What users are saying about

Anaconda

Top Rated
33 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

KNIME Analytics Platform

16 Ratings
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Score 8.6 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is the best solution when you need to make more basic algorithm training. However, when the client necessity if completely new or there're poor libraries, anaconda is too basic.When designing algorithms, I find ai-one to be very useful. Other tools that more suitable than Anaconda for more complex tasks are protege, biffblue and Nervana Neon
Mauricio Quiroga-Pascal Ortega 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

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

Data Exploration

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

Data Preparation

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

Pros

  • The most useful thing is the Jupyter notebook that Anaconda has inside the platform. You can use your browser to manage them and launch everything from your file system.
  • Anaconda exists for Python 2 and Python 3. So, you can use it despite which Python you use.
  • It's very easy to install, and it's multiplatform (Windows, OS X, Linux).
  • Friendly manage of Python packages.
Alejandro Daniel Copati 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 still a little buggy. Especially the launcher.
  • It's not always easy to set up. It's not exactly difficult: a Google search away for most things, but silly stuff like path names, installing custom fonts and colors. That kind of thing.
Ayush Choukse 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 the best Python environment because you have all the things you need all in one places, at the reach of your hand. You can download and manage libraries as you wish and is very easy to create new projects and API's for all your stuff.It's Multiplatform so you don't have to take care to use your stuff in another computer. I think it is the best characteristic.
Alejandro Daniel Copati profile photo
  • KNIME is open source and thus brings the price advantage, compared to RapidMiner.
  • RapidMiner uses some WOW features such as turbo prep function, good for quick small tasks.
  • Both tools are excellent in data preparation and processing.
  • RapidMiner is a bit easier to install and setup.
  • Both tools are not strong on security around the framework, which can become important when dealing with confidential data.
  • Both tools are for ad/hoc analysis and report creation. It would be useful to be able to generate a self-standing monitoring module, that evaluates data according to sophisticated rules and "does something" when the tool finds a value out of boundaries or above a certain threshold.
Viktor Mulac profile photo

Return on Investment

  • I am using the Opensource
SURA SREENIVASULU profile photo
  • Lowest TCO compared to other tools
  • Accelerates analysis - the analysts can dedicate more time to analysis itself, not to data preparation
Viktor Mulac profile photo

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