Software Alternatives, Accelerators & Startups

AWS Fargate VS Dataiku

Compare AWS Fargate VS Dataiku and see what are their differences

AWS Fargate logo AWS Fargate

AWS Fargate is a compute engine for Amazon ECS and EKS that allows you to run containers without having to manage servers or clusters.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • AWS Fargate Landing page
    Landing page //
    2021-10-29
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

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

AWS Fargate videos

Deep Dive into AWS Fargate

More videos:

  • Tutorial - AWS Fargate Tutorial | AWS Tutorial For Beginners | AWS Certification Training | Edureka
  • Review - AWS Fargate - Running Dockerized Apps

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

Category Popularity

0-100% (relative to AWS Fargate and Dataiku)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Cloud Computing
100 100%
0% 0
Data Science Tools
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 AWS Fargate and Dataiku

AWS Fargate Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
For Container-as-a-Service (CaaS) Kubernetes alternatives, AWS Fargate is a great option. It is well-known for simplifying container management and deployment on AWS.
Source: humalect.com
Top 10 Best Container Software in 2022
Using AWS Fargate, you now don’t need to provision, configure, and scale cluster virtual machines to execute containers. This, in turn, eliminates the requirement to select server types, determine at what time to scale your clusters or optimize cluster packing.

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....

Social recommendations and mentions

Based on our record, AWS Fargate seems to be more popular. It has been mentiond 46 times 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.

AWS Fargate mentions (46)

  • A Brief History Of Serverless
    This model was so successful that we started to see others create competitors such as AWS Fargate and Azure Container Instances. - Source: dev.to / about 1 month ago
  • Event-Driven Architecture on AWS
    Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago
  • Lambda on hard mode: serverless HTTP in Rust
    I never had a case where cold starts mattered because either 1) it was the kind of service where cold starts intrinsically didnt matter, or 2) we generally had > 1 req/15mins meaning we always had something warm. 3) Also you can pay for provisioned capacity[1] if the cold start thing makes it worth the money, though also just look into fargate[2] if that's the case. [1]:... - Source: Hacker News / 3 months ago
  • Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)
    One great option in the serverless world for something like this is to run containers using AWS Fargate (https://aws.amazon.com/fargate/). Fargate is a service from AWS where you don't need to spin up or manage EC2 VMs to get access to compute. Also you don't need to pay for a container orchestration layer. You just provide a docker image and the specs of what you need to run it (cpu, ram, disk, etc) and AWS spins... - Source: dev.to / 5 months ago
  • Best Practices for Seamless EKS Cluster Upgrades with Fargate: A Hands-On Guide
    As cloud-native architectures evolve, managing Kubernetes clusters becomes pivotal for maintaining optimal performance and security. Amazon EKS, combined with Fargate for serverless pod execution, offers a powerful solution. In this guide, we'll delve into best practices for EKS cluster upgrades with Fargate, providing a hands-on approach to ensure a seamless transition. Let's embark on the journey of mastering... - Source: dev.to / 6 months ago
View more

Dataiku mentions (0)

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

What are some alternatives?

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

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

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

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

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

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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