Migrate your Fireberry data
Modular all-in-one CRM built by an Israeli vendor, marketed to mid-market teams in EMEA who want Salesforce capability without the Salesforce complexity or price tag.
In its favor
Why people choose Fireberry
The signal that keeps Fireberry on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Highly customizable without forcing a rigid schema — users can build custom objects, fields, and automations to fit their exact vertical or process, unlike HubSpot's more opinionated defaults.
Hebrew-language phone and email support appeals to Israeli and Middle Eastern teams who have been underserved by US-centric CRM vendors, according to review themes.
Free tier with no expiration and no credit card required lowers the barrier for teams validating CRM fit before committing to a paid plan, matching what review sources describe as the primary draw.
Fast implementation and flexible pricing structure for small-to-mid-market teams who need a consolidated platform rather than stitching together point solutions.
AI Copilot features and built-in call centre capabilities attract teams that want sales automation, support ticketing, and analytics in a single subscription rather than buying separate tools.
Reporting capabilities are limited and users report frustration with customisation gaps in analytics, especially for multi-dimensional views needed by sales leadership.
No native customer portal means self-service for external clients is unavailable, forcing teams to use third-party workarounds for basic client-facing functionality.
Learning curve for advanced features is steep — power users praise the depth but non-technical team members struggle with automations, custom fields, and workflows.
Price-to-value becomes harder to justify as teams scale — the per-seat model can cost more than competitors once the team exceeds a dozen users, pushing some to alternatives like Zoho CRM or Pipedrive.
Reasons to switch
Why people leave Fireberry
The recurring reasons buyers give for replacing Fireberry. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Fireberry fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Fireberry pricing overview
Fireberry uses a per-user seat model on paid tiers. The Small Team plan starts at $15/user/month with 300+ Components, while Enterprise pricing is negotiated directly with the vendor. The Personal free tier is available indefinitely with a hard cap of 3 Projects and a limited component set.
Personal
Tier 1 of 3
Free
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Fireberry's schedule — see our quote-based pricing →
What gets migrated
Fireberry object support
Object-by-object support for Fireberry migrations. Per-pair details surface during scoping.
Contacts
Fully supportedStandard Contact object with name, email, phone, address, owner assignment, and lifecycle stage. Fireberry exposes all standard fields via its export mechanism. We map contact records 1:1 and preserve the Owner/User linking to ensure reassignment is intact at the destination.
Companies / Accounts
Fully supportedCompany records store business details, industry, size, and address. The Company-to-Contact relationship is preserved during migration by maintaining the foreign-key linkage in our import sequencing.
Deals / Opportunities
Fully supportedDeals carry standard fields: amount, stage, probability, expected close date, and pipeline assignment. We map deal records including their linked Company and Contact references and preserve stage ordering from the source pipeline.
Pipelines and Pipeline Stages
Fully supportedFireberry supports multiple named pipelines each with configurable stages. We extract pipeline definitions and stage ordering and reconstruct them at the destination, flagging any stages that have no associated deal records for the customer's review.
Activities / Tasks
Mapping requiredActivities include notes, calls, meetings, and tasks. Fireberry's export includes activity records with timestamps and owner IDs. We map them but note that activity timestamps and linked records may require post-migration validation for large histories.
Custom Objects
Mapping requiredCustom Objects are user-defined containers with custom fields — Fireberry's 'Components' system extends standard objects this way. We discover the full schema at migration time via the customer's Fireberry export and map custom object records field-by-field, flagging any relationship fields that need manual re-linking at the destination.
Custom Fields (on standard objects)
Mapping requiredStandard objects like Contact and Deal can carry additional custom fields beyond the base schema. The export must be scoped to include these. We flag any picklist or formula-type custom fields that may not round-trip cleanly and recommend a field-mapping review before import.
Workflows and Automations
Mapping requiredFireberry automations are defined as trigger-action pairs (time-based, event-based, or URL-call). Our export captures workflow definitions as structured records, but rebuilding equivalent automations in the destination system requires a rules-translation step per workflow — we document each one for the customer to review.
Tags and Labels
Mapping requiredFireberry supports tagging on Contacts and Companies. Tags are exported as flat lists per record. We map tags as a comma-separated custom field or as native tags at the destination if the target supports it.
Attachments
Mapping requiredFile attachments stored against records are included in Fireberry exports as download references. We preserve attachment links and note that any attachments hosted internally by Fireberry require re-upload to the destination's storage during migration.
