What users are saying about
32 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 7.8 out of 100
26 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 8.8 out of 100

Likelihood to Recommend

KNIME Analytics Platform

If you have a team of engineers or data scientists who do not like to code, KNIME can be a good platform to build quick and dirty pipelines. However if you are moving away from R&D to deployment, KNIME lacks the scalability compared to Python or R itself. When deploying, you can choose to output json or use their native front end from KNIME Server, but KNIME Server is not free.
Ivan Cui | TrustRadius Reviewer

Mathematica

Mathematica is very useful in calculus problem. It deals greatly with mathematical operations such as differentiation, integration, matrix multiplication and so on. Simple data analysis is very easy using Mathematica. Mathematica has great functions for plotting and charting the data.It has some good features included in Machine Learning model. But there are many functions that can be included in Mathematica for better improvements. So, Machine Learning and Artificial Intelligence will be easier in Mathematica.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

KNIME Analytics Platform
7.4
Mathematica
Connect to Multiple Data Sources
KNIME Analytics Platform
8.5
Mathematica
Extend Existing Data Sources
KNIME Analytics Platform
7.2
Mathematica
Automatic Data Format Detection
KNIME Analytics Platform
7.8
Mathematica
MDM Integration
KNIME Analytics Platform
6.0
Mathematica

Data Exploration

KNIME Analytics Platform
5.3
Mathematica
Visualization
KNIME Analytics Platform
5.0
Mathematica
Interactive Data Analysis
KNIME Analytics Platform
5.6
Mathematica

Data Preparation

KNIME Analytics Platform
6.1
Mathematica
Interactive Data Cleaning and Enrichment
KNIME Analytics Platform
7.0
Mathematica
Data Transformations
KNIME Analytics Platform
7.0
Mathematica
Data Encryption
KNIME Analytics Platform
4.7
Mathematica
Built-in Processors
KNIME Analytics Platform
5.9
Mathematica

Platform Data Modeling

KNIME Analytics Platform
5.6
Mathematica
Multiple Model Development Languages and Tools
KNIME Analytics Platform
6.5
Mathematica
Automated Machine Learning
KNIME Analytics Platform
4.5
Mathematica
Single platform for multiple model development
KNIME Analytics Platform
5.7
Mathematica
Self-Service Model Delivery
KNIME Analytics Platform
5.9
Mathematica

Model Deployment

KNIME Analytics Platform
5.2
Mathematica
Flexible Model Publishing Options
KNIME Analytics Platform
5.6
Mathematica
Security, Governance, and Cost Controls
KNIME Analytics Platform
4.7
Mathematica

BI Standard Reporting

KNIME Analytics Platform
Mathematica
7.3
Pixel Perfect reports
KNIME Analytics Platform
Mathematica
6.6
Customizable dashboards
KNIME Analytics Platform
Mathematica
7.5
Report Formatting Templates
KNIME Analytics Platform
Mathematica
7.6

Ad-hoc Reporting

KNIME Analytics Platform
Mathematica
8.0
Drill-down analysis
KNIME Analytics Platform
Mathematica
8.0
Formatting capabilities
KNIME Analytics Platform
Mathematica
8.3
Integration with R or other statistical packages
KNIME Analytics Platform
Mathematica
8.8
Report sharing and collaboration
KNIME Analytics Platform
Mathematica
6.7

Report Output and Scheduling

KNIME Analytics Platform
Mathematica
7.3
Publish to Web
KNIME Analytics Platform
Mathematica
8.2
Publish to PDF
KNIME Analytics Platform
Mathematica
8.2
Report Versioning
KNIME Analytics Platform
Mathematica
6.9
Report Delivery Scheduling
KNIME Analytics Platform
Mathematica
6.7
Delivery to Remote Servers
KNIME Analytics Platform
Mathematica
6.3

Data Discovery and Visualization

KNIME Analytics Platform
Mathematica
8.4
Pre-built visualization formats (heatmaps, scatter plots etc.)
KNIME Analytics Platform
Mathematica
8.3
Location Analytics / Geographic Visualization
KNIME Analytics Platform
Mathematica
8.4
Predictive Analytics
KNIME Analytics Platform
Mathematica
8.6

Pros

KNIME Analytics Platform

  • KNIME works better than most tools for ETL functions.
  • Easy to track the different steps
  • Easy to isolate and fix specific workflow steps.
Anonymous | TrustRadius Reviewer

Mathematica

  • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
  • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
  • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
Robert J. Lang | TrustRadius Reviewer

Cons

KNIME Analytics Platform

  • Visualization can be improved further though it has been better with new versions, with a lot of scope available. However, connectivity to Tableau somehow overcomes this. Also, skilled resources are difficult to find for KNIME, due to other solutions having better penetration.
  • Knowledge of R/Python is required to fully use the statistical analysis (rather than just data mining). Also, memory usage is a problematic issue sometimes.
  • Not enough domain usage experience can be shared between KNIME users as well.
Rohit Narang | TrustRadius Reviewer

Mathematica

  • Not a fault as such, but there are instances of simple problems where Wolfram Alpha can be used more easily instead.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

KNIME Analytics Platform

KNIME Analytics Platform 8.0
Based on 1 answer
I am happy with the product. It provides the required functionality.
Anonymous | TrustRadius Reviewer

Mathematica

No score
No answers yet
No answers on this topic

Usability

KNIME Analytics Platform

KNIME Analytics Platform 8.0
Based on 1 answer
It performs all the required functions.
Anonymous | TrustRadius Reviewer

Mathematica

No score
No answers yet
No answers on this topic

Support Rating

KNIME Analytics Platform

KNIME Analytics Platform 6.7
Based on 4 answers
Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.
Anonymous | TrustRadius Reviewer

Mathematica

Mathematica 8.1
Based on 3 answers
Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
Anonymous | TrustRadius Reviewer

Alternatives Considered

KNIME Analytics Platform

KNIME is a lower price point and has strong cross platform capabilities. Other platforms are locked to a specific operating system and cost in some cases substantially more, making them less good choices for smaller businesses that still need basic data unification. The fact that KNIME is OS-independent is a big positive.
Christopher Penn | TrustRadius Reviewer

Mathematica

We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models.Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
George Danner | TrustRadius Reviewer

Return on Investment

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 | TrustRadius Reviewer

Mathematica

  • Easy to solve huge mathematical equations, so it saved time there
  • Doing analysis and plotting graphs is also another plus point
  • Learning is very slow, and it took lot of time to learn its scripting language
Shalinee Singh | TrustRadius Reviewer

Pricing Details

KNIME Analytics Platform

General

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

Mathematica

General

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

Rating Summary

Likelihood to Recommend

KNIME Analytics Platform
7.8
Mathematica
8.7

Likelihood to Renew

KNIME Analytics Platform
8.0
Mathematica

Usability

KNIME Analytics Platform
8.0
Mathematica

Support Rating

KNIME Analytics Platform
6.7
Mathematica
8.1

Implementation Rating

KNIME Analytics Platform
8.0
Mathematica

Add comparison