9 Best Alternatives to Dataiku in November 2024

Alternatives & Competitors to Dataiku

  1. 1

    Microsoft for Startups

  2. 2

    Amazon S3

  3. 3

    Snowflake

  4. 5

    IBM Cloud

Here are competitors or alternatives to Dataiku and other similar Data Analytics software. You need to consider some important factors when choosing a tool like Dataiku for your business: the main features of each solution, ease of use of user interface, pricing or value for money for instance. Each software has its pros and cons so it's up to you to choose the best alternative to Dataiku that meets the needs of your small business. To help you compare each app and choose the right solution, we have put together a list of the best competitors of Dataiku. Discover sofware like Microsoft for Startups, Amazon S3, Snowflake or mongoDB.

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List of Alternatives to Dataiku

From Data Analytics tools, we have selected the best alternatives to Dataiku based on reviews for each solution and similarities with Dataiku. Of course, each solution has its benefits and drawbacks, and its own features but, whether you are a small business, a startup or a large enterprise, you will find the right choice that empowers your projects.

Microsoft for Startups logo

Growth assistance program for startups

4.2 (24 reviews)
Cloud And Data Management

With its Startups program, Microsoft gives a boost to startups by offering them free Azure cloud credits.

logo amazon s3

Scalable, secure, and simple storage for the internet

4.1 (29 reviews)
Cloud Storage

Amazon S3 (Simple Storage Service) provides a secure, reliable, and scalable storage solution for businesses and individuals to store and retrieve data from anywhere at any time.

logo snowflake

A platform to increase the growth of your startup

4.6 (19 reviews)
Cloud Storage

To support the development of startups, Snowflake offers a programme specially designed for them. Snowflake for Startups offers startups all the necessary elements (financial, technical, and marketing resources) to create successful applications or products via the data cloud.

logo mongodb

Boost your productivity with a database optimized for your applications

4.3 (23 reviews)
1 deal available | Redeemed by 422 members
Cloud And Data Management Cloud Storage

$500 in credits for 1 year

Save up to $500

mongoDB is the tool that will store all your NoSQL databases so you can spend less time managing your information and more time using it.

logo ibm cloud

Complete cloud platform to manage your data and processes.

4.4 (27 reviews)
Cloud Storage Cloud Computing

With more than 170 products and services, IBM Cloud makes it easy to manage all your business operations from the cloud: database management, AI, blockchain, security, analytics, everything is available and easily integrated.

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Go Premium

Get access to all our 384+ Premium deals for only $149/year.

logo digital ocean

Cloud Computing Platform

4.7 (22 reviews)
2 deals available | Redeemed by 2246 members
Cloud Storage Cloud Computing

$5,000 in credits for 1 year

Save up to $5,000

Easily develop and deploy your apps in complete security. Scale your business and manage your infrastructures with confidence.

logo databricks

From data to AI.

5.0 (4 reviews)
1 deal available | Redeemed by 66 members
Cloud And Data Management

$21,000 in credits for 1 year

Save up to $21,000

Databricks is a data and AI company that offers a unified platform designed to enhance data collaboration and foster innovation in data science and machine learning. 

logo google cloud

Cloud services by Google

4.3 (24 reviews)
2 deals available | Redeemed by 4541 members
Cloud Computing Cloud Storage Data Analytics

20-50% off your monthly spend and $500 in credits

Google Cloud helps you accelerate your business transformation by giving you the cloud services you need.

logo vertex ai

Crafting a smarter world with AI

(0 reviews)
AI Development

Vertex AI is a comprehensive, fully-managed AI development platform provided by Google Cloud. It offers a unified environment for building, deploying, and managing machine learning models and generative AI applications.