Retool VS Amazon Machine Learning

Compare Retool VS Amazon Machine Learning and see what are their differences

Draxlr

Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured

Contents:

» Base Details
» Videos
» Reviews
» Alternatives

Retool

Build custom internal tools in minutes.

Amazon Machine Learning

Machine learning made easy for developers of any skill level

Landing page //
2023-08-04

Landing page //
2023-03-13

Retool

Website: retool.com
Pricing URL: Official Retool Pricing
$ Details: freemium $10.0 / Monthly (Startup)
Release Date: 2017 January
Startup details
Country: United States
State: California
City: San Francisco
Founder(s): David Hsu
Employees: 10 - 19

Edit details

Amazon Machine Learning

Website: aws.amazon.com
Pricing URL: -
$ Details: -
Release Date: -

Edit details

Retool features and specs

Speed of Development
Retool allows developers to rapidly build internal tools with a drag-and-drop interface, reducing the time it takes to get functional applications up and running.
Integration Capabilities
Retool supports integration with a wide range of databases, APIs, and other services, making it easier to connect different data sources and systems.
Customizability
While Retool provides prebuilt components, it also allows for custom code and scripting, enabling developers to tailor applications to specific requirements.
Collaboration Features
Retool supports collaborative features, such as sharing applications with team members and version control, making it easier to work in teams.
Security
Retool provides robust security features, including access control and data encryption, to help protect sensitive information.

Possible disadvantages of Retool

Cost
Retool can be relatively expensive compared to building internal tools from scratch or using some other platforms, potentially making it less accessible for smaller teams or startups.
Learning Curve
Despite its user-friendly interface, there can be a learning curve for new users who need to become familiar with its specific functionalities and scripting capabilities.
Customization Limitations
Though Retool offers customizability, there might be certain limitations compared to fully bespoke solutions, impacting highly specific or complex use cases.
Dependency on Retool
Relying heavily on Retool may create a dependency that could be problematic if the company changes its pricing, features, or discontinues services.
Performance
For very large datasets or highly complex operations, performance can become an issue, as it is with many platform-based solutions.

Amazon Machine Learning features and specs

Scalability
Amazon Machine Learning can handle increased workloads easily without significant changes in the infrastructure, making it ideal for growing businesses.
Integration with AWS
Seamlessly integrates with other AWS services like S3, EC2, and Lambda, simplifying data storage, processing, and deployment.
Ease of Use
User-friendly AWS Management Console and APIs make it easier for developers to build, train, and deploy machine learning models without needing deep ML expertise.
Performance
Offers high-performance computing capabilities that can accelerate the training and inference processes for machine learning models.
Cost-Effective
Pay-as-you-go pricing model ensures that you only pay for what you use, making it a cost-effective solution for various ML needs.
Prebuilt AI Services
Provides prebuilt, ready-to-use AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Polly, which simplify the implementation of complex ML solutions.

Possible disadvantages of Amazon Machine Learning

Complexity
While the service is designed to be user-friendly, the underlying complexity of Machine Learning algorithms and models can be a barrier for novice users.
Vendor Lock-In
Using Amazon Machine Learning extensively may lead to dependency on AWS services, making it difficult to switch providers or integrate with non-AWS services in the future.
Cost Management
Although pay-as-you-go is cost-effective, if not managed properly, costs can quickly escalate especially with extensive use and large-scale data processing.
Limited Customization
Prebuilt models and services may lack the level of customization needed for highly specialized use-cases requiring unique algorithms or configurations.
Data Privacy
Storing and processing sensitive data on an external service may raise concerns regarding data privacy and compliance with data protection regulations.
Learning Curve
Despite its ease of use, there is still a learning curve associated with mastering the AWS ecosystem and effectively utilizing its machine learning capabilities.

Analysis of Amazon Machine Learning

Overall verdict

Amazon Machine Learning is a good fit for businesses that need a reliable cloud-based machine learning platform, especially those already utilizing AWS services. Its scalability and integration capabilities make it suitable for a wide range of machine learning tasks.

Why this product is good

Amazon Machine Learning offers scalable solutions integrated with AWS services, making it a strong choice for users already within the AWS ecosystem. Its tools are built to handle large datasets and provide robust infrastructure, contributing to ease of deployment and management. Additionally, the service enables developers and data scientists to build sophisticated models without requiring deep machine learning expertise.

