Alteryx vs Amazon SageMaker comparison

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Alteryx Logo
11,770 views|6,911 comparisons
88% willing to recommend
Amazon Web Services (AWS) Logo
10,980 views|8,670 comparisons
84% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Alteryx and Amazon SageMaker based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Alteryx vs. Amazon SageMaker Report (Updated: May 2024).
787,033 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 allows for manipulation and automation, which has greatly reduced the amount of time required per project.""The scheduling feature for the automation is excellent.""Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better.""Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.""The most valuable feature of Alteryx is user-friendliness.""This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components.""All of the data science features in terms of unioning and joining data together are valuable.""It is a stable and scalable solution."

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"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides.""The deployment is very good, where you only need to press a few buttons.""The most valuable feature of Amazon SageMaker for me is the model deployment service.""We've had no problems with SageMaker's stability.""The product aggregates everything we need to build and deploy machine learning models in one place.""The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework.""Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker.""The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."

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Cons
"It would be great to create the final users' visualization within Alteryx.""In the database, it should be more functional and connect to more big data, especially using IPI.""The solution could work on the BI side of the tool to make it a bit better.""It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting.""The next feature release should include easier reporting.""There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high.""I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica.""The price of the solution could improve by being lower."

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"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful.""The solution is complex to use.""I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker.""Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process.""I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.""The documentation must be made clearer and more user-friendly.""The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

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Pricing and Cost Advice
  • "A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
  • "​Very transparent.​"
  • "The seat is too expensive."
  • "It can be a bit pricey, especially after the first year."
  • "The pricing is $5000 per year per production license."
  • "We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
  • "There are some implementation services and internal effort costs at the beginning but there is nothing else."
  • "The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
  • More Alteryx Pricing and Cost Advice →

  • "The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."
  • "The support costs are 10% of the Amazon fees and it comes by default."
  • "SageMaker is worth the money for our use case."
  • "Databricks solution is less costly than Amazon SageMaker."
  • "I would rate the solution's price a ten out of ten since it is very high."
  • "There is no license required for the solution since you can use it on demand."
  • "I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."
  • "You don't pay for Sagemaker. You only pay for the compute instances in your storage."
  • More Amazon SageMaker Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
    Top Answer:Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this It can handle over 2 billion rows of… more »
    Top Answer:I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. -… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for… more »
    Ranking
    3rd
    Views
    11,770
    Comparisons
    6,911
    Reviews
    25
    Average Words per Review
    496
    Rating
    8.2
    5th
    Views
    10,980
    Comparisons
    8,670
    Reviews
    12
    Average Words per Review
    538
    Rating
    7.3
    Comparisons
    KNIME logo
    Compared 14% of the time.
    Dataiku logo
    Compared 9% of the time.
    Databricks logo
    Compared 8% of the time.
    RapidMiner logo
    Compared 7% of the time.
    Tableau logo
    Compared 5% of the time.
    Also Known As
    AWS SageMaker, SageMaker
    Learn More
    Overview

    Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

    With Alteryx You Can:

    • Prep, blend, and analyze data
    • Deliver faster, better business outcomes
    • Automate analytics and data science
    • Embed intelligent decisioning
    • Deploy and share analytics in hours

    Alteryx Features Include:

    Some of the most valuable Alteryx features include:

    Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

    Alteryx Can Be Used For:

    • Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.

    • Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
    • API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.

    • Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.

    • Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).

    • Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

    Alteryx Benefits

    Some of the benefits of using Alteryx include
    :

    • Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.

    • Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.

    • Excellent workflow compatibility.

    • Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.

    • Fast data loading: Alteryx has tools that make it very effective when working with big data sets.

    • No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.

    • Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

    Reviews from Real Users

    "Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

    "Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

    "The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

    "The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

    “A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

    "There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company





    Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    Top Industries
    REVIEWERS
    Computer Software Company15%
    Manufacturing Company11%
    Financial Services Firm11%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Manufacturing Company10%
    Computer Software Company9%
    Retailer6%
    REVIEWERS
    Computer Software Company20%
    University20%
    Manufacturing Company10%
    Logistics Company10%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Educational Organization13%
    Computer Software Company11%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise15%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    REVIEWERS
    Small Business14%
    Midsize Enterprise38%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise18%
    Large Enterprise68%
    Buyer's Guide
    Alteryx vs. Amazon SageMaker
    May 2024
    Find out what your peers are saying about Alteryx vs. Amazon SageMaker and other solutions. Updated: May 2024.
    787,033 professionals have used our research since 2012.

    Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews. Alteryx is rated 8.4, while Amazon SageMaker is rated 7.4. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". Alteryx is most compared with KNIME, Dataiku, Databricks, RapidMiner and Tableau, whereas Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Dataiku. See our Alteryx vs. Amazon SageMaker report.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms 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.