Compare KNIME vs. Teradata Analytics

KNIME is ranked 2nd in Data Mining with 9 reviews while Teradata Analytics is ranked 28th in Business Intelligence (BI) Tools with 2 reviews. KNIME is rated 8.6, while Teradata Analytics is rated 7.0. The top reviewer of KNIME writes "Our average record size was around 10 million records. If we have bigger data, we can opt for a Big Data extension for Hadoop, Spark, etc". 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, SAS Enterprise Miner and KNIME.
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KNIME Logo
20,247 views|15,789 comparisons
Teradata Analytics Logo
841 views|635 comparisons
Most Helpful Review
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: August 2019.
366,486 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
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.We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server.

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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
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.I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something.I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports.

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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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366,486 professionals have used our research since 2012.
Ranking
2nd
out of 16 in Data Mining
Views
20,247
Comparisons
15,789
Reviews
9
Average Words per Review
357
Avg. Rating
8.6
Views
841
Comparisons
635
Reviews
2
Average Words per Review
248
Avg. Rating
7.0
Top Comparisons
Compared 40% of the time.
Compared 14% of the time.
Compared 8% of the time.
Compared 10% 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
Comms Service Provider19%
Financial Services Firm12%
Software R&D Company11%
Manufacturing Company9%
No Data Available
Company Size
REVIEWERS
Small Business20%
Midsize Enterprise30%
Large Enterprise50%
VISITORS READING REVIEWS
Small Business14%
Midsize Enterprise2%
Large Enterprise84%
No Data Available
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: August 2019.
366,486 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.
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