What users are saying about
50 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.6 out of 101
24 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.3 out of 101

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

If you are searching for a tool with a low total cost of ownership (TCO), that is easy to understand, and that comprises many prepared modules, KNIME is great. The tool is very intuitive with a lot of examples to learn. You can find a bit better tools, like RapidMiner Studio, but this is a paid, commercial solution. Yes, you can get a free RapidMiner license to process up to 50,000 lines of data, but this is not sufficient for serious work. Most of my use cases today require a bigger license, so KNIME is an attractive alternative price-wise.
Viktor Mulac profile photo

Feature Rating Comparison

Platform Connectivity

Anaconda
7.0
KNIME Analytics Platform
7.5
Connect to Multiple Data Sources
Anaconda
10.0
KNIME Analytics Platform
8.5
Extend Existing Data Sources
Anaconda
8.0
KNIME Analytics Platform
7.0
Automatic Data Format Detection
Anaconda
3.0
KNIME Analytics Platform
8.5
MDM Integration
Anaconda
KNIME Analytics Platform
6.0

Data Exploration

Anaconda
7.5
KNIME Analytics Platform
7.2
Visualization
Anaconda
8.0
KNIME Analytics Platform
7.0
Interactive Data Analysis
Anaconda
7.0
KNIME Analytics Platform
7.5

Data Preparation

Anaconda
7.5
KNIME Analytics Platform
7.2
Interactive Data Cleaning and Enrichment
Anaconda
8.0
KNIME Analytics Platform
7.0
Data Transformations
Anaconda
9.0
KNIME Analytics Platform
7.0
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
8.1
KNIME Analytics Platform
8.0
Multiple Model Development Languages and Tools
Anaconda
10.0
KNIME Analytics Platform
9.0
Automated Machine Learning
Anaconda
6.5
KNIME Analytics Platform
8.0
Single platform for multiple model development
Anaconda
8.5
KNIME Analytics Platform
8.0
Self-Service Model Delivery
Anaconda
7.5
KNIME Analytics Platform
7.0

Model Deployment

Anaconda
6.5
KNIME Analytics Platform
7.0
Flexible Model Publishing Options
Anaconda
7.0
KNIME Analytics Platform
8.0
Security, Governance, and Cost Controls
Anaconda
6.0
KNIME Analytics Platform
6.0

Pros

Anaconda

  • Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
  • Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
  • Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.
Matthew Deakyne profile photo

KNIME Analytics Platform

  • 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

Anaconda

  • Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
  • Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
  • Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
  • If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.
No photo available

KNIME Analytics Platform

  • 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

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne profile photo

KNIME Analytics Platform

No score
No answers yet
No answers on this topic

Usability

Anaconda

Anaconda 8.0
Based on 1 answer
It's really good at installing and getting started. It's less usable and configurable after that. If you stay in the ecosystem, and don't know how to Python any other way - it works really well.
Matthew Deakyne profile photo

KNIME Analytics Platform

No score
No answers yet
No answers on this topic

Alternatives Considered

Anaconda

Other systems might be easier to set-up but Anaconda is a fairly flexible analytics toolkit. It can be configured in a way that truly matches the way in which your business or analytics department works. Built on top of lots of open source projects so things aren't siloed and you can avoid vendor lock-in.
No photo available

KNIME Analytics Platform

  • 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

Anaconda

  • Extremely quick turnaround time to set up data science experiments
  • Reduction of troubleshooting time when deploying new packages and dependencies
  • Low risk environment due to the community edition
Daniel Blazquez profile photo

KNIME Analytics Platform

  • 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

KNIME Analytics Platform

General

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

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