CRM migration
Field-level mapping, validation, and rollback between Oracle Siebel and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Oracle Siebel
Source
Pipedrive
Destination
Compatibility
8 of 11
objects map 1:1 between Oracle Siebel and Pipedrive.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Oracle Siebel and Pipedrive are fundamentally different CRM architectures. Siebel is an enterprise relational system where Contacts and Organizations both extend the S_PARTY base table, Opportunities link through multi-step Pipeline Stages, and Quotes and Orders exist as separate document objects. Pipedrive is a deal-centric SaaS CRM where a single Deal object drives the sales process, Organizations and Persons are separate flat records, and there is no native Quote or Order object. The migration is a schema rewrite, not a record copy. We sequence S_PARTY rows first so that S_CONTACT and S_ORG_EXT foreign keys resolve cleanly, we collapse Siebel's opportunity-stage pipeline into Pipedrive's pipeline-stage model, and we map any custom extension tables to Pipedrive custom fields on the equivalent object. Siebel's 30 req/min REST rate limit requires parallel session threading across object types to keep extraction within the ceiling. Workflows, Siebel Business Services, and EAI integration endpoints do not migrate; we deliver a written automation and integration inventory for the customer's admin to rebuild in Pipedrive.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Oracle Siebel object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Oracle Siebel
Account (S_ORG_EXT + S_PARTY)
Pipedrive
Organization
1:1Siebel Accounts span S_PARTY (root Party row) and S_ORG_EXT (organization extension). We export S_PARTY first, resolve the PARTY_ID as the dedupe key, then import S_ORG_EXT as Organization. Account Name, Location, and Industry map to Pipedrive Organization name and custom fields. Siebel's parent-account hierarchy maps to a Pipedrive custom Organization field if a hierarchical view is needed; Pipedrive does not support nested organization hierarchies natively.
Oracle Siebel
Contact (S_CONTACT + S_PARTY)
Pipedrive
Person
1:1Siebel Contacts span S_PARTY (root) and S_CONTACT (extension). We import S_PARTY first to satisfy the foreign key, then S_CONTACT as a Pipedrive Person record. Contact Name, Email, Phone, and Title map directly. Siebel's Contact-to-Account link resolves to a Pipedrive Person-Organization association during import. Custom S_CONTACT extension fields migrate as Pipedrive Person custom fields.
Oracle Siebel
Opportunity
Pipedrive
Deal
1:1Siebel Opportunities map directly to Pipedrive Deals. The Opportunity Name becomes Deal title; Close Date, Value, and StageName map to Pipedrive close date, value, and pipeline stage. Siebel's Pipeline Stage history (multiple rows per opportunity) collapses into a single Deal record with the most recent stage as the current Pipedrive stage. Stage probability migrates to Pipedrive's optional probability field per stage.
Oracle Siebel
Pipeline Stage
Pipedrive
Pipeline Stage
lossyEach Siebel Pipeline Stage becomes a Pipedrive Stage within the equivalent pipeline. Siebel stage probability percentages migrate as Pipedrive stage probability values. Stage names and order are preserved during configuration. Siebel's Loss Reason and Win Reason (custom properties on Opportunity) become Pipedrive custom fields on Deal.
Oracle Siebel
Service Request
Pipedrive
Deal (service pipeline)
1:manySiebel Service Requests do not have a direct Pipedrive equivalent. We configure a dedicated service pipeline in Pipedrive and map Siebel Cases to Deals in that pipeline. SR status, assigned Position, priority, and resolution date migrate as Deal fields. SR number becomes a Deal custom field for cross-reference. Open and closed status maps to Pipedrive open/closed Won/Lost state using a status mapping rule defined at scoping.
Oracle Siebel
Activity
Pipedrive
Activity
1:1Siebel Activities map to Pipedrive Activities by type: Call, Email, Meeting, and Task. The parent Contact or Account link resolves to a Pipedrive Person or Organization association. Activity date, owner, and duration transfer directly. Siebel's activity type codes are mapped to Pipedrive's five supported activity types; custom Siebel activity extension fields migrate as custom activity fields. Activity notes migrate as Activity notes.
Oracle Siebel
Quote
Pipedrive
Deal (with attachments)
1:1Siebel Quotes (S_DOC_QUOTE) have no direct Pipedrive equivalent. We migrate Quote header fields (quote number, date, total value, status) as Pipedrive Deal custom fields. Quote line items (S_QUOTE_ITEM) migrate as Deal product items if Pipedrive Products are configured; otherwise they become a Deal notes section with line-item text. Signed quote PDFs export from the Siebel File System and attach to the Deal as a Pipedrive file.
Oracle Siebel
Order
Pipedrive
Deal (closed-won)
1:1Siebel Orders (S_ORDER) have no native Pipedrive equivalent. We migrate Order header fields (order number, date, total) as Deal custom fields. Closed-won Orders map to Pipedrive Deals with status Won; the order total becomes the Deal value. Order line items migrate as Deal product items if Products are configured. Order documents attach as files to the Deal.
