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SQL Database Modeler VS Cachely.dev

Compare SQL Database Modeler VS Cachely.dev and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

SQL Database Modeler logo SQL Database Modeler

SqlDBM - Online Database Modeler

Cachely.dev logo Cachely.dev

Cachely is a managed implementation of self-hosted remote cache for monorepos. Speed up CI, prove how much time and cost you saved, get build optimization suggestions, safe from cache poisoning (CVE-2025-36852). Turborepo and Bazel on the roadmap.
  • SQL Database Modeler Landing page
    Landing page //
    2023-07-28
  • Cachely.dev Landing page
    Landing page //
    2026-08-01

Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.

Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.

Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.

SQL Database Modeler features and specs

  • User-Friendly Interface
    SQL Database Modeler offers an intuitive and easy-to-navigate interface that simplifies database design, even for beginners.
  • Cloud-Based
    Being a cloud-based tool, it allows for easy access from any location, facilitating collaboration among team members across different geographic locations.
  • Collaboration Features
    The tool offers collaboration features that enable multiple users to work on the same project simultaneously, improving productivity and teamwork.
  • Import/Export Capabilities
    SQL Database Modeler provides support for importing existing databases and exporting models to various formats, making it versatile and convenient for various tasks.
  • Visual Representation
    The tool allows for visual data modeling, which helps users easily understand complex database structures through diagrams and visual aids.
  • Cloud-Based Access
    Being cloud-based, SQLDbm allows users to access and work on their projects from anywhere without needing to install any software locally.
  • Version Control
    SQLDbm offers version control features that allow users to track changes and manage different versions of their database schemas effectively.
  • Integration Capabilities
    SQLDbm can integrate with various other tools and platforms, facilitating a seamless workflow for developers and database administrators.

Possible disadvantages of SQL Database Modeler

  • Limited Offline Access
    Being primarily a cloud-based tool, it requires an internet connection to access, which may be a limitation in offline scenarios.
  • Learning Curve for Advanced Features
    While the basic features are user-friendly, some advanced functionalities may have a learning curve for new users.
  • Subscription Cost
    The tool may require a subscription for full access to all features, which could be a factor for budget-conscious users or smaller teams.
  • Performance Limitations
    Depending on the complexity of the database model and the limitations of the browser, performance might be an issue when handling very large datasets or complex projects.
  • Limited Database Support
    While it supports popular databases, some specialized or less common database systems may not be fully supported.
  • Limited Free Version
    The free version of SQLDbm is limited in features and may not be suitable for more complex or larger scale projects.
  • Performance Issues
    Some users have reported performance issues, especially when dealing with large databases, which can hinder productivity.
  • Feature Parity
    While SQLDbm offers many features, it may lack some advanced functionalities found in other, more robust database management tools.
  • Dependency on Internet Connection
    As a cloud-based tool, SQLDbm requires a stable internet connection, which can be a disadvantage in areas with poor connectivity.

Cachely.dev features and specs

  • Simplified Caching Setup
    Cachely.dev likely offers an easy-to-integrate caching layer that reduces the complexity of manually configuring caching infrastructure, allowing developers to implement caching with minimal setup time.
  • Performance Improvement
    By providing a dedicated caching solution, Cachely.dev can help reduce latency and improve application response times, especially for frequently accessed data or API responses.
  • Developer-Focused Design
    The .dev domain and branding suggest the product is tailored specifically for developers, potentially offering clean APIs, SDKs, and documentation that fit into modern development workflows.
  • Scalability
    As a specialized caching service, it may be built to handle scaling automatically, removing the burden of managing cache infrastructure as traffic grows.
  • Reduced Backend Load
    Effective caching can significantly reduce the load on primary databases and backend services, potentially lowering infrastructure costs and improving overall system reliability.

SQL Database Modeler videos

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SqlDBM in Action

More videos:

  • Review - Aircraft Charter Modeling Using SQLDBM

Cachely.dev videos

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Category Popularity

0-100% (relative to SQL Database Modeler and Cachely.dev)

SQL Database Modeler

Cachely.dev

Databases
100 100%
Databases
0% 0
Productivity
0 0%
Productivity
100% 100
Data Modeling
100 100%
Data Modeling
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SQL Database Modeler and Cachely.dev

SQL Database Modeler Reviews

Best Database Diagram Tools: Paid with Free Trials and Free Alternatives
Head to SqlDBMโ€™s free trial page to get started online for free. SqlDBM is mainly a drag-and-drop tool with robust schema exploration capabilities, which you can test with sample data or by hooking up your own database.
Source: www.atlassian.com
Best Database Diagram Tools โ€“ Free and Paid
Not all tools speak the same SQL dialect. Ensure compatibility with your stackโ€”whether itโ€™s SQL Server (dbForge, SqlDBM), PostgreSQL (DbSchema, SqlDBM), MySQL (DbSchema, QuickDBD), or even MongoDB (less common in ERD tools). The tighter the integration, the more value youโ€™ll get from reverse engineering, live sync, and schema deployment.
Source: blog.devart.com
Top 9 Data Modeling Tools Every Team Needs
SqlDBM is a versatile and intuitive web-based database modeling tool for efficient designing and managing SQL database schemas. Its user-friendly interface makes it accessible to beginners, while advanced functionality suits experienced developers. As a cloud-based platform, SqlDBM eliminates the need for installations, providing easy access from anywhere with an internet...
Source: www.devart.com

Cachely.dev Reviews

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What are some alternatives?

When comparing SQL Database Modeler and Cachely.dev, you can also consider the following products

erwin Data Modeler - erwin Data Modeler provides a collaborative environment to manage enterprise data though an...

nxCloud - nxCloud is a commercial OwnCloud provider

DbSchema - DbSchema - Visual Database Design & Management Tool

pgModeler - Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

Moon Modeler - Data modeling, schema design, and reporting tool for MongoDB and noSQL databases.

Quest Software - Simplify IT management and spend less time on IT administration and more time on IT innovation. Itโ€™s time to rethink systems and information management.

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