Software Alternatives, Accelerators & Startups

Algorithmia VS QlikSense

Compare Algorithmia VS QlikSense and see what are their differences

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

QlikSense logo QlikSense

A business discovery platform that delivers self-service business intelligence capabilities
  • Algorithmia Landing page
    Landing page //
    2023-09-14
  • QlikSense Landing page
    Landing page //
    2022-08-02

Algorithmia

$ Details
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Diego Oppenheimer
Employees
10 - 19

Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

QlikSense videos

No QlikSense videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Algorithmia and QlikSense)
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Business Intelligence
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Algorithmia seems to be more popular. It has been mentiond 5 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.

Algorithmia mentions (5)

QlikSense mentions (0)

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

What are some alternatives?

When comparing Algorithmia and QlikSense, you can also consider the following products

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

MCenter - Machine Learning Operationalization

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.