Oracle Siebel
Asset
Pipedrive
Product
1:1Siebel Assets (S_ASSET) representing installed products or financial holdings migrate as Pipedrive Products with a custom field flagging asset origin. Asset serial number, product name, quantity, and status migrate to Pipedrive Product fields. The Account link on S_ASSET resolves to a Pipedrive Organization during import. Product pricing is set as Standard Price Book entries in Pipedrive.
Oracle Siebel
Literature
Pipedrive
File (attached to Organization/Deal)
1:1Siebel Literature records (S_LIT) store document metadata and a file system path reference. The binary files are not in the database. We extract the S_LIT path list, retrieve the corresponding files from the Siebel File System, and deliver them alongside the data export for re-upload as Pipedrive file attachments linked to the parent Organization or Deal record.
Oracle Siebel
Custom Extension Tables
Pipedrive
Custom Fields
lossySiebel custom tables built atop S_ extension patterns migrate as Pipedrive custom fields on the equivalent standard object. We export each extension table, map its foreign keys to the parent S_PARTY or S_CONTACT row ID resolved during earlier import passes, and create Pipedrive custom fields with matching data types before loading the values. The mapping workbook documents the full extension field inventory for the customer's Pipedrive admin to review.
| Oracle Siebel | Pipedrive | Compatibility | |
|---|---|---|---|
| Account (S_ORG_EXT + S_PARTY) | Organization1:1 | Fully supported | |
| Contact (S_CONTACT + S_PARTY) | Person1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Pipeline Stage | Pipeline Stagelossy | Fully supported | |
| Service Request | Deal (service pipeline)1:many | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Quote | Deal (with attachments)1:1 | Fully supported | |
| Order | Deal (closed-won)1:1 | Fully supported | |
| Asset | Product1:1 | Fully supported | |
| Literature | File (attached to Organization/Deal)1:1 | Fully supported | |
| Custom Extension Tables | Custom Fieldslossy | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Oracle Siebel gotchas
Version gating for Siebel Cloud Manager OCI migration
S_PARTY base table requires parent-first migration sequencing
REST API 30 req/min rate limit throttles bulk extraction
Siebel Tools SRF compilation required after extension table changes
Literature files require separate file system export
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the source Siebel environment: version (18.12 or later for SCM availability), S_PARTY table volume and relationship structure, custom extension table count and foreign key chains, opportunity pipeline stage count, service request volume, and literature file count. We assess the Siebel REST API connection, verify the 30 req/min rate limit applies to the available endpoints, and identify any Siebel Tools SRF customizations that affect field availability. We pair this with a Pipedrive tier recommendation: the Essential or Professional plan covers most migrations; Advanced is required if the customer needs multiple pipelines or custom fields on Activities.
Pipedrive schema design and pipeline configuration
We design the destination Pipedrive schema based on the Siebel inventory. This includes configuring Pipedrive Pipelines and Stages to match Siebel Opportunity pipeline stages, creating custom fields on Organization, Person, and Deal for Siebel fields that have no direct Pipedrive equivalent, configuring the service pipeline for Service Request mapping, and setting up Products from Siebel Assets. We also create a User mapping workbook matching Siebel Position email addresses to Pipedrive user accounts for owner resolution.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive trial or sandbox environment using production-like data volume. The customer's project lead reconciles record counts against the source Siebel environment, spot-checks 25-50 records across each object type, and validates that S_PARTY relationships resolved correctly on Accounts and Contacts. Any mapping corrections, missing fields, or custom field type issues surface here before production migration begins.
Siebel extraction in dependency order with rate-limit handling
We extract Siebel data in S_PARTY-first order: S_PARTY rows, then S_ORG_EXT (Organizations), S_CONTACT (Persons), Opportunities, Quotes, Orders, Service Requests, Activities, Assets, and any custom extension tables. We run parallel session threads across object types to maximize throughput within the 30 req/min ceiling. Literature metadata extracts from S_LIT in parallel with data extraction, and the Siebel File System retrieval runs as a separate job to capture binary files. Each extraction round produces a row-count manifest compared against the Siebel source counts.
Pipedrive import in dependency order
We import into Pipedrive in reverse-dependency order: Organizations first, then Persons (with Organization associations resolved), then Deals (with Organization and Person associations resolved), then Activities. Custom extension table fields are loaded after the standard object mapping is validated, using the parent S_PARTY row IDs resolved during extraction as foreign keys. Literature files are uploaded as Pipedrive attachments and linked to the parent Organization or Deal record. Each import phase produces a reconciliation report comparing imported row count to the extraction manifest.
Cutover, validation, and automation handoff
We freeze Siebel writes during cutover, run a final delta migration of any records created or modified during the migration window, and switch the system of record to Pipedrive. We deliver the automation and integration inventory document to the customer's Pipedrive admin. We support a one-week hypercare window to resolve reconciliation issues reported by sales or service teams. Workflow rebuild, Siebel Business Service replacement, and EAI reconnection are outside standard scope and require a separate engagement or admin rebuild.
Platform deep dives
Oracle Siebel
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Oracle Siebel and Pipedrive.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Oracle Siebel: 30 requests per minute per session (REST API).
Data volume sensitivity
Oracle Siebel doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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