keep a copy: read everything; read what changed since last time; read changes from a log as they happen; consume events in small batches.
Write-backWriting a result into the system that owns it through its released interface; the system's response is the confirmation.
Control totalThe sum of a key amount column compared between source and target, along with the row count, at the end of a run.
Exception recordA row that failed a check: kept, routed to an owner, replayed once fixed.
Net changeA load that sends only what changed since the last load, in the order the target needs.
Questions

Asked about this connector.

Does Lima install anything in Kinaxis Maestro?

Lima connects from outside through the interfaces listed above with credentials your administrators grant. Where a vendor requires its own agent or add-on for a method, the prerequisites say so.

How is load on Kinaxis Maestro kept in check?

Parallel reads are capped and the cap is agreed with the team that runs the system. Large reads run inside an agreed run window. Change capture keeps the daily volume small.

What do we see when a run finishes?

A report per run: rows in, rows out, control totals and variance per table, the exceptions held back and who owns them, and whether the deadline was met.

Can we start small?

Yes. Most estates start with one source, one target and one dataset, then add tables and patterns on the same connection.

Try Kinaxis Maestro on your own estate.

A trial connects this system, runs a first load and ends with a reconciliation report. Your administrators see the prerequisites before anything is installed.