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FriendlyData VS ThinkReview

Compare FriendlyData VS ThinkReview and see what are their differences

FriendlyData

Communicate with databases like a human

Rating
0 reviews
Alternatives Is it good?
ThinkReview

AI-Powered Code Reviews for GitLab, GitHub & Azure DevOps&Bitbucket - Instant Analysis, Security Detection & Conversational Copilot& Review agents. Zero Setup Required. Open Source.

Rating
0 reviews
Pricing
Open source Freemium Free trial £10 / Monthly (Lite subscription)
Alternatives Is it good?
AgentClara
AgentClara is a UK AI receptionist that answers calls, books clients, and handles follow-ups 24/7 for service businesses and agencies. Free AI agents for website chat, SMS, social media and email included. Set up online with a free number in minutes sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Databases popularity
100% vs 0%
alternatives listed
16 vs 17

Base details

Website, pricing, platforms and company facts side by side.

FriendlyData
ThinkReview
Website friendlydata.io thinkreview.dev
Pricing —
Open source Freemium Free trial £10 / Monthly (Lite subscription) Official pricing
Platforms —
Google Chrome Edge Brave Opera Comet GitHub GitLab Azure +5
Company — Startup from the United Kingdom · 1 - 9 employees · 2025
Listed in
AI Databases No Code Spreadsheets +1
Code Review Azure DevOps GitLab Copilot Developer Tools Productivity Software Development Code Analysis Code Quality GitHub +7

About FriendlyData and ThinkReview

In their own words, as submitted to SaaSHub.

FriendlyData
ThinkReview

No description of FriendlyData yet.

ThinkReview is a browser extension for AI-assisted code reviews on GitHub, GitLab, Azure DevOps, and Bitbucket. It combines fast review summaries, security and best-practice findings, and structured code suggestions with a practical reviewer workflow: reviewers keep control, can copy/edit...

Read more about ThinkReview

Features and specs

What each product offers, as listed by its team.

FriendlyData 3 features
ThinkReview 13 features
  • Ease of Use
    FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
  • Time-Saving
    By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
  • Integration
    FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

  • Complex Queries Limitation
    While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
  • Language Ambiguity
    Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
  • Dependency on Vendor
    Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.
  • Zero-Configuration Setup
    Works instantly as a browser extension right out of the box. There is no need to integrate with CI/CD pipelines or have repo admin access.
  • Comprehensive AI Code Review:
    Get a full summary of the merge request, with automated checks for best practices, potential security vulnerabilities, and actionable suggestions for improvement
  • AI-Generated Comments
    Instantly create professional, context-aware feedback for any block of code.
  • Smart Question Suggestions
    Uncover potential issues and edge cases with AI-powered questions tailored to the merge request.
  • Multi Language Settings
    Set your preferred language once and get all AI responses in your native tongue.
  • Multi-Platform Support
    Works seamlessly with Google Chrome l Chromium-based browsers (Edge, Brave, etc.).
  • Custom Review Rules
    Tailor code reviews to your team's specific needs with customizable review rules. Define your own security checks, best practices, and quality standards for personalized AI analysis.
  • Flagship Frontier LLM Models
    Access the latest and most advanced AI models including GPT-5.2-Codex, Claude Haiku 4.5, Gemini 3.0 Pro, and more. View all available models optimized for code review.
  • Ollama Support
    Run code reviews completely offline and privately using local AI models. Your code never leaves your machine - perfect for sensitive projects and complete privacy control.
  • MCP
    OAuth 2.1 authentication for your favorite MCP clients like Cursor, Claude Code, Claude Desktop, and GitHub Copilot.
  • Chat with Your PRs
    Have interactive conversations with your merge requests and pull requests. Ask questions, get detailed explanations, and generate comprehensive summaries and professional review comments using AI-powered conversational reviews.
  • Implement via IDE
    one clisk t implement review suggestions via Cursor, Claude Code, GitHub Copilot , Antigravity
  • Custom Review agents
    Create up to 10 custom review agents with custom prompts , review sections and best practices references

Analysis

An editorial look at what each product does well and who it suits.

FriendlyData
ThinkReview

No analysis of FriendlyData yet.

Overall verdict

  • I don't have verified information about ThinkReview (thinkreview.dev), so I can't confidently confirm whether it's a good product. You should evaluate it directly through trials, reviews, and documentation before committing.

Why this product is good

  • I lack reliable, up-to-date data about this specific service, so any endorsement would be speculation
  • Product quality depends on your specific needs, which are best assessed through a free trial or demo
  • Independent user reviews and third-party comparisons offer more trustworthy signals than an uninformed opinion
  • Checking the vendor's documentation, pricing transparency, and support responsiveness helps gauge reliability

Recommended for

  • Users who first verify the tool through a hands-on trial or demo
  • Teams that cross-check independent reviews and testimonials before adopting
  • Buyers who confirm the service matches their specific workflow and budget needs

Videos

Walkthroughs and reviews on video.

FriendlyData 0 videos + Add
ThinkReview 1 video + Add

No FriendlyData videos yet. You could help us improve this page by suggesting one.

ThinkReview Gitlab MR Copilot

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
FriendlyData
ThinkReview
100% 100%
Databases
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
AI
0% 0%
0% 0%
Code Review
100% 100%

Questions & Answers

As answered by people managing FriendlyData and ThinkReview.

What makes your product unique?

ThinkReview's answer:

Its biggest differentiator is the zero-configuration setup. Unlike many competitors, ThinkReview works instantly as a browser extension without needing complex CI/CD integration, setup tokens, or granting access to your entire GitLab/GitHub project. It enhances the developer's existing workflow directly in the browser.

Why should a person choose your product over its competitors?

ThinkReview's answer:

You should choose ThinkReview for its simplicity and speed. It's the fastest way to start with AI code reviews—install the extension, and you're done. It empowers individual developers to improve their reviews immediately, without the overhead and enterprise-level pricing of deeply integrated tools.

How would you describe the primary audience of your product?

ThinkReview's answer:

Our primary audience consists of individual developers and small to medium-sized teams using GitLab. It's perfect for developers and team leads who want to improve code quality and efficiency without a complex, top-down implementation process.

What's the story behind your product?

ThinkReview's answer:

The story is simple: it was born from the founder's frustration with code reviews being a slow, repetitive bottleneck. The goal was to create a tool that was easy to install, worked out of the box, and acted as a true AI copilot to assist the human reviewer, not just an automated bot.

Which are the primary technologies used for building your product?

ThinkReview's answer:

The core of the product is a browser extension built with JavaScript, HTML, and CSS. It communicates securely with major AI and Large Language Model (LLM) APIs to provide its intelligent feedback.

Who are some of the biggest customers of your product?

ThinkReview's answer:

As a recently launched tool, our primary user base consists of individual developers and growing teams who have adopted ThinkReview to streamline their personal and team workflows. We are focused on building this grassroots support before targeting large enterprise customers.

User comments

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