# Quadratic vs Keebo

Quadratic records 87,216 monthly visits with -18.3% month-over-month growth and Freemium pricing. Keebo records 7,566 monthly visits with +8.4% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Quadratic](https://openaitools.app/tool/quadratic-multiplayer) | [Keebo](https://openaitools.app/tool/warehouse-optimization) |
| :--- | :--- | :--- |
| Website URL | https://www.quadratichq.com | https://keebo.ai |
| Categories | AI Spreadsheet, AI For Data Analytics, SQL Query Builder, AI Charting | AI For Data Analytics, AI Copilot, AI Productivity Tools |
| Pricing Model | Freemium | Free Trial, Contact for Pricing |
| Monthly Visits | 87,216 | 7,566 |
| MoM Growth Rate | -18.3% | +8.4% |
| Primary Market | United States | United States |
| Direct Visits | 31,720 | 2,978 |
| Review Score | 4.5 | 4.6 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## Quadratic

Quadratic started as a fast, collaboration-first spreadsheet and is now marketed squarely as the AI spreadsheet. The grid is still familiar — cells, formulas, charts — but the surface underneath is a code environment: any cell can contain Python, SQL or JavaScript, and the AI assistant writes that code for you when you ask a question in plain English. Crucially, the generated code stays visible on the sheet, so an analysis is explainable rather than a black box. You can open the cell, read the logic, and change it.

The second half of the pitch is connectivity. Data arrives from CSVs, Excel workbooks, PDFs and live databases such as Postgres, MySQL, Snowflake, BigQuery, SQL Server, Supabase and Neon, with purpose-built connectors for QuickBooks, Google Analytics, Mixpanel and Plaid for personal finance. Everything lands in one spreadsheet that stays in sync, which removes the export-copy-paste cycle that plagues traditional analysis work. On scale, the company advertises datasets of up to 100 million rows in a single sheet.

Quadratic also fits into agent workflows. It implements the Model Context Protocol, so Claude, Cursor, ChatGPT or any MCP-enabled agent can read and write to a live spreadsheet while changes remain auditable and human-approved, and there is a REST API for triggering AI runs and reading or writing cells programmatically. Teams collaborate in real time inside the same file, and the company reports SOC 2 and HIPAA certification with 250,000+ users including data teams at large financial and logistics organisations.

**Pricing & Plans:** Freemium. There is a free entry path for individuals getting started, with paid tiers for small teams and larger organisations that add collaborative and enterprise features. The company does not publish every price detail on the landing page, so check the live pricing page for current per-seat figures.

- **Live data connections:** CSV, Excel and PDF files plus live connections to Postgres, MySQL, Snowflake, BigQuery, SQL Server, Supabase and more flow into one sheet that refreshes from the source.
- **Natural-language analysis:** Ask in ordinary language and the assistant writes the formulas, Python or SQL that answers the question — then leaves the code on the sheet so you can check it.
- **Python, SQL, formula and JavaScript cells:** Write real Python, SQL, JavaScript and spreadsheet formulas in cells, which makes Quadratic far more capable than a formulas-only grid.
- **MCP and API access:** Quadratic speaks the Model Context Protocol, so you can point Claude, Cursor, ChatGPT or another agent at your spreadsheet to read, write and verify work in it.
- **Big-data handling:** On huge datasets, sorting, filtering and AI analysis stay responsive — the site cites 100 million rows in a single sheet, roughly a hundred times the Excel row limit.
- **Finance and analytics integrations:** Connectors for QuickBooks, Google Analytics, Mixpanel and Plaid bring financials, product analytics and transactions into the same file.

**Strengths:** The generated code stays in the sheet, so results are auditable instead of a black box.; Genuinely large datasets are workable where Excel and Google Sheets hit their limits.; Live database and SaaS connectors replace repetitive CSV export workflows.; MCP and API support make it usable as the data layer inside agent workflows.

**Limitations:** The feature surface is large — AI agents, code cells, MCP, API — so onboarding takes longer than a basic spreadsheet.; Code-based analysis assumes some comfort with Python, SQL or JavaScript concepts.; Heavier data sources and agent runs consume plan limits, which is worth monitoring at volume.; Teams standardised on Excel macros will need to rebuild some existing workbooks.

[Profile (Markdown)](https://openaitools.app/tool/quadratic-multiplayer.md)

## Keebo

Keebo is an autonomous optimization company for cloud data warehouses. Cloud warehouses are routinely over-provisioned, and keeping them efficient through manual tuning is slow and inconsistent — engineers tune a warehouse, workloads shift, and the tuning goes stale. Keebo is built to close that gap by continuously adjusting compute to match how workloads actually behave, rather than issuing one-off recommendations.

The platform applies agentic AI to rightsize warehouses in both directions and to tune compute levers such as warehouse sizing and auto-suspend. It also provides a workload intelligence layer that shows query behaviour, bottlenecks and inefficiencies, which lets data platform teams and FinOps teams work from the same view of spend. Keebo advertises 27% average cost savings, over 100 engineering hours reclaimed per month, and more than 24 million autonomous optimizations taken.

