Technology · head to head
Heap vs Teable

Teable
Spreadsheets
Spreadsheet interface over real PostgreSQL tables, so the data stays queryable by anything that speaks SQL
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Heap no built-in A/B testing or feature flags; requires integration with separate tools for experimentation; 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: Heap covers Autocapture, Teable covers PostgreSQL native storage.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Heap and Teable actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Heap
- Autocapture
- Retroactive analytics
- Session replay
- Funnel analysis
- User segmentation
- Path analysis
- Data science
- Virtual events
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.
Heap
- User behavior analysisnot Teable
- Conversion optimizationnot Teable
- Product adoptionnot Teable
- Customer journey mappingnot Teable
- A/B testing analysisnot Teable
Teable
- A team that has hit the record ceiling of a hosted spreadsheet database and does not want to move to raw SQLnot Heap
- Operational data that a business intelligence tool must also read directly, without an export or a sync jobnot Heap
- A regulated or data resident organisation that needs the underlying database inside its own infrastructurenot Heap
- An internal tool where a grid interface and a REST API over the same table are both requirednot Heap
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Heap
- No built-in A/B testing or feature flags; requires integration with separate tools for experimentation
- Group analytics and advanced features require a sales conversation, not self-serve
- Cloud-only deployment; no self-hosted option for data security or compliance requirements
- Session replay lacks developer debugging tools compared to PostHog
- Pricing for Growth and Pro plans requires direct sales contact; no transparency on how pricing scales
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
Heap
Free- FreeFree
- Up to 10,000 monthly sessions
- Basic charts
- 6 months data history
- Growth$undefined/custom
- Custom session pricing
- Sense AI assistant
- 12 months data history
- Pro$undefined/custom
- Custom session pricing
- Account analytics
- Engagement matrix
- Premier$undefined/custom
- Custom session pricing
- Data warehouse integration
- Unlimited projects
Teable
Free- Self hosted open sourceFree
- No licence fee
- Unlimited rows subject to your PostgreSQL capacity
- Docker deployment
Which should you pick?
Choose Heap if
- You need autocapture.
- You want to start without paying.
- You work on Web, iOS, Android.
- You also want retroactive analytics.
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 Heap or Teable better?
- Neither clearly leads. Heap starts at Free and Teable at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Heap or Teable?
- Heap starts at Free and Teable at Free.
- Does Heap or Teable run on more platforms?
- Heap runs on Web, iOS, Android. Teable runs on Web, Linux.
- Can I use Heap for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Heap best used for?
- Heap is most often used for user behavior analysis, conversion optimization, product adoption, customer journey mapping. Of those, user behavior analysis and conversion optimization are not what Teable is typically brought in for.
- What can Heap do that Teable cannot?
- Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. Teable covers PostgreSQL native storage, Multiple views, Linked records and rollups, Generated REST API.
Answered from the vendors’ own pages
Heap: What does Heap's autocapture feature do?
Heap's autocapture is a single code snippet that automatically captures every click, swipe, tap, pageview, and form fill on your website and apps without requiring manual event setup. Once installed, Heap captures the entire digital experience of every user on every platform with no ongoing engineering maintenance needed.
SourceTeable: 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.
Heap: What are Heap's pricing plans and how much do they cost?
Heap offers a Free plan for up to 10,000 monthly sessions. Growth, Pro, and Premier plans use custom session-based pricing that requires contacting sales for a quote. Free includes basic charts and 6 months data history. Growth adds the Sense AI assistant. Pro adds account analytics. Premier adds data warehouse integration and dedicated customer success management.
SourceTeable: Can I query the data with SQL directly?
Yes. Tables are real PostgreSQL tables, so any SQL client or reporting tool can read them.
Heap: Does Heap include session replay and A/B testing?
Heap includes integrated session replay showing exactly what users did on your site. However, Heap does not include built-in A/B testing or feature flags. Teams requiring these capabilities must use separate tools or integrate with third-party platforms.
SourceTeable: Is self hosting genuinely free?
The licence is. The database server, backups and the engineer maintaining them are not.
Heap: What integrations does Heap support?
Heap supports over 100 integrations connecting to business tools including marketing platforms, CRMs, and data warehouses. This allows insights to reach relevant teams and ensures data flows to other business systems automatically.
SourceTeable: Does it replace Airtable feature for feature?
No. Views and field types are close; automations, apps and the integration catalogue are not.
Heap: Does Heap offer self-hosting or is it cloud-only?
Heap is cloud-only and does not offer self-hosted options. Organizations requiring on-premises deployment should consider alternatives like PostHog which supports self-hosting alongside its cloud product.
SourceTeable: 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.
Heap: What is Sense and how does it help with analytics?
Sense Chat is Heap's AI assistant that enables users to access analytics without extensive technical knowledge. It allows teams to ask questions about user behavior and get answers directly without lengthy onboarding or technical expertise, making insights more accessible to non-technical stakeholders.
SourceRelated pages
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