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Compare Aginity vs BigML

Aginity - Machine Learning Software
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BigML - New SaaS Software
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Overview

Description

Aginity is machine learning software for core financial analytics. The products harvest insights from highly complex data sources including market, reference, and social exposures. ... Read More

BigML is an advanced machine learning platform that makes it incredibly simple to access powerful algorithms and predictive models, quickly and easily. Our cloud and on-premises service is ... Read More

Entry Level Pricing
  • Starts from $150
  • Starts from $1,000 , Billed Monthly
Free Trial Availability
  • No free trial
User Ratings

3.9

(12)

4.7

(44)
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Software Demo

Demo

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Features

Total Features

0 Features

6 Features

Unique Features

No features

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    Pricing

    Pricing Option
        Starting From
        • $150
        • $1,000 , Billed Monthly
        Pricing Plans
        • Not Available
        • Free

          • Total tasks and storage: Unlimited

          • Max. dataset size: 16 MB per task

          • Max. parallel tasks: 2

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        • Standard

          • Total tasks and storage: Unlimited

          • Max. dataset size: 64 MB per task

          • Max. parallel tasks: 2

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        • BigML Lite NEW

          • 5 users

          • 1 organization

          • BigML standard theme

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        • Browse all pricing plans

        Other Details

        Organization Types supported
        • Small Business
        • Freelancers
        • Large Enterprises
        • Medium Business
        • Individuals
        • Small Business
        • Freelancers
        • Large Enterprises
        • Medium Business
        • Individuals
        Platforms Supported
        • Installed - Windows
        • Browser Based (Cloud)
        • Mobile - iOS
        • Mobile - Android
        • Mobile - Windows
        • Installed - Mac
        • Mobile - BlackBerry
        • Browser Based (Cloud)
        • Installed - Windows
        • Browser Based (Cloud)
        • Mobile - iOS
        • Mobile - Android
        • Mobile - Windows
        • Installed - Mac
        • Mobile - BlackBerry
        • Browser Based (Cloud)
        Modes of support
        • 24/7 (Live rep)
        • Business Hours
        • Online
        • 24/7 (Live rep)
        • Business Hours
        • Online
        API Support
        • Available
        • Available
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        User Reviews

        User Ratings
        Rating Distribution

        Excellent

        22

        Very Good

        14

        Good

        0

        Poor

        0

        Terible

        0

        Excellent

        30

        Very Good

        0

        Good

        0

        Poor

        0

        Terible

        0

        Positive Reviews

        No reviews available for the product

        No reviews available for the product

        Media and Screenshots

        Screenshots
        Aginity screenshot

        2 Screenshots

        Dashboard

        3 Screenshots

        Videos
        video-0

        3 Videos

        video-0

        3 Videos

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        Frequently Asked Questions (FAQs)

        Stuck on something? We're here to help with all the questions and answers in one place.

        Aginity offers Free Trial, but BigML does not.

        Aginity is designed for Freelancers, Large Enterprises, Medium Business and Small Business.

        BigML is designed for Large Enterprises, Medium Business and Small Business.

        Pricing for Aginity Starts at $150/User/Year whereas for BigML Starts at $1,000 when Billed Monthly.

        Some top alternatives to Aginity includes ManageEngine Analytics Plus, IBM Cognos Analytics, Acho, Iteratively, SAS Advanced Analytics, Oracle Data Mining, MindsDB, TigerGraph, BigML and Databricks.

        Some top alternatives to BigML includes SAS Advanced Analytics, Qualified, Workvivo, Backprop, Neuro, BasicAI, Google Cloud AutoML, Azure Machine Learning Studio, Inferrd, ScoopML and Machine Box.

        Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].