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Devin VS Structa

Compare Devin VS Structa and see what are their differences

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Devin

Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser.

No screenshot yet
Rating
0 reviews
Alternatives Is it good?
Structa

Design databases with AI, edit with clicks

No screenshot yet
Rating
0 reviews
Pricing
Freemium
Alternatives Is it good?
Jaah
Jaah is Just Another Agentic Harness, for production-grade AI-generated code. Coding agents write the code. Jaah makes it production-grade. sponsored

Which is more popular?

Based on our record, Devin seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
1 vs 0
Developer Tools popularity
88% vs 12%
alternatives listed
96 vs 16

Base details

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

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Devin
Structa
Website cognition.com trystructa.com
Pricing —
Freemium Official pricing
Company — Startup from Norway · 1 - 9 employees · 2025
Listed in
AI Utilities Developer Tools Communications +1
Developer Tools Schema Generators Database Management No-code Development Platforms Database Tools +2

About Devin and Structa

In their own words, as submitted to SaaSHub.

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Devin
Structa

No description of Devin yet.

Structa is the fastest way to design and deploy production-ready databases — using plain English and real code. Built for developers, Structa turns your app ideas into clean SQL, Prisma schemas, or live Supabase deployments — in minutes. 🔧 What Structa Does Describe your database in plain English...

Read more about Structa

Features and specs

What each product offers, as listed by its team.

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Devin 0 features
Structa 5 features

No features have been listed yet.

  • AI-Powered Document Processing
    Structa leverages artificial intelligence to automatically extract and structure data from various document types, reducing manual data entry and saving significant time for users.
  • Structured Data Output
    The platform converts unstructured documents into clean, structured data formats, making it easier to integrate extracted information into databases, spreadsheets, and other business workflows.
  • User-Friendly Interface
    Structa offers an intuitive and straightforward interface that makes it accessible for users without deep technical expertise, allowing teams to quickly adopt and start using the tool.
  • Multiple Document Format Support
    The platform supports a variety of document formats including PDFs, images, and other common file types, providing flexibility for users dealing with diverse document sources.
  • Time and Cost Efficiency
    By automating the document data extraction process, Structa helps businesses reduce the time and labor costs associated with manual document processing and data entry tasks.

Possible disadvantages

  • Limited Public Information
    As a relatively newer or niche product, there is limited publicly available information, reviews, and community feedback compared to more established document processing platforms, making it harder to evaluate before committing.
  • Accuracy Limitations
    Like most AI-powered extraction tools, Structa may struggle with complex, handwritten, or poorly formatted documents, potentially requiring manual review and corrections for certain document types.
  • Pricing Transparency Concerns
    The pricing structure may not be fully transparent or readily available on the website, which can make it difficult for potential users to assess cost-effectiveness before signing up.
  • Integration Ecosystem
    Compared to larger, more established competitors, Structa may have a more limited set of native integrations with third-party tools and enterprise systems, potentially requiring additional development work for seamless workflows.
  • Scalability Uncertainty
    For enterprises with very high-volume document processing needs, there may be uncertainty about the platform's ability to handle massive scale workloads as efficiently as more mature enterprise-grade solutions.

Analysis

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

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Devin
Structa

Overall verdict

  • Devin is a capable AI software engineering agent that shows real promise for automating routine coding tasks, though it works best as a productivity augmentation tool rather than a full replacement for human engineers. It's a solid choice for teams looking to offload repetitive work and accelerate development, but results can vary depending on task complexity.

Why this product is good

  • Functions as an autonomous AI agent that can plan and execute multi-step coding tasks end to end
  • Integrates with common developer tools like GitHub, Slack, and IDEs for smoother workflow adoption
  • Can handle repetitive or well-defined tasks such as bug fixes, migrations, and small feature work, freeing up human developers
  • Backed by Cognition Labs, which continues to invest heavily in improving the agent's reliability and capabilities
  • Offers the potential to scale engineering output by running tasks in parallel

Recommended for

  • Engineering teams looking to automate routine or repetitive coding tasks
  • Startups and companies wanting to boost developer productivity and throughput
  • Organizations comfortable reviewing AI-generated code and integrating agentic tools into their pipeline
  • Developers who want to offload boilerplate, migrations, or bug triage work
  • Teams experimenting with AI-assisted software development workflows

Overall verdict

  • Structa appears to be a useful tool for converting unstructured data into structured formats, but as a newer or niche product, prospective users should evaluate it against their specific technical needs and verify current features directly on trystructa.com since detailed independent reviews are limited.

Why this product is good

  • Aims to simplify converting raw or unstructured data into organized, structured formats
  • Likely offers a streamlined interface reducing manual data processing time
  • May integrate with existing workflows or tools for data handling
  • Positioned as a solution for developers or teams needing quick data structuring

Recommended for

  • Developers needing to parse or structure raw data quickly
  • Small teams looking for lightweight data transformation tools
  • Users seeking alternatives to more complex ETL platforms
  • Those evaluating new productivity tools in the data processing space

Videos

Walkthroughs and reviews on video.

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Devin 3 videos + Add
Structa 0 videos + Add

Devin review: is it a better AI coding agent than Cursor?

More videos

  • - Devin just came to take your software job… will code for $8/hr
  • - Devin AI Review: Is It Worth Trying?

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

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
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Devin
Structa
88% 88%
Developer Tools
12% 12%
100% 100%
AI
0% 0%
0% 0%
Schema Generators
100% 100%
100% 100%
AI Agents
0% 0%

Questions & Answers

As answered by people managing Devin and Structa.

What makes your product unique?

Structa's answer:

Structa is built specifically for one thing: AI-powered database design. Unlike generic AI tools, it generates normalized schemas with proper relationships, constraints, and clean exports — then lets you iterate visually without starting over. It's the only tool that combines prompt-based generation, drag-and-drop schema editing, AI validation, and 1-click Supabase deploy.

Why should a person choose your product over its competitors?

Structa's answer:

Structa delivers production-grade schemas — not broken SQL with hallucinated relationships.

It’s faster and safer than ChatGPT or Claude.

It replaces the messy workflow of copying between LLMs + dbdiagram + editors.

You get clean code, visual editing, and real deploys — all in one place

How would you describe the primary audience of your product?

Structa's answer:

Structa is for:

Full-stack and backend developers

Indie hackers building MVPs

Startups who want to move fast without compromising their backend

Anyone who’s tired of debugging AI-generated schemas

What's the story behind your product?

Structa's answer:

Structa was built by a solo founder frustrated with constantly fixing broken SQL from ChatGPT. The goal was simple: create a tool that understands real database design patterns, handles the heavy lifting with AI, and gives developers full control via visual editing and clean exports.

Which are the primary technologies used for building your product?

Structa's answer:

TypeScript

Next.js

PostgreSQL

Prisma

Supabase

Who are some of the biggest customers of your product?

Structa's answer:

Structa is still in early growth — but is actively used by:

Indie hackers

Backend engineers at early-stage startups

Developers building internal tools and SaaS products

User comments

Share your experience with using Devin and Structa. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

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Devin 1 mention
Structa 0 mentions
  • Devin, the "First AI Software Engineer," Failed 86% of Its Benchmark Tasks, and Then What
    Cognition, "Introducing Devin, the first AI software engineer" (March 12, 2024): the launch post; the 13.86% SWE-bench self-report and unassisted-evaluation details. - Source: dev.to / 3 months ago

Tracking Structa since Nov 2025.

Alternatives to Devin and Structa

When comparing Devin and Structa, you can also consider the following products.

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