Spreadsheets · head to head
Coefficient vs Teable
Coefficient
Spreadsheets
Live two way connector between Google Sheets or Excel and warehouses, CRMs and business systems
- From
- On request
- Rated
- -
Teable
Spreadsheets
Spreadsheet interface over real PostgreSQL tables, so the data stays queryable by anything that speaks SQL
- From
- Free
- Rated
- -
The short version
- Only Teable has a free tier, so it costs nothing to try first.
- Each has a real cost: Coefficient google Sheets is capped at ten million cells per spreadsheet, so a wide dataset exhausts the sheet in the low hundreds of thousands of rows no matter how much data the source holds.; Teable the automation builder is far less capable than the established commercial alternatives, so multi step workflows usually end up in an external tool that must be paid for and maintained separately.
- They diverge on capability: Coefficient covers Scheduled refresh, Teable covers PostgreSQL native storage.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Coefficient and Teable actually diverge.
| Attribute | Coefficient | Teable |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | Open source, no licence fee |
| Free tier | No | Yes |
| Platforms | Web, Windows, macOS | Web, Linux |
Identical on both: user rating (Not yet rated), category (Spreadsheets).
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 Coefficient
- Scheduled refresh
- Two way write back
- Warehouse and SQL sources
- Formula based imports
- Alerts
- Snapshots
- Works in Sheets and Excel
Only in Teable
- PostgreSQL native storage
- Multiple views
- Linked records and rollups
- Generated REST API
- Real time collaboration
- Self hosting via Docker
- Field level permissions
What people use each for
The jobs each tool is most often brought in to do.
Coefficient
- A weekly revenue report rebuilt by hand from a Salesforce export that nobody wants to keep rebuildingnot Teable
- Finance models that must reconcile against warehouse data without waiting on the analytics teamnot Teable
- Bulk correcting Salesforce records in a spreadsheet and writing the corrections back in one operationnot Teable
- Alerting a Slack channel when a pipeline or inventory figure in a shared sheet crosses a thresholdnot Teable
Teable
- A team that has hit the record ceiling of a hosted spreadsheet database and does not want to move to raw SQLnot Coefficient
- Operational data that a business intelligence tool must also read directly, without an export or a sync jobnot Coefficient
- A regulated or data resident organisation that needs the underlying database inside its own infrastructurenot Coefficient
- An internal tool where a grid interface and a REST API over the same table are both requirednot Coefficient
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Coefficient
- Google Sheets is capped at ten million cells per spreadsheet, so a wide dataset exhausts the sheet in the low hundreds of thousands of rows no matter how much data the source holds.
- Write back from a spreadsheet into a system of record bypasses the validation and audit trail that system was given, which many data governance teams will refuse outright.
- Pricing is not published, so it cannot be compared against alternatives without a sales conversation, and per seat costs across a whole revenue operations team add up quickly.
- Every refresh runs a query against the source, so an aggressive schedule across many sheets consumes warehouse credits or Salesforce API calls that are billed elsewhere and easily overlooked.
- It keeps analysis inside spreadsheets, which entrenches the sprawl of untracked business logic that a business intelligence tool or a semantic layer would have consolidated.
Teable
- The automation builder is far less capable than the established commercial alternatives, so multi step workflows usually end up in an external tool that must be paid for and maintained separately.
- Self hosting moves PostgreSQL backups, version upgrades, connection pooling and capacity planning onto your team, and the licence saving disappears if that time is costed honestly.
- The integration catalogue is small, so connecting to a common business system often means writing against the REST API rather than installing a connector.
- The project is young relative to the products it replaces, and interface and API changes still arrive at a pace that requires reading release notes before upgrading.
- Storing every table as a real PostgreSQL table means schema changes are real migrations, so a careless field type change on a large table can lock it far longer than a spreadsheet user would expect.
Pricing, plan by plan
Coefficient
On request- Coefficient$undefined/year
- Live connectors for Google Sheets and Microsoft Excel
- Scheduled refresh and snapshots
- Two way write back to supported systems
Teable
Free- Self hosted open sourceFree
- No licence fee
- Unlimited rows subject to your PostgreSQL capacity
- Docker deployment
Which should you pick?
Choose Coefficient if
- You need scheduled refresh.
- You work on Web, Windows, macOS.
- You also want two way write back.
Choose Teable if
- You need postgresql native storage.
- You want to start without paying.
- You work on Web, Linux.
- You also want multiple views.
Questions people ask
- Is Coefficient or Teable better?
- Neither clearly leads. Coefficient starts at On request and Teable at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Coefficient or Teable?
- Teable has a free tier; the other does not. Paid plans start at On request for Coefficient and Free for Teable.
- Does Coefficient or Teable run on more platforms?
- Coefficient runs on Web, Windows, macOS. Teable runs on Web, Linux.
- Can I use Teable for free?
- Yes. Teable has a free tier, so you can try it without paying. Coefficient starts at On request.
- What is Coefficient best used for?
- Coefficient is most often used for a weekly revenue report rebuilt by hand from a salesforce export that nobody wants to keep rebuilding, finance models that must reconcile against warehouse data without waiting on the analytics team, bulk correcting salesforce records in a spreadsheet and writing the corrections back in one operation, alerting a slack channel when a pipeline or inventory figure in a shared sheet crosses a threshold. Of those, a weekly revenue report rebuilt by hand from a salesforce export that nobody wants to keep rebuilding and finance models that must reconcile against warehouse data without waiting on the analytics team are not what Teable is typically brought in for.
- What can Coefficient do that Teable cannot?
- Coefficient covers Scheduled refresh, Two way write back, Warehouse and SQL sources, Formula based imports. Teable covers PostgreSQL native storage, Multiple views, Linked records and rollups, Generated REST API.
Answered from the vendors’ own pages
Coefficient: How much data can I actually pull in?
Google Sheets allows ten million cells per spreadsheet in total. Divide by your column count for the real row limit.
Teable: How many rows can it actually hold?
As many as your PostgreSQL instance can serve. There is no product imposed record limit on the self hosted edition, which is the main reason to choose it.
Coefficient: Does it write data back?
Yes, to supported systems such as Salesforce. Confirm with your data governance team before enabling it.
Teable: Can I query the data with SQL directly?
Yes. Tables are real PostgreSQL tables, so any SQL client or reporting tool can read them.
Coefficient: Is there a free tier?
Pricing is not published in a form that can be quoted reliably. Ask the vendor before budgeting.
Teable: Is self hosting genuinely free?
The licence is. The database server, backups and the engineer maintaining them are not.
Coefficient: Does it work in Excel?
Yes, across both Google Sheets and Microsoft Excel with the same connectors.
Teable: Does it replace Airtable feature for feature?
No. Views and field types are close; automations, apps and the integration catalogue are not.
Coefficient: What is the hidden cost?
Warehouse query credits and source API calls consumed by scheduled refreshes, which are billed by those vendors and not by Coefficient.
Teable: What happens to my data if the project stops?
It remains in a standard PostgreSQL database that you control, which is a materially better exit than a proprietary export format.
Related pages
More on Coefficient
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