CRM migration

Migrate from Customer Database App to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Customer Database App and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Customer Database App logo

Customer Database App

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

44%

7 of 16

objects map 1:1 between Customer Database App and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Customer Database App to Salesforce is a migration from a flat, single-object data model to a relational CRM with Accounts, Contacts, Leads, and Opportunities. Customer Database App holds all customer data in a single Contacts table with user-defined fields and no public API, so we extract via CSV or VCF export and reconstruct the relational structure in Salesforce during import. We resolve the Account-Contact parent relationship (creating Accounts from organization data or using a catch-all if no company field exists), map each named pipeline stage to an Opportunity stage, split multi-value tags into Salesforce Tags or a multi-select picklist, and attach bundled PDFs and images to the correct Contact record. Voucher balances and call history are not exported by Customer Database App and cannot be migrated; we deliver a supplemental export CSV for manual re-entry. Workflows and automations do not exist in Customer Database App, so there is no automation layer to rebuild in Salesforce.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Customer Database App logo

Customer Database App

What's pushing teams away

  • The absence of a programmatic API makes automated exports and integrations with downstream tools impossible without manual file handling.
  • No collaborative features such as user roles, activity logs, or shared dashboards create friction when a second team member needs access to a customer record.
  • The free tier carries no service-level guarantee; users have reported no recourse when data loss occurs on the hosted version.
  • Scalability is limited — performance degrades noticeably as the customer list grows beyond a few hundred records on mobile hardware.
  • Marketing and automation capabilities are absent, which pushes teams to migrate once they need email campaigns, lead scoring, or workflow triggers.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Customer Database App objects map to Salesforce Sales Cloud

Each row shows how a Customer Database App object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Customer Database App

Contact

maps to

Salesforce Sales Cloud

Contact (with Account parent)

1:1
Fully supported

Customer Database App Contact records map directly to Salesforce Contact, with a required Account parent. We extract the company or organization name from the corresponding custom field (commonly named Company, Organization, or Business), create a Salesforce Account for each distinct value, and link the Contact to that Account. If no company field is populated, we create a single Default Account and attach all Contacts to it, flagging each record for manual review post-migration. Email, phone, address, and all standard fields map directly to their Salesforce equivalents.

Customer Database App

Contact (unqualified prospect)

maps to

Salesforce Sales Cloud

Lead

1:many
Fully supported

If the source data includes a status or stage field that distinguishes between active customers and prospective leads, we split: records marked as prospects or leads map to Salesforce Lead; records marked as customers map to Contact. We define the split rule during scoping based on the actual field values present in the exported CSV. The original source status is preserved in a custom field cdba_original_status__c on both Lead and Contact for audit trail.

Customer Database App

Custom Field (text)

maps to

Salesforce Sales Cloud

Custom Field (Text)

lossy
Fully supported

Each user-defined text field from Customer Database App maps to a Salesforce Text custom field on Contact (or Lead if the split applies). We infer the full field list from the CSV column headers, map field names to valid Salesforce API names (removing spaces, special characters, and truncation to 40 characters), and create each field in the destination org before import. Free-text fields with embedded commas are quoted during CSV generation to prevent parse errors.

Customer Database App

Custom Field (date)

maps to

Salesforce Sales Cloud

Custom Field (Date)

lossy
Fully supported

Date fields from Customer Database App map to Salesforce Date custom fields on Contact. We validate date format consistency across all records before import; if the source data mixes DD/MM/YYYY and MM/DD/YYYY formats, we apply a format-detection heuristic based on value ranges and normalize before loading.

Customer Database App

Custom Field (number or currency)

maps to

Salesforce Sales Cloud

Custom Field (Number or Currency)

lossy
Fully supported

Numeric and currency fields map to Salesforce Number or Currency custom fields. We preserve decimal precision from the source and set the scale and precision properties in Salesforce to match. Empty numeric fields default to null rather than zero to maintain data integrity.

Customer Database App

Custom Field (checkbox or toggle)

maps to

Salesforce Sales Cloud

Custom Field (Checkbox)

lossy
Fully supported

Boolean or toggle fields in Customer Database App map to Salesforce Checkbox custom fields. We normalize any text representation of true/false (yes/no, 1/0, active/inactive) to Salesforce's native true/false during the transform step before CSV generation.

Customer Database App

Pipeline Stage

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Customer Database App Kanban pipeline stages map to Salesforce Opportunity Stage values. We extract all distinct stage names from the exported data, create corresponding Stage entries in the destination org's sales process, and map the order to StageSortOrder in Salesforce. If no deal or pipeline data exists in the source, we skip this mapping and document that the customer will create their Salesforce pipeline from scratch.

Customer Database App

Groups / Tags

maps to

Salesforce Sales Cloud

Topic or Multi-Select Picklist

1:many
Mapping required

Customer Database App groups and tags are stored as comma-separated strings on each contact record. We split each comma-separated value into individual tokens, create Salesforce Topic records for each distinct tag, and link each Contact to its topics via TopicAssignment. Alternatively, if the customer prefers a simpler model, we map tags to a multi-select picklist custom field on Contact. The customer selects the strategy during scoping.

