Compare KNIME vs. Teradata Analytics

KNIME is ranked 1st in Data Mining with 10 reviews while Teradata Analytics is ranked 27th in Business Intelligence (BI) Tools with 2 reviews. KNIME is rated 8.2, while Teradata Analytics is rated 7.0. The top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". On the other hand, the top reviewer of Teradata Analytics writes "Streamlines formulating solutions based on SQL-like queries". KNIME is most compared with Alteryx, RapidMiner and Weka, whereas Teradata Analytics is most compared with Teradata Vantage, Tableau and SAS Enterprise Miner.
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KNIME Logo
Read 10 KNIME reviews.
22,954 views|17,868 comparisons
Teradata Analytics Logo
1,017 views|792 comparisons
Most Helpful Review
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: February 2020.
399,757 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
This open-source product can compete with category leaders in ELT software.This solution is easy to use and especially good at data preparation and wrapping.It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis.Clear view of the data at every step of ETL process enables changing the flow as needed.We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders.The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine.Easy to connect with every database: We use queries from SQL, Redshift, Oracle.

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nPath has made journey/path analysis much easier.It has been fantastic for running complete data sets (no sampling required).Provides ease of formulating a solution based on SQL-like queries.

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Cons
The ability to handle large amounts of data and performance in processing need to be improved.It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning.The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily.​The data visualization part is the area most in need of improvement.The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best.Data visualization needs improvement.

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I would like to see more/better documentation. They also need to enhance analytic/data science algorithms.We have struggled with uptime. Some of the features need to be updated.I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such.

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Pricing and Cost Advice
KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required.

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399,757 professionals have used our research since 2012.
Ranking
1st
out of 17 in Data Mining
Views
22,954
Comparisons
17,868
Reviews
10
Average Words per Review
352
Avg. Rating
8.2
Views
1,017
Comparisons
792
Reviews
2
Average Words per Review
251
Avg. Rating
7.0
Top Comparisons
Compared 42% of the time.
Compared 13% of the time.
Compared 7% of the time.
Compared 13% of the time.
Also Known As
KNIME Analytics PlatformTeradata Aster Analytics, Aster Analytics
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Knime
Teradata
Overview
KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.

Teradata Aster® Analytics Portfolio provides a suite of ready-to-use, multi-genre advanced analytics functions that empowers business users to uncover and operationalize non-intuitive insights. Teradata Aster Analytics includes the Aster Database, Aster Client and the Aster Portfolio that consists of SQL, SQL-MapReduce and Graph functions for multi-genre advanced analytics. These functions provide everything from data acquisition and preparation to analytic modeling and visualization.

Offer
Learn more about KNIME
Learn more about Teradata Analytics
Sample Customers
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Information Not Available
Top Industries
VISITORS READING REVIEWS
Software R&D Company25%
Comms Service Provider17%
Financial Services Firm9%
Manufacturing Company7%
No Data Available
Company Size
REVIEWERS
Small Business21%
Midsize Enterprise36%
Large Enterprise43%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise1%
Large Enterprise81%
No Data Available
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: February 2020.
399,757 professionals have used our research since 2012.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.