KNIME vs SAS Enterprise Miner vs TIBCO Statistica comparison

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Knime Logo
10,966 views|7,554 comparisons
93% willing to recommend
SAS Logo
1,063 views|874 comparisons
93% willing to recommend
TIBCO Logo
651 views|481 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between KNIME, SAS Enterprise Miner, and TIBCO Statistica based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
769,662 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It is a stable solution...It is a scalable solution.""It has allowed us to easily implement advanced analytics into various processes.""There are a lot of connectors available in KNIME.""Overall KNIME serves its purpose and does a good job.""One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it.""It's a huge tool with machine learning features as well.""It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea.""Easy to use, stable, and powerful."

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"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.""The solution is able to handle quite large amounts of data beautifully.""The setup is straightforward. Deployment doesn't take more than 30 minutes.""The technical support is very good.""The most valuable feature is the decision tree creation.""Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.""he solution is scalable.""The solution is very good for data mining or any mining issues."

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"One of the best features of TIBCO Statistica is its block-based solution building."

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Cons
"I've had some problems integrating KNIME with other solutions.""The documentation needs a proper rework. ​""In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations.""Both RapidMiner and KNIME should be made easier to use in the field of deep learning.""​The data visualization part is the area most in need of improvement.""The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data.""In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them.""There should be better documentation and the steps should be easier."

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"The visualization of the models is not very attractive, so the graphics should be improved.""The product must provide better integration with cloud-native technologies.""While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""The user interface of the solution needs improvement. It needs to be more visual.""The initial setup is challenging if doing it for the first time.""The solution is much more complex than other options.""The ease of use can be improved. When you are new it seems a bit complex."

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"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."

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Pricing and Cost Advice
  • "It is free of cost. It is GNU licensed."
  • "KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
  • "KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
  • "The price of KNIME is quite reasonable and the designer tool can be used free of charge."
  • "It's an open-source solution."
  • "The price for Knime is okay."
  • "At this time, I am using the free version of Knime."
  • "This is an open-source solution that is free to use."
  • More KNIME Pricing and Cost Advice →

  • "This solution is for large corporations because not everybody can afford it."
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "The solution must improve its licensing models."
  • More SAS Enterprise Miner Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Since KNIME is a no-code platform, it is easy to work with.
    Top Answer:We're using the free academic license just locally. I went for KNIME because they have a free academic license. And to… more »
    Top Answer:KNIME is not good at visualization. I would like to see NLQ (Natural language query) and automated visualizations added… more »
    Top Answer:I like the way the product visually shows the data pipeline.
    Top Answer:The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a… more »
    Top Answer:The product must provide better integration with cloud-native technologies.
    Top Answer:One of the best features of TIBCO Statistica is its block-based solution building.
    Top Answer:TIBCO Statistica offers a basic desktop certificate at a reasonable cost. However, the more advanced options, like… more »
    Top Answer:TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing… more »
    Ranking
    4th
    Views
    10,966
    Comparisons
    7,554
    Reviews
    21
    Average Words per Review
    501
    Rating
    7.9
    16th
    Views
    1,063
    Comparisons
    874
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    17th
    Views
    651
    Comparisons
    481
    Reviews
    1
    Average Words per Review
    284
    Rating
    8.0
    Comparisons
    Also Known As
    KNIME Analytics Platform
    Enterprise Miner
    Quest Statistica, Dell Statistica
    Learn More
    Overview

    KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available. 

    KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.

    KNIME Features

    KNIME has many valuable key features. Some of the most useful ones include:

    • Scalability through data handling (intelligent automatic caching of data in the background while maximizing throughput performance)
    • High extensibility via a well-defined API for plugin extensions
    • Intuitive user interface
    • Import/export of workflows
    • Parallel execution on multi-core systems
    • Command line version for "headless" batch executions
    • Activity dashboard
    • Reporting & statistics
    • Third-party integrations
    • Workflow management
    • Local automation
    • Metanode linking
    • Tool blending
    • Big Data extensions

    KNIME Benefits

    There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:

    • Integrated Deployment: KNIME’s integrated deployment moves both the selected model, and the entire data model preparation process into production simply and automatically, allowing for continuous optimization in production and also saving time because it eliminates error.
    • Elastic and Hybrid Execution: KNIME’s elastic and hybrid executions helps you reduce costs while covering periods of high demand, dynamically.
    • Metadata Mapping: KNIME enables complete metadata mapping of all aspects of your workflow. In addition, KNIME offers blueprint workflows for documenting the nodes, data sources, and libraries used, as well as runtime information.
    • Guided Analytics: KNIME’s guided analytics applications can be customized based on reusable components.
    • Powerful analytics, local automation, and workflow difference: KNIME uses advanced predictive and machine learning algorithms to provide you with the analytics you need. In combination with powerful analytics, KNIME’s automation capabilities and workflow difference prepare your organization with the tools you need to make better business decisions.
    • Supports enterprise-wide data science practices: The deployment and management functionalities of KNIME make it easy to productionize data science applications and services, and deliver usable, reliable, and reproducible insights for the business.
    • Helps you leverage insights gained from your data: Using KNIME ensures the data science process immediately reflects changing requirements or new insights.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.

    An Emeritus Professor at a university says, “It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional. It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.”

    Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”

    Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”

    SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
    TIBCO Statistica is a flexible analytics system, which allows users to: create analytic workflows that are packaged and published to business users, explore interactively and visualize problems and create and deploy statistical, predictive, data mining, machine learning, forecasting, optimization, and text analytic models. TIBCO Statistica advanced analytics and data science platform helps you to Embed Analytics Everywhere. TIBCO Statistica capabilities: Predictive Analytics, Provide broad access and data preparation everywhere, including for databases, cloud, and Apache Hadoop sources. Native Distributed Analytical Architecture (NDAA), Real-time Big-data Answers, Security and governance and Statistica works with R, Python, Scala scripts in-database or at the edge.
    Sample Customers
    Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Danske Bank
    Top Industries
    REVIEWERS
    University25%
    Comms Service Provider17%
    Retailer14%
    Government8%
    VISITORS READING REVIEWS
    Manufacturing Company12%
    Financial Services Firm11%
    Computer Software Company9%
    Educational Organization8%
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University13%
    Educational Organization9%
    Insurance Company7%
    VISITORS READING REVIEWS
    University17%
    Educational Organization17%
    Comms Service Provider7%
    Hospitality Company6%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise26%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise14%
    Large Enterprise67%
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise16%
    Large Enterprise65%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,662 professionals have used our research since 2012.