Customer Database App

Birthday

maps to

Salesforce Sales Cloud

Contact.Birthdate

1:1
Fully supported

Customer Database App birthday date fields map directly to Salesforce Contact.Birthdate, which is a standard date field with no special API handling required. We preserve the original date exactly as exported; no transformation needed beyond format normalization if the source uses a non-ISO date format.

Customer Database App

Contact Image

maps to

Salesforce Sales Cloud

ContentVersion (linked to Contact)

lossy
Fully supported

Contact images exported from Customer Database App are bundled into a ZIP archive alongside the CSV. We extract each image file, upload it as a Salesforce ContentVersion record, and create a ContentDocumentLink linking the file to the corresponding Contact record. Image file naming must follow a predictable convention (Contact ID or email-based) for us to match images to records; if the naming is inconsistent, we deliver a reconciliation report with unmatched files for manual assignment.

Customer Database App

PDF Record Export

maps to

Salesforce Sales Cloud

ContentVersion (linked to Contact)

lossy
Fully supported

PDF exports of individual Customer Database App records are bundled alongside the CSV export. We upload each PDF as a ContentVersion, create a ContentDocumentLink pointing to the corresponding Contact, and set the ContentDocument Description to 'Migrated from Customer Database App' for identification. If the PDF filename does not encode the contact identifier, we rely on the customer-provided mapping file to match PDFs to records.

Customer Database App

Note

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Customer Database App notes migrate to Salesforce Note records. We extract the note body and title from the CSV (if exported as structured columns) or parse them from a supplemental notes export. Each Note is linked to its parent Contact via ContentDocumentLink. Note timestamps are preserved in the Salesforce Note CreatedDate field.

Customer Database App

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Tasks created within Customer Database App migrate to Salesforce Task records linked to the parent Contact. Task Subject, Status, Priority, and ActivityDate are preserved. Task owner resolves by email match against the destination Salesforce User table; unresolved owners are placed in a reconciliation queue for the customer's admin to address before record import continues.

Customer Database App

Voucher

maps to

Salesforce Sales Cloud

None

1:1
Fully supported

Voucher balances are not exported via Customer Database App's CSV or VCF format. Vouchers are app-specific objects with no standard CRM equivalent. We do not migrate voucher data. We recommend exporting a supplemental voucher CSV manually from the app (if accessible) and re-entering balances in Salesforce as a custom object or as a custom field on Contact. This is documented in the migration scope as an out-of-scope item requiring manual action.

Customer Database App

Phone Call History

maps to

Salesforce Sales Cloud

None

1:1
Not supported

Caller-ID logs and call history are device-level transient records not exposed via Customer Database App's CSV or VCF export. These records are not migrated. We recommend documenting call-handling procedures and any external call logs (from a connected phone provider) separately, and re-importing call logs from the telephony source directly into Salesforce if the customer has a connected VoIP or call tracking system.

Customer Database App

Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Customer Database App does not track record-level ownership in the same way as Salesforce, but if the export includes an owner or assigned-to field, we resolve each value by email against the destination Salesforce User table. Users without a matching Salesforce User are held in a reconciliation queue for the customer's admin to provision before record import resumes. If no ownership field exists in the source, all migrated records default to the migration service user and the admin assigns ownership post-migration.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Customer Database App logo

Customer Database App gotchas

High

No API means migration runs through CSV exports only

Medium

User-defined schema creates field mapping ambiguity

Medium

MySQL sync creates a parallel data source that must be reconciled

Low

Voucher and birthday objects have no standard CRM equivalent

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • No API forces CSV-only extraction with field ambiguity

    Customer Database App has no public REST or GraphQL API, so we extract data through CSV or VCF exports generated within the app. The app imposes no explicit row limit, but large exports become unwieldy in spreadsheet tools. We handle this by chunking exports into multiple files when the record count exceeds the destination system's import threshold. Additionally, because every installation has a different field set with no canonical schema definition, we infer the active field list from the first export file's column headers. If the customer has added or renamed fields after their last export, we flag the discrepancy before loading data into Salesforce. Custom fields with free-text values containing commas are quoted during CSV generation to prevent parse errors.

  • MySQL sync creates a parallel data source requiring reconciliation

    Users who have enabled MySQL sync hold two copies of their data: the local app database and the synced MySQL instance. The MySQL copy may contain records not yet synced back to the local app, or records modified after the last sync cycle. We require customers to confirm the sync state of both copies before extraction and extract from the MySQL source where it is reachable, as it typically contains the most complete dataset. If only the app-level CSV export is available, we note any delta risk in the migration scope.

  • Flat schema requires Account-Contact parent relationship resolution

    Customer Database App stores all customer data in a single flat Contacts table. Salesforce requires a parent Account for every Contact. We extract the organization name from a designated custom field (identified during scoping), create one Account per distinct organization value, and link each Contact to its Account. If no company or organization field is populated, we create a Default Account and flag all Contacts for manual Account assignment post-migration. This flat-to-relational reconstruction is the primary schema transformation work in every Customer Database App migration.

