No-Code · head to head
Stacker vs Whalesync
Stacker
No-Code
Permissioned portals over data that stays in Airtable, Salesforce or Postgres
- From
- On request
- Rated
- -
Whalesync
No-Code
Two-way real-time sync between no-code databases and SaaS tools
- From
- $40/month
- Rated
- -
The short version
- Each has a real cost: Stacker there is no source export and no self-hosting, so leaving means rebuilding the entire interface and permission model elsewhere, even though the underlying records remain yours.; Whalesync pricing counts records held in sync rather than changes made, so a large but rarely edited catalogue costs the same as a highly active one and the economics punish exactly the datasets that need the least work.
- They diverge on capability: Stacker covers Per-record permissions, Whalesync covers Two-way sync.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Stacker and Whalesync actually diverge.
Identical on both: free tier (No), platforms (Web), user rating (Not yet rated), category (No-Code).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Stacker
- Per-record permissions
- External user portals
- Live connection to the source
- Page and layout builder
- Workflow actions
- Custom domains and branding
- User onboarding
- Role based navigation
Only in Whalesync
- Two-way sync
- Live updates
- Field mapping
- Unlimited mappings
- Backfill
- Monitoring
- Database connectors
- Relational field support
What people use each for
The jobs each tool is most often brought in to do.
Stacker
- Giving clients a login that shows only their own records inside an internal Airtable basenot Whalesync
- Contractor or franchisee portals where each account must see one slice of a shared datasetnot Whalesync
- Replacing a spreadsheet emailed to partners with a permissioned live view of the same datanot Whalesync
- Putting a usable interface on a Salesforce or Postgres dataset for users who should never see the underlying systemnot Whalesync
Whalesync
- A team that plans work in Notion but reports from Airtable and needs one edit to appear in both without anyone copying it acrossnot Stacker
- A marketing site built in Webflow whose content is authored and managed in Airtable, kept in step continuously rather than republished on a schedulenot Stacker
- A startup keeping a Postgres application database and an internal Airtable operations view aligned without building a sync servicenot Stacker
- An agency keeping a client CRM and a project tracker consistent so account managers and delivery staff work from the same recordsnot Stacker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Stacker
- There is no source export and no self-hosting, so leaving means rebuilding the entire interface and permission model elsewhere, even though the underlying records remain yours.
- Performance is bounded by the data source, so an Airtable base near its row limit or an API under rate limiting produces a slow portal that no amount of Stacker configuration will fix.
- Pricing distinguishes internal editors from external portal users, so a portal that succeeds by adding hundreds of light-touch external users can end up costing more than the internal system it fronts.
- Custom logic is limited to the actions and conditions the builder exposes, so anything resembling a calculation engine or a branching multi-step approval hits a wall and needs an external automation tool bolted on.
- It is a portal and CRUD tool by design, with no offline mode, no native mobile application and no real reporting layer, so it will not be the only system a growing operation runs.
Whalesync
- Pricing counts records held in sync rather than changes made, so a large but rarely edited catalogue costs the same as a highly active one and the economics punish exactly the datasets that need the least work.
- The gap between the 1,000 record starter tier and the million record higher tiers is very wide with no published intermediate price, so a business at ten thousand records cannot tell what it will pay without contacting the vendor.
- Bidirectional sync has conflict semantics, and when two people edit the same field in two tools within a sync interval one edit is lost, which is silent and only discovered when someone notices their change reverted.
- It is a small company holding a live connection in the middle of operational data, so continuity risk is real and any team relying on it should keep an export routine and know how it would rebuild the mapping.
- It syncs records between tools but does not transform or model data, so anything requiring aggregation, deduplication or business logic between the two ends still needs a separate tool or a warehouse.
Pricing, plan by plan
Stacker
On request- Stacker$undefined/month
- Priced by workspace tier with caps on apps and users
- External portal users charged differently from internal editors
- Higher tiers add permission depth and support
Whalesync
$40/month- Starter$40/month
- 1,000 records in sync
- Live two-way sync
- Unlimited mappings and row changes
- Plus$undefined/month
- Up to 1,000,000 records in sync
- Live two-way sync
- Unlimited mappings and row changes
- Pro$undefined/month
- Up to 1,000,000 records in sync
- Priority support
- Advanced field handling
Which should you pick?
Questions people ask
- Is Stacker or Whalesync better?
- Neither clearly leads. Stacker starts at On request and Whalesync at $40/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Stacker or Whalesync?
- Stacker starts at On request and Whalesync at $40/month.
- Does Stacker or Whalesync run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- What is Stacker best used for?
- Stacker is most often used for giving clients a login that shows only their own records inside an internal airtable base, contractor or franchisee portals where each account must see one slice of a shared dataset, replacing a spreadsheet emailed to partners with a permissioned live view of the same data, putting a usable interface on a salesforce or postgres dataset for users who should never see the underlying system. Of those, giving clients a login that shows only their own records inside an internal airtable base and contractor or franchisee portals where each account must see one slice of a shared dataset are not what Whalesync is typically brought in for.
- What can Stacker do that Whalesync cannot?
- Stacker covers Per-record permissions, External user portals, Live connection to the source, Page and layout builder. Whalesync covers Two-way sync, Live updates, Field mapping, Unlimited mappings.
Answered from the vendors’ own pages
Stacker: Where does my data live?
In the source you connect: Airtable, Salesforce, HubSpot, Google Sheets or your own Postgres. Stacker reads and writes to it rather than becoming the system of record.
Whalesync: How is this different from Zapier?
Zapier triggers one-way actions. Whalesync maintains a persistent mapping between two copies of a record so edits flow both ways without loops or duplicates, which two zaps cannot achieve reliably.
Stacker: Can I export the app if I cancel?
No. The data stays in your source system, but the interface, permissions and workflows are Stacker configuration and do not come with you.
Whalesync: What counts as a record in sync?
A record becomes counted the first time it syncs, and records are not double counted across the two applications, so a thousand paired rows count once rather than twice.
Stacker: Is it suitable for hundreds of external users?
Technically yes; check the pricing arithmetic first, because external portal users are charged separately and that is where the bill grows.
Whalesync: Is there a free plan?
No, only a seven day trial. Paid plans start around 40 US dollars a month for a thousand records.
Stacker: Will it replace Airtable?
No, it sits in front of Airtable. If the base itself is at its limits, the fix is moving the data to Postgres rather than changing the portal.
Whalesync: What happens on a sync conflict?
One side wins and the other edit is discarded. Teams that expect simultaneous editing of the same fields in two tools should establish an owning system per field rather than relying on the sync to arbitrate.
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