Software Alternatives, Accelerators & Startups
Register | Login

datarobot VS CLICK AI

Compare datarobot VS CLICK AI and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

datarobot logo datarobot

Become an AI-Driven Enterprise with Automated Machine Learning

CLICK AI logo CLICK AI

CLICK AI is an all-in-one artificial intelligence solution that provides many functions such as data collection, preprocessing, artificial intelligence modeling, prescriptive analysis, future prediction, and other functions with no coding required.
  • datarobot Landing page
    Landing page //
    2023-08-01
  • CLICK AI Landing page
    Landing page //
    2022-01-12

No need to hire AI developers or specialists to introduce new technology and diversify your business. This platform allows anyone to create deep learning-based AI models fast, with high accuracy, and without limitation by AI type/industry group.

With CLICK AI, you can use multiple data modeling features such as:

  • Automated Modeling
  • Classification
  • Image Classification
  • National Language Processing
  • Object Detection
  • Regression
  • Time Series Prediction
  • And much more!

datarobot

Website
datarobot.com
$ Details
Platforms
-
Release Date
2012 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
Jeremy Achin
Employees
1,000 - 1,999
Edit details

CLICK AI

Website
en.clickai.ai
$ Details
paid
Platforms
Web
Release Date
-
Edit details

datarobot features and specs

  • Ease of Use
    DataRobot provides a user-friendly interface that makes it accessible for users with varying levels of expertise, from data scientists to business analysts.
  • Automated Machine Learning (AutoML)
    The platform automates the process of building, deploying, and maintaining machine learning models, significantly reducing the time and effort required.
  • Scalability
    DataRobot supports scalable machine learning workflows, allowing businesses to handle large datasets and complex computations efficiently.
  • Integration
    DataRobot offers seamless integration with popular data platforms and tools like AWS, Azure, BigQuery, and Snowflake, facilitating smooth data pipeline management.
  • Model Interpretability
    The platform provides various tools and visualizations for understanding and interpreting model predictions, which is crucial for decision-making and regulatory compliance.
  • Collaboration Features
    DataRobot includes collaboration tools that allow teams to work together on projects, share insights, and ensure consistency across different stages of the machine learning lifecycle.

Possible disadvantages of datarobot

  • Cost
    DataRobot can be expensive, especially for small businesses or startups with limited budgets, potentially making it inaccessible for some companies.
  • Complexity for Advanced Users
    While the platform is user-friendly, advanced users might find it restrictive because they may prefer more control and customization over their machine learning workflows.
  • Steep Learning Curve for Non-Data Scientists
    Despite being user-friendly, non-data scientists may still face a learning curve to fully leverage the platform's capabilities and understand the underlying machine learning principles.
  • Dependency on Cloud Services
    DataRobot's heavy reliance on cloud services can be a limiting factor for organizations with strict data governance policies that require on-premise solutions.
  • Limited Algorithm Choices
    While DataRobot supports a wide range of algorithms, it might not include certain niche models or the latest advancements in machine learning algorithms, which could be a limitation for specific use cases.
  • Data Privacy Concerns
    Handling sensitive data on a third-party platform can raise privacy concerns for some organizations, particularly those in highly regulated industries.

CLICK AI features and specs

  • AI Powered
  • AI Analytics
  • Data Import/Export
  • No Coding Skills Required

datarobot videos

+ Add

Build and Deploy a Managed Machine Learning Project in 10 minutes - Scott Lutz (DataRobot)

More videos:

  • Review - How DataRobot Works
  • Review - DataRobot Predictions Using Alteryx

CLICK AI videos

+ Add

[INTRODUCTION TO CLICK AI] Experience CLICK AI, the best AI tool with just a few clicks!

Category Popularity

0-100% (relative to datarobot and CLICK AI)

datarobot

CLICK AI

Data Science And Machine Learning
84 84%
Data Science And Machine Learning
16% 16
AI
72 72%
AI
28% 28
Business & Commerce
100 100%
Business & Commerce
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using datarobot and CLICK AI. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare datarobot and CLICK AI

datarobot Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service. DataRobot includes several independent but fully integrated tools (Paxata Data Preparation, Automated Machine...
Source: solutionsreview.com

CLICK AI Reviews

We have no reviews of CLICK AI yet.
Be the first one to post

Social recommendations and mentions

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

datarobot mentions (1)

  • Predicting the End of Season Bundesliga Table
    To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group.  We used DataRobot’s models to predict which team would win each match to simulate the final nine matchdays 10,000 times.  For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: about 2 years ago

CLICK AI mentions (0)

We have not tracked any mentions of CLICK AI yet. Tracking of CLICK AI recommendations started around Mar 2021.

What are some alternatives?

When comparing datarobot and CLICK AI, you can also consider the following products

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Lobe - Visual tool for building custom deep learning models

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

Neuro - Instant infrastructure for machine learning

Loading...