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Waydev VS Amazon Machine Learning

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

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Waydev logo Waydev

Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Waydev Landing page
    Landing page //
    2023-09-13

Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.

  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Waydev

Website
waydev.co
Pricing URL
Official Waydev Pricing
$ Details
freemium $449.0 / Annually (per active engineer)
Platforms
Windows Browser Mac OSX Linux REST API PHP
Release Date
2019 January
Edit details

Amazon Machine Learning

Website
aws.amazon.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Waydev features and specs

  • Comprehensive analytics
    Waydev provides in-depth insights into codebase productivity and helps teams understand their development patterns and bottlenecks through cohesive reports and dashboards.
  • Integration capabilities
    Waydev seamlessly integrates with various popular platforms such as GitHub, GitLab, Bitbucket, Azure DevOps, and more, making it versatile across different development environments.
  • Team performance monitoring
    It allows managers to monitor team performance in real-time and identify areas where developers are excelling or may need support, fostering a data-driven approach to team management.
  • Historical insights
    Waydev offers historical data analysis, allowing teams to track progress over time and measure the impact of changes or new processes on productivity.
  • Automated reporting
    The platform can generate automated reports, saving time for managers and providing consistent metrics for evaluation and decision-making.

Possible disadvantages of Waydev

  • Cost
    Some users may find Waydev's pricing to be on the higher side, especially smaller teams or startups with tight budgets.
  • Learning curve
    Waydev's advanced features and extensive data may require a learning period for users to become proficient in navigating and interpreting the tools and reports effectively.
  • Privacy concerns
    As Waydev analyzes detailed code and performance metrics, some team members may feel uncomfortable with the level of monitoring and data tracking involved.
  • Data dependency
    The accuracy and usefulness of Waydev's insights are heavily dependent on the quality and completeness of the data integrated from the various source platforms.
  • Limited customization
    While Waydev offers a range of standard reports and metrics, some users might find that it lacks the flexibility to fully customize analytics or dashboards to fit unique needs or preferences.

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.

Waydev videos

+ Add

Waydev Demo

Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

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

Waydev

Amazon Machine Learning

Data Dashboard
100 100%
Data Dashboard
0% 0
AI
0 0%
AI
100% 100
Analytics
100 100%
Analytics
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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

Amazon Machine Learning might be a bit more popular than Waydev. We know about 2 links to it since March 2021 and only 2 links to Waydev. 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.

Waydev mentions (2)

  • Which project management tools implement agile development?
    For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: almost 3 years ago
  • How is Software Development Analytics increasing Engineering Efficiency?
    When you’re ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / over 3 years 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

What are some alternatives?

When comparing Waydev and Amazon Machine Learning, you can also consider the following products

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

Apple Machine Learning Journal - A blog written by Apple engineers

Haystack Analytics - Software Delivery Analytics Tool for Engineering Teams. Deliver Software Faster, Better, and more Predictably.

Lobe - Visual tool for building custom deep learning models

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