# DGi by Datagran vs Quadratic

DGi by Datagran records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Quadratic records 87,216 monthly visits with -18.3% growth and Freemium pricing.

| Metric | [DGi by Datagran](https://openaitools.app/tool/dgi) | [Quadratic](https://openaitools.app/tool/quadratic-multiplayer) |
| :--- | :--- | :--- |
| Website URL | https://www.dgintelligence.ai | https://www.quadratichq.com |
| Categories | AI For Data Analytics, AI Agent, AI Workflow, AI Code Generator | AI Spreadsheet, AI For Data Analytics, SQL Query Builder, AI Charting |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 0 | 87,216 |
| MoM Growth Rate | 0% | -18.3% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 31,720 |
| Review Score | 4.1 | 4.5 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## DGi by Datagran

DGi (also styled DG-i) is an AI data agent from Datagran aimed squarely at developers. Rather than a purely click-based analytics tool, it exposes a REST API where you create a session, register a database or file connection, and then ask natural-language questions about your data. The agent answers with analysis, tables and charts, and can be embedded inside your own product so end users can query their data without leaving your interface.

Beyond question answering, DGi covers the surrounding workflow. A scheduler accepts cron expressions or plain-English timing such as "every day at 9 AM" to run Python files and reports, with retries on failure. A visual builder turns results into interactive dashboards that are drag-and-drop, mobile responsive and export-ready. A separate web-automation API can navigate sites, extract data and run multi-step tasks, which is useful for competitive research and scraping jobs.

On the data side, DGi advertises connectors for PostgreSQL, MySQL, Snowflake, BigQuery, AWS S3 and CSV/Excel uploads. Datagran emphasizes security: double-envelope encryption for stored credentials, AES-256 at rest, TLS 1.3 in transit, and a zero-knowledge architecture where data stays in your own infrastructure. DGi also publishes a benchmark comparing its one-shot accuracy on data-science tasks favorably against several well-known coding and general assistants. Pricing is not listed publicly; you contact the team for a quote.

**Pricing & Plans:** No public price list. DGi is sold as contact-for-pricing, typically a sales conversation that covers API usage, seats and support. There is a free playground for trying the API with your own key.

- **Natural-language data agent API:** Create a session, connect a data source and ask questions in plain language; DGi returns analysis, tables and charts programmatically.
- **Broad data connectors:** Connect PostgreSQL, MySQL, Snowflake, BigQuery, AWS S3 and uploaded CSV or Excel files without moving data out of your environment.
- **Scheduler and orchestration:** Run Python scripts and reports on cron schedules or natural-language timing, with real-time execution and automatic retry on failure.
- **Visual app and dashboard builder:** Turn analysis into interactive, drag-and-drop, mobile-responsive dashboards that can be exported or embedded in your product.
- **Web automation API:** Programmatically browse websites, extract structured data and complete multi-step research or scraping workflows.

**Strengths:** Genuinely API-first, so the agent can be embedded in your own product rather than used only as a standalone app; Wide connector coverage including Snowflake, BigQuery, S3 and plain file uploads; Scheduler blends cron precision with natural-language timing and auto-retry; Published security posture: double-envelope encryption, AES-256 at rest and TLS 1.3 in transit

**Limitations:** Pricing is opaque and requires a sales conversation, which slows evaluation; No public free tier documented beyond a playground, and no self-serve signup flow on the site; Benchmark claims are self-reported and based on a small set of data-science tasks

[Profile (Markdown)](https://openaitools.app/tool/dgi.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 DGi by Datagran and Quadratic compare in monthly traffic?

DGi by Datagran has 0 monthly visits, while Quadratic has 87,216. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DGi by Datagran has a month-over-month growth rate of 0%; Quadratic has -18.3%.

### How does pricing compare?

DGi by Datagran: Contact for Pricing. No public price list. DGi is sold as contact-for-pricing, typically a sales conversation that covers API usage, seats and support. There is a free playground for trying the API with your own key. 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 | [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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Explo](https://openaitools.app/tool/explo) | 35,872 | -14% | Freemium, Paid, Contact for Pricing | Embed AI-powered, white-label analytics and data sharing into your product | [.md](https://openaitools.app/tool/explo.md) |

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

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