What users are saying about
Top Rated
40 Ratings
Top Rated
40 Ratings
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Score 8.8 out of 101
20 Ratings
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Score 8.3 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

KNIME Analytics Platform

KNIME Analytics Platform is well suited as a training program for students from a variety of computation backgrounds. It integrates well many of the common chemical and biological programs and data files into one program that can then be used to process and sort large inventories.
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Feature Rating Comparison

Data Exploration

Anaconda
7.5
KNIME Analytics Platform
8.5
Visualization
Anaconda
7.0
KNIME Analytics Platform
9.0
Interactive Data Analysis
Anaconda
8.0
KNIME Analytics Platform
8.0

Data Preparation

Anaconda
7.0
KNIME Analytics Platform
7.5
Interactive Data Cleaning and Enrichment
Anaconda
7.0
KNIME Analytics Platform
7.0
Data Transformations
Anaconda
8.0
KNIME Analytics Platform
8.0
Data Encryption
Anaconda
6.0
KNIME Analytics Platform
7.0
Built-in Processors
Anaconda
7.0
KNIME Analytics Platform
8.0

Platform Data Modeling

Anaconda
5.7
KNIME Analytics Platform
Automated Machine Learning
Anaconda
4.0
KNIME Analytics Platform
Single platform for multiple model development
Anaconda
7.0
KNIME Analytics Platform
Self-Service Model Delivery
Anaconda
6.0
KNIME Analytics Platform

Model Deployment

Anaconda
4.5
KNIME Analytics Platform
Flexible Model Publishing Options
Anaconda
5.0
KNIME Analytics Platform
Security, Governance, and Cost Controls
Anaconda
4.0
KNIME Analytics Platform

Platform Connectivity

Anaconda
KNIME Analytics Platform
7.5
Connect to Multiple Data Sources
Anaconda
KNIME Analytics Platform
9.0
Extend Existing Data Sources
Anaconda
KNIME Analytics Platform
7.0
Automatic Data Format Detection
Anaconda
KNIME Analytics Platform
9.0
MDM Integration
Anaconda
KNIME Analytics Platform
5.0

Pros

  • Anaconda has iPython- Notebook that facilitates code writing in Python
  • It's very easy to install tour preferred the Python version
  • The risk of messing up the libraries is completely eliminated
Mauricio Quiroga-Pascal Ortega profile photo
  • Great UX interface, easy connection of data sources, good handling of the analytical model, easy to modify.
  • It provides good level of control of what happens with your data in each step.
  • Great tool from data preprocessing, from analysis to visualization.
  • Great community and a lot of modules to reuse.
  • Supports machine learning - it is easy to configure and run.
  • It is Open Source!
  • If you are familiar with Python, you can use this easy programming language to add additional functions to your analytical model.
Viktor Mulac profile photo

Cons

  • It's hard to get security updates when you leave the system packages
  • There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
  • Anaconda isn't as fast as PyPI publications
Mauricio Quiroga-Pascal Ortega profile photo
  • Automation - e.g. RapidMiner Studio provides a Turbo Prep function, where one can get to working on models more quickly (RapidMiner is not open source though)
  • KNIME does not replace a regular reporting tool - it is not meant to. However, if I have already spent some time developing a data acquisition and analytical model, it would be nice to be able to deploy, for example, a monitoring or reporting module that would process data autonomously and react accordingly.
Viktor Mulac profile photo

Alternatives Considered

Anaconda is way easier to set-up. On Anaconda we have users working on Machine Learning in minutes, where on PyCharm is takes a lot longer to set-up and often involves getting help from IT. PyCharm is easier to integrate with Code repositories (such as GitHub), so if that's very important to you, you might want to take a look at PyCharm
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KNIME provides visualisation capabilities and much more when compared to Tableau
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Return on Investment

  • Centralized repository for all notebooks and analysis projects.
  • Solved for some security concerns from IT.
  • Saves money by avoiding ad-hoc computer resources for analysts.
No photo available
  • Cannot comment on this aspect since it is used/preferred by the client
No photo available

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

KNIME Analytics Platform

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details