# Cursor vs DGi by Datagran

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. DGi by Datagran records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [DGi by Datagran](https://openaitools.app/tool/dgi) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.dgintelligence.ai |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI For Data Analytics, AI Agent, AI Workflow, AI Code Generator |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 4.1 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## 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)

## Frequently Asked Questions

### How do Cursor and DGi by Datagran compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while DGi by Datagran has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; DGi by Datagran has 0%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [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) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |

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Source: https://openaitools.app/compare/cursor-vs-dgi

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