# Devin vs ScoutDB

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. ScoutDB records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [ScoutDB](https://openaitools.app/tool/scoutdb) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://scoutdb.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI For Data Analytics, AI Agent, AI Developer Tools, Large Language Models (LLMs) |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 2,549,346 | 0 |
| MoM Growth Rate | +1% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 1,386,401 | 0 |
| Review Score | 4.3 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | website | Website |

## Devin

Devin sits at the agentic end of the AI coding spectrum. Instead of suggesting the next line, it takes a ticket-level goal - "add SAML SSO for enterprise customers" or "investigate this API latency spike" - explores the codebase across repositories, implements changes, runs tests, and explains the resulting pull request in plain language. It maintains a wiki-style map of the codebase so it can navigate unfamiliar services and keep documentation current as the code changes.

A defining feature is that Devin works on its own machine. It provisions Windows, Mac, and Linux virtual machines as needed, builds the project, exercises it in a browser, and can record itself clicking through the feature it just built. Long-running work continues in the cloud when your laptop is closed, and large tasks can be split across parallel agents that Devin coordinates and reports on.

For teams, Devin extends beyond one-off prompts. You can tag @Devin in Slack or Teams so it reads a thread and replies with a PR, set up automations that fix failing tests or patch vulnerable dependencies as they appear, and run security reviews. Pricing is seat-based and enterprise-oriented, with an Ultra tier for heavier autonomous usage, and Cognition has marketed large security-credit programs for enterprises.

**Pricing & Plans:** Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers.

- **End-to-end autonomous coding:** Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.
- **Its own virtual machines:** Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.
- **Slack, Teams, and alert integration:** Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.
- **Parallel cloud agents:** Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.
- **Codebase wiki and automations:** Devin maintains a living map of the architecture and supports recurring automations such as dependency upgrades, test fixes, and security scans.

**Strengths:** Handles ticket-level autonomous work rather than only suggesting code completions; Tests in its own browser and VMs, which catches issues that pure code generation misses; Deep workflow integration with Slack, Teams, CI, and alerting tools; Keeps working in parallel cloud agents even when your machine is off

**Limitations:** Premium, seat-based pricing puts it out of reach for casual individual use; Complex or poorly specified tasks still need human review before merging; Maximum value depends on having a well-structured repo and clean test setup

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

## ScoutDB

ScoutDB is a developer tool built by Scout AI for fast-moving engineering teams who want to reduce database spend without hand-auditing every query. The workflow starts by connecting a GitHub repository to ScoutDB, which then scans the codebase on a recurring basis to locate the database queries your application actually runs — including ones buried in services, jobs and unlikely files.

The service analyzes the usage and performance of each query and presents the results in a central dashboard, ranked by the size of the savings opportunity. From there, ScoutDB automatically generates pull requests containing query optimizations along with explanations of the changes, so engineers can review and merge them through their normal code-review process rather than rebuilding queries by hand. The pitch is direct: teams that adopt it can save thousands per month on database hosting, and ScoutDB describes itself as supported by figures such as Ali Partovi and endorsed by MongoDB developer advocates.

ScoutDB is sold primarily through a demo-led, contact-based motion aimed at engineering organizations rather than individual developers, and the site does not publish a public price list. It uses large language models as part of its analysis pipeline, and its FAQ addresses what operations it runs against your database and which LLMs it uses — relevant questions for any team granting a third-party tool repository and database access.

**Pricing & Plans:** Pricing is not published. ScoutDB is sold to engineering teams through a "Book a demo" flow, with commercial terms shared during the sales conversation. There is no public free tier, price list or self-serve checkout listed on the site.

- **Automatic codebase scanning:** Connects to your GitHub repository and regularly scans it to find all relevant database queries, including those hidden in services and background jobs.
- **Cost-opportunity dashboard:** Ranks every discovered query by highest opportunity to save costs, so teams can prioritize the changes with the largest impact.
- **Auto-generated optimization PRs:** Creates pull requests containing query optimizations with explanations, ready for normal code review and merge.
- **Usage and performance analysis:** Analyzes how each query is used and how it performs against your database, rather than judging syntax in isolation.
- **Fits existing dev workflow:** Works through GitHub pull requests, so improvements flow through the review process your team already uses.

**Strengths:** Targets a concrete, measurable outcome: lower database hosting costs; Fits existing review workflows by delivering changes as pull requests; Ranks queries by savings potential so effort goes to the highest-impact fixes; Continuous scanning helps prevent new inefficiencies from piling up

**Limitations:** No public pricing, so cost must be established through a sales conversation; Requires granting a third-party service access to your repository and database; Aimed at teams rather than individuals, with no self-serve or free tier

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

## Frequently Asked Questions

### How do Devin and ScoutDB compare in monthly traffic?

Devin has 2,549,346 monthly visits, while ScoutDB has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; ScoutDB has 0%.

### How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. ScoutDB: Contact for Pricing. Pricing is not published. ScoutDB is sold to engineering teams through a "Book a demo" flow, with commercial terms shared during the sales conversation. There is no public free tier, price list or self-serve checkout listed on the site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 3 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general autonomous agent platform executing multi-step goals and browsers, suitable for broader web and coding workflows. | [.md](https://openaitools.app/tool/manus.md) |
| 4 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agentic development platform running parallel AI coding agents across an IDE and CLI workspace. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 5 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | A cloud development platform featuring an AI agent that builds, runs, and deploys full-stack apps automatically. | [.md](https://openaitools.app/tool/replit.md) |
| 6 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform and IDE plugin that reads entire codebases to execute complex multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | An AWS spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies software engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [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) |
| 9 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI-powered IDE and coding agent that indexes entire repositories to plan, build, and test software. | [.md](https://openaitools.app/tool/trae.md) |

---
Source: https://openaitools.app/compare/devin-vs-scoutdb

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)