Software Alternatives, Accelerators & Startups

Dataiku VS Clarifai

Compare Dataiku VS Clarifai and see what are their differences

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Dataiku logo Dataiku

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

Clarifai logo Clarifai

The World's AI
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Clarifai Landing page
    Landing page //
    2023-10-01

Clarifai is a leading deep learning AI platform for computer vision, natural language processing and automatic speech recognition. We help enterprises and public sector organizations transform unstructured images, video, text and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own. Our technology is used across many industries including E-commerce, Defense, Retail, Manufacturing, and more.

Our platform is powered by state-of-the-art machine learning and comes with the broadest repository of pre-trained out-of-the-box AI models to search, sort, and organize visual, textual, and audio data and help companies build turnkey AI solutions. Our pre-trained models can detect explicit content, faces, embedded objects and text within images and video as well as predict various attributes such as celebrities, food items, textures, colors, and more. An intuitive, feature-rich user interface makes it easy to use for all skill levels. We offer a free API to researchers and developers to get started building their own models in the efforts of using AI to help the greater good.

Dataiku

$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Clarifai features and specs

  • API
  • Artificial Intelligence
  • Workflow Management
  • Workflow Automation
  • AI Powered
  • AI Analytics
  • AI API
  • Automated workflow
  • Automating Tasks & Notifications

Analysis of Clarifai

Overall verdict

  • Yes, Clarifai is considered a good AI platform due to its robust capabilities, ease of use, and flexibility in handling various machine learning tasks. It is particularly praised for its powerful pre-trained models and the ease with which users can integrate AI functionalities into their applications.

Why this product is good

  • Clarifai is a well-regarded platform for artificial intelligence and machine learning, particularly in the field of image and video recognition. It provides a comprehensive suite of tools and APIs that allow developers and businesses to build and deploy custom AI models quickly and efficiently. The platform supports a wide range of applications such as facial recognition, object detection, and visual search, which can be beneficial for industries like e-commerce, automotive, and healthcare.

Recommended for

    Clarifai is recommended for businesses and developers who need to incorporate advanced image and video recognition capabilities into their products. It is particularly useful for companies in fields such as retail, security, media, and any other industry that benefits from analyzing visual data efficiently.

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Clarifai videos

What is Clarifai?

More videos:

  • Demo - The Clarifai AI Lifecycle Platform | Computer vision, NLP and automatic speech recognition

Category Popularity

0-100% (relative to Dataiku and Clarifai)
Data Science And Machine Learning
Image Analysis
0 0%
100% 100
Data Science Tools
100 100%
0% 0
OCR
0 0%
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 Dataiku and Clarifai

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Clarifai Reviews

We have no reviews of Clarifai yet.
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What are some alternatives?

When comparing Dataiku and Clarifai, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

OpenCV - OpenCV is the world's biggest computer vision library

NumPy - NumPy is the fundamental package for scientific computing with Python