Architecturally, Keebo is deliberately out-of-band. Rather than sitting inline as a rewrite layer or a connection proxy, it operates outside the query execution path and, per the company, never sees query text or result data. The practical consequences are zero added query latency and no code changes or SDK work. Keebo covers Snowflake and Databricks, including SQL serverless warehouses, and customers typically start with a demo and a scoped pilot. Pricing is not published; commercial terms are agreed with the sales team.

**Pricing & Plans:** Not published. Keebo is sold through a demo-and-quote process with a free trial/pilot arrangement, so cost depends on the size and shape of the customer's Snowflake or Databricks footprint.

- **Autonomous warehouse rightsizing:** Agentic AI adjusts warehouse sizing and compute settings in both directions, holding performance while removing wasted capacity.
- **Hands-off optimisation:** Continuous tuning runs in the background with no query rewriting, code changes or engineering tickets required.
- **Workload intelligence and observability:** Query behaviour, bottlenecks and inefficient patterns are surfaced so data and FinOps teams can act on the same evidence.
- **Metadata-only, out-of-band architecture:** The platform runs out-of-band and, per the vendor, never reads query text or result data, so there is no query-path dependency.
- **Snowflake and Databricks coverage:** Coverage spans Snowflake warehouses and Databricks SQL serverless warehouses, with a FinOps-oriented view of spend.

**Strengths:** Optimisation continues without engineer tickets or code changes; Out-of-band, metadata-only design adds no query latency; Covers both Snowflake and Databricks, including serverless SQL; Workload intelligence gives FinOps and data teams shared visibility

**Limitations:** No published list price; onboarding requires a sales conversation; Focused on Snowflake and Databricks, so other warehouses are out of scope; Automated tuning still benefits from data-team oversight during ramp-up

[Profile (Markdown)](https://openaitools.app/tool/warehouse-optimization.md)

## Frequently Asked Questions

### How do Quadratic and Keebo compare in monthly traffic?

Quadratic has 87,216 monthly visits, while Keebo has 7,566. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Quadratic has a month-over-month growth rate of -18.3%; Keebo has +8.4%.

### How does pricing compare?

Quadratic: Freemium. Freemium. There is a free entry path for individuals getting started, with paid tiers for small teams and larger organisations that add collaborative and enterprise features. The company does not publish every price detail on the landing page, so check the live pricing page for current per-seat figures. Keebo: Free Trial, Contact for Pricing. Not published. Keebo is sold through a demo-and-quote process with a free trial/pilot arrangement, so cost depends on the size and shape of the customer's Snowflake or Databricks footprint.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hex](https://openaitools.app/tool/hex-tech) | 782,737 | +10.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | An agentic analytics platform that turns questions into governed, trusted answers | [.md](https://openaitools.app/tool/hex-tech.md) |
| 2 | [Julius AI](https://openaitools.app/tool/julius-ai) | 665,487 | +5% | Free Trial, Contact for Pricing | Chat with your data to get analysis, charts, reports, and slides | [.md](https://openaitools.app/tool/julius-ai.md) |
| 3 | [GPT for Work (Autosheet)](https://openaitools.app/tool/gpt-for-work) | 160,670 | -13.5% | Free Trial, Paid | AI spreadsheet agent for Excel and Google Sheets | [.md](https://openaitools.app/tool/gpt-for-work.md) |
| 4 | [GPTExcel](https://openaitools.app/tool/gptexcel) | 120,862 | -14.8% | Freemium | AI spreadsheet assistant for formulas, pivots and analysis | [.md](https://openaitools.app/tool/gptexcel.md) |
| 5 | [nOps](https://openaitools.app/tool/nops) | 97,959 | +13.8% | Usage-based | Autonomous cloud cost optimization that pays for itself | [.md](https://openaitools.app/tool/nops.md) |
| 6 | [RowSpeak (Excelmatic)](https://openaitools.app/tool/excelmatic) | 80,081 | +8.8% | Freemium, Free Trial | AI data analytics for the spreadsheets you already have | [.md](https://openaitools.app/tool/excelmatic.md) |
| 7 | [Basedash](https://openaitools.app/tool/basedash-com) | 75,536 | +12.7% | Free Trial, Paid, Contact for Pricing | AI-native business intelligence your whole team can actually trust | [.md](https://openaitools.app/tool/basedash-com.md) |
| 8 | [Formula Bot (Better Analyst)](https://openaitools.app/tool/excel-formula-bot) | 73,186 | -35.3% | Freemium | AI data analyst that turns plain-English questions into charts, dashboards and clean spreadsheets | [.md](https://openaitools.app/tool/excel-formula-bot.md) |
| 9 | [AI2SQL](https://openaitools.app/tool/ai2sql) | 65,466 | -6.6% | Freemium | AI SQL assistant that writes, fixes and runs queries on your real schema | [.md](https://openaitools.app/tool/ai2sql.md) |
| 10 | [XenonStack](https://openaitools.app/tool/xenonstack) | 52,808 | +1.3% | Contact for Pricing | Decision infrastructure for governed enterprise AI agents | [.md](https://openaitools.app/tool/xenonstack.md) |

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Source: https://openaitools.app/compare/quadratic-multiplayer-vs-warehouse-optimization

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