Spreadsheets · head to head
Quadratic vs Readyset

Quadratic
Spreadsheets
Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid
- From
- Free
- Rated
- -

Readyset
Databases
Database caching and optimization that reduces infrastructure costs 30-70%
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.; Readyset pricing requires contacting sales team, making cost planning difficult
- They diverge on capability: Quadratic covers Multi-language cells, Readyset covers Automatic Query Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Quadratic and Readyset 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 Quadratic
- Multi-language cells
- Infinite canvas
- Direct database connections
- AI agent in the sheet
- WebAssembly engine
- Python package support
Only in Readyset
- Automatic Query Optimization
- SQL-Level Caching
- Live Incremental Updates
- Zero-Touch Integration
- Query Interception
- AI Query Protection
What people use each for
The jobs each tool is most often brought in to do.
Quadratic
- An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot Readyset
- Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot Readyset
- Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot Readyset
- Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot Readyset
Readyset
- Reducing database costs for AI workloads with unpredictable query patternsnot Quadratic
- Improving read performance for frequently accessed data without hardware upgradesnot Quadratic
- Protecting databases from performance degradation caused by agentic queriesnot Quadratic
- Scaling read-heavy applications without database scaling costsnot Quadratic
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Quadratic
- AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
- Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
- Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
- The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
- There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.
Readyset
- Pricing requires contacting sales team, making cost planning difficult
- Specific pricing tiers not disclosed publicly
- Requires cache size estimation for cost calculation
- Limited to read query caching, does not address write performance
Pricing, plan by plan
Quadratic
Free- PersonalFree
- Limited AI usage
- Limited files and connections
- Limited sharing
- Pro$18/month
- Billed annually
- 20 USD of AI credits per month
- Unlimited files
- Business$36/month
- Billed annually
- 40 USD of AI credits per month
- Advanced permissions
- Enterprise$undefined/year
- Quoted
- Self-hosting option
- Custom AI usage
Readyset
Free- CommunityFree
- Free tier for evaluation
- 7-day trial available
- Readyset CloudFree
- Fully-managed AWS deployment
- High availability
- VPC peering support
- Readyset PrivateFree
- Self-hosted on your servers
- Complete control
- Custom deployment
Which should you pick?
Choose Quadratic if
- You need multi-language cells.
- You want to start without paying.
- You work on Web, macOS, Windows, Linux.
- You also want infinite canvas.
Choose Readyset if
- You need automatic query optimization.
- You want to start without paying.
- You work on Cloud, Self-Hosted.
- You also want sql-level caching.
Questions people ask
- Is Quadratic or Readyset better?
- Neither clearly leads. Quadratic starts at Free and Readyset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Quadratic or Readyset?
- Quadratic starts at Free and Readyset at Free.
- Does Quadratic or Readyset run on more platforms?
- Quadratic runs on Web, macOS, Windows, Linux. Readyset runs on Cloud, Self-Hosted.
- Can I use Quadratic for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Quadratic best used for?
- Quadratic is most often used for an analyst who wants a sql result, a python transformation and a set of manual assumptions visible in one file instead of three tools, ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cell, sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebook, prototyping a data pull against a warehouse before committing it to a scheduled pipeline. Of those, an analyst who wants a sql result, a python transformation and a set of manual assumptions visible in one file instead of three tools and ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cell are not what Readyset is typically brought in for.
- What can Quadratic do that Readyset cannot?
- Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet. Readyset covers Automatic Query Optimization, SQL-Level Caching, Live Incremental Updates, Zero-Touch Integration.
Answered from the vendors’ own pages
Quadratic: Do I need to know Python to use it?
No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.
Readyset: Do I need to change my application code?
No, Readyset integrates transparently through query interception with zero code changes or schema modifications required.
SourceQuadratic: What happens when the AI credits run out?
Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.
Readyset: Is there a free trial?
Yes, Readyset offers a free 7-day trial that lets you test different cache sizes before committing to a paid plan.
SourceQuadratic: Can it replace a BI tool?
Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.
Readyset: How does Readyset pricing work?
Readyset is available as a monthly or annual subscription charged based on the size of cache you need. Contact [email protected] for specific pricing.
SourceQuadratic: Is my database query sent to the vendor?
Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.
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