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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Machine Learning As A Service
  5. BigML vs GraphLab Create

BigML vs GraphLab Create

OverviewComparisonAlternatives

Overview

BigML
BigML
Stacks14
Followers29
Votes1
GraphLab Create
GraphLab Create
Stacks8
Followers40
Votes3

BigML vs GraphLab Create: What are the differences?

BigML: Machine Learning, made simple. Predictive analytics for big data and not-so-big data. BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services; GraphLab Create: Machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale. Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

BigML and GraphLab Create belong to "Machine Learning as a Service" category of the tech stack.

Some of the features offered by BigML are:

  • REST API
  • bindings in Pyton, Java, Ruby, node.js, C#, Clojure, PHP, and more
  • several algorithms, including categorical & regression decision trees, ensembles of trees (random decision forest), cluster analysis and more

On the other hand, GraphLab Create provides the following key features:

  • Analyze terabyte scale data at interactive speeds, on your desktop.
  • A Single platform for tabular data, graphs, text, and images.
  • State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.

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Detailed Comparison

BigML
BigML
GraphLab Create
GraphLab Create

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

REST API; bindings in Pyton, Java, Ruby, node.js, C#, Clojure, PHP, and more; several algorithms, including categorical & regression decision trees, ensembles of trees (random decision forest), cluster analysis and more; models are fully actionable -- translated into code that can be cut/paste for local utilization; PredictServer (and Amazon AMI) can be used for real-time or large batch predictions; models can be shared privately or publicly (for free or for a fee set by the developer)
Analyze terabyte scale data at interactive speeds, on your desktop.;A Single platform for tabular data, graphs, text, and images.;State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.;Run the same code on your laptop or in a distributed system, using a Hadoop Yarn or EC2 cluster.;Focus on tasks or machine learning with the flexible API.;Easily deploy data products in the cloud using Predictive Services.;Visualize data for exploration and production monitoring.
Statistics
Stacks
14
Stacks
8
Followers
29
Followers
40
Votes
1
Votes
3
Pros & Cons
Pros
  • 1
    Ease of use, great REST API and ML workflow automation
Pros
  • 1
    Intelligent Function Defaults
  • 1
    Fast Data Summary
  • 1
    Simple Machine Learning Tools

What are some alternatives to BigML, GraphLab Create?

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

Sportlingo

Sportlingo

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

AI Video Generator

AI Video Generator

Create AI videos at 60¢ each - 50% cheaper than Veo3, faster than HeyGen. Get 200 free credits, no subscription required. PayPal supported. Start in under 2 minutes.

SAM 3D

SAM 3D

Explore SAM 3D to reconstruct 3D objects, people and scenes from a single image. Build 3D assets faster with SAM 3D Objects and SAM 3D Body.

Image to Video AI: Easy AI Image Animator Online

Image to Video AI: Easy AI Image Animator Online

Instantly transform any static image into a dynamic, engaging video with our AI image animator. Create stunning animations, moving photos, and captivating visual stories in seconds. No editing skills required.

Free AI Pet Portrait Generator

Free AI Pet Portrait Generator

Help artist transform pet photos into stunning artwork in seconds. Create royal portraits, oil paintings, cartoon styles & more. No prompts needed, just upload and generate beautiful AI pet portraits.

Vexub

Vexub

Create high-quality videos in seconds with Vexub’s AI generator, turning your text or audio into ready-to-publish content for TikTok, YouTube Shorts, and other short-form platforms

Tinker

Tinker

Is a training API for researchers and developers.

Amazon SageMaker

Amazon SageMaker

A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

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