Recommended for

Developers and data scientists seeking seamless integration with AWS cloud services.
Organizations handling large-scale data analyses and machine learning projects.
Enterprises that prioritize scalability and flexibility in their machine learning operations.
Teams looking for a platform that supports both novice and expert users with varying levels of machine learning expertise.

Retool videos

+ Add

Retool - Logic Review

Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

Category Popularity

0-100% (relative to Retool and Amazon Machine Learning)

Retool

Amazon Machine Learning

No Code

100 100%

No Code

0% 0

0 0%

100% 100

Developer Tools

70 70%

Developer Tools

30% 30

Productivity

100 100%

Productivity

0% 0

User comments

Share your experience with using Retool and Amazon Machine Learning. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Retool and Amazon Machine Learning

Retool Reviews

Top 5 Dynobase alternatives you should know about - March 2025 Review

The choice ultimately depends on your environment and use case. Many teams use a combination of tools: for example, Dynomate for developers, and a Retool app for operations or support teams. By understanding the strengths of each alternative, you can select the tool (or combination of tools) that best integrates with your AWS workflow, making DynamoDB development smoother...

Source: www.dynomate.io

React UI Components Libraries: Our Top Picks for 2023

Retool offers extensive documentation and support. Its support is available on its Discourse forum, Slack (if you are a Retool power user), Intercom for live chat, and dedicated support for enterprise customers.

Source: kinsta.com

ILLA Cloud vs. Retool vs. Bubble - Unveiling the Best Low-Code Platforms

In the quest for the best low-code platform, Retool, Bubble, and ILLA Cloud all offer unique features and capabilities. While Retool shines with its self-hosted option and Bubble contributes to the open-source community, ILLA Cloud stands out as a powerful and flexible low-code platform. With its comprehensive feature set, affordable pricing models, and self-hosted...

Source: blog.illacloud.com

Top 9 Low-Code Tools for 2023 for low-code development

Retool is a powerful low-code platform that enables developers to build internal tools and apps with ease. It offers a drag-and-drop interface and a wide range of pre-built components for seamless development. Retool integrates with various data sources and external services, allowing users to fetch data, perform calculations, and display results in real-time. Its...

Source: blog.illacloud.com

Superblock vs Retool: A Comprehensive Comparison for Low-code development Platforms

Retool caters to a diverse audience, including developers, product managers, and business professionals. Developers benefit from Retool's low-code capabilities, allowing them to build applications quickly without sacrificing customization. Product managers can leverage Retool to streamline internal workflows and enable teams to be more productive. Business professionals can...

Source: blog.illacloud.com

Amazon Machine Learning Reviews

We have no reviews of Amazon Machine Learning yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Retool seems to be a lot more popular than Amazon Machine Learning. While we know about 99 links to Retool, we've tracked only 2 mentions of Amazon Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Retool mentions (99)

How Low-Code Platforms Are Changing the Future of App Development
Retool has carved out a specific niche by excelling at internal tool creation. Companies use it to build dashboards, admin panels, and business process applications that would otherwise consume valuable engineering resources. - Source: dev.to / 29 days ago
Code or No Code? The AI Revolution in Web Development
Retool – Low-code platform for business applications. - Source: dev.to / 3 months ago
I keep turning my Google Sheets into phone-friendly webapps, and I can't stop
As mentioned by another poster, check out "Partner portals" section on https://retool.com/. - Source: Hacker News / 5 months ago
How to Build Internal Tools 100x Faster
It is possible to speed up the development and delivery process for many internal applications by using no-code or low code tools. These vary in offerings from open source to SaaS, including popular ones like AirTable, BudiBase, Retool, NocoDB and others. These can all greatly help speed up delivery times. - Source: dev.to / 6 months ago
Do you need a No Code tool for Firebase?
There are some No Code tools for Firebase. Some of them are fully integrated, some of them use some limited functions of Firebase through their API. If a tool allows you to integrate with a REST API, you probably can use it. Some of them are: FlutterFlow, JetAdmin, Retool, Bubble, etc. - Source: dev.to / 7 months ago

Amazon Machine Learning mentions (2)

Rant + Planning to learn full stack development
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 3 years ago
Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 4 years ago