# Explo vs Quadratic Explo records 35,872 monthly visits with -14% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Quadratic records 87,216 monthly visits with -18.3% growth and Freemium pricing. | Metric | [Explo](https://openaitools.app/tool/explo) | [Quadratic](https://openaitools.app/tool/quadratic-multiplayer) | | :--- | :--- | :--- | | Website URL | https://explo.co | https://www.quadratichq.com | | Categories | AI For Data Analytics, AI Report Generator, AI Charting, AI Developer Tools | AI Spreadsheet, AI For Data Analytics, SQL Query Builder, AI Charting | | Pricing Model | Freemium, Paid, Contact for Pricing | Freemium | | Monthly Visits | 35,872 | 87,216 | | MoM Growth Rate | -14% | -18.3% | | Primary Market | Brazil | United States | | Direct Visits | 21,747 | 31,720 | | Review Score | 4.1 | 4.5 | | Saved Count | 0 | 3 | | Supported Platforms | Website | Website | ## Explo Explo is built for product teams that need to give their own customers analytics without dedicating quarters of engineering time to building a reporting interface. You connect a supported relational database or data warehouse directly, and Explo handles modeling, visualization, and delivery. The platform ships a dashboard component set (tables, charts, KPIs, filters, share buttons, switches) plus a style configurator so the embedded experience can be matched to your app's fonts, borders, and shadows. The product is organized around four core capabilities: Dashboard for customer-facing analytics, Report Builder AI for self-service reporting generated from your application data, Data Share for per-customer exports and scheduled delivery, and Host for teams that have no web portal to embed into. Explo also supports emailing reports to users and defining global datasets for consistent modeling across dashboards and reports. Explo markets itself toward SaaS platforms, e-commerce, ed-tech, healthcare, logistics, CRM, and fintech, with personnel-focused documentation for product, business, engineering, and data roles. The site states the company is SOC 2 Type 2 compliant and HIPAA certified, and offers dedicated hosting and region-specific stacks. A prominent banner notes that Explo is joining Omni, so prospective buyers should confirm current product roadmap and support terms directly with the vendor. **Pricing & Plans:** Pricing is listed as freemium with paid plans and a contact-for-pricing enterprise tier. Exact seat, usage, and embed-component limits are not published on the homepage, so teams should request a quote for current packaging. - **Embeddable dashboard components:** Drop in tables, charts, KPIs, filters, share buttons, and switches, then restyle them with a configurator so analytics feel native to your application. - **AI Report Builder:** Let end users generate custom reports from application data with AI assistance, turning stored data into meeting-ready and OKR-ready outputs. - **Data Share exports:** Configure per-customer report and data delivery so each account receives exactly the data it wants, on its own schedule and channel, without manual pipelines. - **Direct database connectivity:** Connect relational databases and warehouses without replicating data or rebuilding models, with global datasets keeping dashboards and reports consistent. - **Host and email delivery:** Serve analytics without a web portal via Host, and push scheduled reports to users by email when an in-app experience is not required. **Strengths:** Embeddable components with a style configurator that matches an existing application's look; Direct database and warehouse connections avoid data replication work; Covers dashboards, AI reports, exports, and email delivery in one platform; Security posture stated as SOC 2 Type 2 and HIPAA, with dedicated hosting and region-specific stacks **Limitations:** Public pricing details are limited, so evaluation requires a sales conversation; Site notes the company is joining Omni, which may affect roadmap and support continuity [Profile (Markdown)](https://openaitools.app/tool/explo.md) ## 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) ## Frequently Asked Questions ### How do Explo and Quadratic compare in monthly traffic? Explo has 35,872 monthly visits, while Quadratic has 87,216. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Explo has a month-over-month growth rate of -14%; Quadratic has -18.3%. ### How does pricing compare? Explo: Freemium, Paid, Contact for Pricing. Pricing is listed as freemium with paid plans and a contact-for-pricing enterprise tier. Exact seat, usage, and embed-component limits are not published on the homepage, so teams should request a quote for current packaging. 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. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Syft Analytics](https://openaitools.app/tool/syft-assist-ai) | 1,105,531 | +16.2% | Freemium, Free Trial, Paid | AI-powered financial reporting, dashboards and forecasting for accountants and finance teams | [.md](https://openaitools.app/tool/syft-assist-ai.md) | | 2 | [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) | | 3 | [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) | | 4 | [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) | | 5 | [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) | | 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 | [Sourcetable — AI spreadsheet & data analyst](https://openaitools.app/tool/sourcetable-ai-spreadsheet-data-analyst) | 38,499 | +13.2% | Freemium, Free Trial, Paid | The AI-native spreadsheet that talks to your databases | [.md](https://openaitools.app/tool/sourcetable-ai-spreadsheet-data-analyst.md) | --- Source: https://openaitools.app/compare/explo-vs-quadratic-multiplayer More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)