  • Attachments and images require a separate ZIP bundling step

    Contact images and PDF record exports are bundled into a ZIP archive alongside the CSV, not embedded within it. We must extract the ZIP, parse the filenames to match images and PDFs to the correct Contact record, upload each file as a ContentVersion, and create a ContentDocumentLink to the Contact. If the customer has not exported attachments, or if the ZIP is missing or corrupted, those files cannot be recovered during migration. We flag any missing attachment export before beginning the import phase.

  • Vouchers and call history have no export path and do not migrate

    Voucher balances are not accessible via CSV or VCF export from Customer Database App, and caller-ID logs are device-level records that never enter the app's data layer. These two object types cannot be migrated to Salesforce through any extraction method. We document this limitation in the migration scope, deliver a supplemental voucher export template for manual re-entry, and recommend that the customer retrieve call logs from their connected telephony provider if they want that history in Salesforce.

Migration approach

Six steps for a successful Customer Database App to Salesforce Sales Cloud data migration

  1. Discovery and export preparation

    We audit the Customer Database App installation to identify the active field set, pipeline stages, tag/group taxonomy, and attachment bundle. If MySQL sync is active, we coordinate with the customer to confirm the sync state and access the MySQL database directly as the primary data source. We ask the customer to generate a full CSV export with all fields and a ZIP archive of all contact images and PDF exports. We review the CSV column headers against the source schema and flag any discrepancies or missing exports before proceeding.

  2. Schema design and Salesforce field creation

    We design the Salesforce destination schema based on the exported field set. This includes creating custom fields on Contact and Lead for each source field (with Salesforce-valid API names and appropriate field types), configuring the Account-Contact parent lookup strategy, creating Salesforce Topics or a multi-select picklist for the tag taxonomy, and defining the Opportunity stage values if pipeline data is present. Schema is deployed to a Salesforce Sandbox first for validation before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using the exported data volume. The customer reconciles record counts (Contacts in, Leads in, Accounts in, Opportunities in), spot-checks 25-50 random records against the Customer Database App source, and verifies that custom field values, tags, and attachments populated correctly. Any field mapping corrections, missing fields, or data-quality issues are resolved here. Sandbox sign-off is required before production migration begins.

  4. Attachment bundling and ContentDocument upload

    We extract the attachment ZIP, parse filenames to match images and PDFs to Contact records, and upload each file as a ContentVersion record in the destination org. We create ContentDocumentLink records to attach each file to the corresponding Contact. If the filename convention does not support automated matching, we deliver a reconciliation report listing unmatched files for manual assignment. This step runs in parallel with the data migration phases.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (extracted from the organization name field), Contacts (with AccountId resolved), Leads (if a prospect-lead split applies), Opportunities (if pipeline stage data exists), Tags (created before TopicAssignment), Notes and Tasks, then ContentDocument and ContentDocumentLink for attachments. Each phase emits a row-count reconciliation report before the next phase begins. We use the Salesforce Bulk API for Contacts and Tasks when the record count exceeds 10,000.

  6. Cutover, validation, and handoff

    We freeze writes to Customer Database App during the cutover window, run a final delta migration of any records modified since the initial export, and enable Salesforce as the system of record. We deliver a migration summary report with record counts, attachment upload counts, and a list of any records that could not be matched or imported with their error reason. We document the out-of-scope items (voucher balances, call history) with recommended manual action steps. We support a one-week hypercare window for reconciliation issues. We do not rebuild workflows or automations in Salesforce; since Customer Database App has no automation layer, there is nothing to rebuild, but any new Salesforce Flow or Process Builder design is outside migration scope.

Platform deep dives

Context on both ends of the pair

Customer Database App logo

Customer Database App

Source

Strengths

  • Zero cost with no contact count limit removes budget objections entirely for early-stage teams.
  • Mobile app and web browser access means the same database works on desktop and in the field.
  • User-defined schema accommodates non-standard business models without forcing a predefined data model.
  • MySQL sync option enables self-hosting for users who want data portability and ownership.
  • Built-in EU-GDPR tools such as data export and deletion requests simplify compliance for European users.

Weaknesses

  • No public API forces reliance on manual CSV or VCF exports, which breaks down at scale.
  • Absence of user roles and permissions makes the app unsuitable for teams with access-control requirements.
  • No email sequencing, marketing automation, or built-in communications channels limits long-term utility as a sales tool.
  • No SLA or data-residency guarantees on the hosted version introduce reliability risk for business-critical data.
  • Limited reporting and analytics mean users quickly outgrow the insight capabilities once the customer base matures.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Customer Database App and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Customer Database App: Not applicable — no API exists.

  • Data volume sensitivity

    B

    Customer Database App doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Customer Database App to Salesforce Sales Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Customer Database App to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Customer Database App to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 5,000 Contacts with no MySQL sync active and no complex attachment bundling. Migrations with MySQL sync requiring source reconciliation, contact lists exceeding 10,000 records, or large attachment bundles (images and PDFs per record) move to six to ten weeks because of multi-pass CSV parsing, attachment matching, and duplicate detection across the flat source schema.

Adjacent paths

Related migrations to explore

Ready when you are

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