Users and Owners
Mapping requiredUser records include name, email, role, and team assignment. We map active users and flag any inactive or deactivated accounts so the customer can decide whether to include historical owner data or reassign records to active owners.
Reports and Dashboards
Not in this platformFireberry's reporting views are configuration-dependent and not exportable as reusable report definitions. We migrate the underlying data so dashboards can be rebuilt in the destination system, but the report configurations themselves do not transfer.
| Object | Support | Notes |
|---|---|---|
| Contacts | Fully supported | Standard Contact object with name, email, phone, address, owner assignment, and lifecycle stage. Fireberry exposes all standard fields via its export mechanism. We map contact records 1:1 and preserve the Owner/User linking to ensure reassignment is intact at the destination. |
| Companies / Accounts | Fully supported | Company records store business details, industry, size, and address. The Company-to-Contact relationship is preserved during migration by maintaining the foreign-key linkage in our import sequencing. |
| Deals / Opportunities | Fully supported | Deals carry standard fields: amount, stage, probability, expected close date, and pipeline assignment. We map deal records including their linked Company and Contact references and preserve stage ordering from the source pipeline. |
| Pipelines and Pipeline Stages | Fully supported | Fireberry supports multiple named pipelines each with configurable stages. We extract pipeline definitions and stage ordering and reconstruct them at the destination, flagging any stages that have no associated deal records for the customer's review. |
| Activities / Tasks | Mapping required | Activities include notes, calls, meetings, and tasks. Fireberry's export includes activity records with timestamps and owner IDs. We map them but note that activity timestamps and linked records may require post-migration validation for large histories. |
| Custom Objects | Mapping required | Custom Objects are user-defined containers with custom fields — Fireberry's 'Components' system extends standard objects this way. We discover the full schema at migration time via the customer's Fireberry export and map custom object records field-by-field, flagging any relationship fields that need manual re-linking at the destination. |
| Custom Fields (on standard objects) | Mapping required | Standard objects like Contact and Deal can carry additional custom fields beyond the base schema. The export must be scoped to include these. We flag any picklist or formula-type custom fields that may not round-trip cleanly and recommend a field-mapping review before import. |
| Workflows and Automations | Mapping required | Fireberry automations are defined as trigger-action pairs (time-based, event-based, or URL-call). Our export captures workflow definitions as structured records, but rebuilding equivalent automations in the destination system requires a rules-translation step per workflow — we document each one for the customer to review. |
| Tags and Labels | Mapping required | Fireberry supports tagging on Contacts and Companies. Tags are exported as flat lists per record. We map tags as a comma-separated custom field or as native tags at the destination if the target supports it. |
| Attachments | Mapping required | File attachments stored against records are included in Fireberry exports as download references. We preserve attachment links and note that any attachments hosted internally by Fireberry require re-upload to the destination's storage during migration. |
| Users and Owners | Mapping required | User records include name, email, role, and team assignment. We map active users and flag any inactive or deactivated accounts so the customer can decide whether to include historical owner data or reassign records to active owners. |
| Reports and Dashboards | Not in this platform | Fireberry's reporting views are configuration-dependent and not exportable as reusable report definitions. We migrate the underlying data so dashboards can be rebuilt in the destination system, but the report configurations themselves do not transfer. |
Gotchas
What to watch for in Fireberry migrations
Issues we've hit on past Fireberry migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Free plan caps at 3 Projects and 100+ Components
Custom Objects and Components require explicit schema discovery
Workflow automations do not export as reusable definitions
Billing cycle determines the migration window
| Severity | Issue |
|---|---|
| High | Free plan caps at 3 Projects and 100+ Components |
| Medium | Custom Objects and Components require explicit schema discovery |
| Medium | Workflow automations do not export as reusable definitions |
| Low | Billing cycle determines the migration window |
Leaving Fireberry?
Where Fireberry customers move next
12 destinations Fireberry can migrate to.
How a Fireberry migration works
Four steps, Fireberry-specific
Connect
Not publicly documented into Fireberry. Scopes limited to read-only on the data we move.
Map
We translate Fireberry-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Fireberry quirks before production.
Migrate
Full migration with Fireberry rate-limit handling. Rollback available throughout.
FAQ
Fireberry migration FAQ
Answers to the questions buyers ask most during Fireberry migration scoping. Not seeing yours? Book a call.
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Migrate Fireberry.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Fireberry setup and destination — written quote back within a business day.