Alteryx vs Dremio comparison

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Alteryx Logo
13,301 views|7,794 comparisons
Dremio Logo
2,693 views|2,048 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Alteryx and Dremio 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. Dremio Report (Updated: March 2024).
765,234 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
"The most valuable feature of Alteryx is its performance. It is a powerful solution.""The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners.""The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts.""The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources.""The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features.""The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy.""The filtering is fast, and it provides a search tool that is great.""The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."

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"We primarily use Dremio to create a data framework and a data queue.""Everyone uses Dremio in my company; some use it only for the analytics function.""The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.""Dremio allows querying the files I have on my block storage or object storage.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it."

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Cons
"There is currently no cloud solution and this would be valuable for many clients.""If there is any way to make the learning curve less steep, that would be ideal.""The formula we currently use in Alteryx can be automated.""The technical support could have a little bit of improvement.""It would be great to create the final users' visualization within Alteryx.""The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts.""I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing.""The next feature release should include easier reporting."

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"It shows errors sometimes.""They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement."

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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 →

  • "Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
  • "Dremio is less costly competitively to Snowflake or any other tool."
  • More Dremio 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:Dremio allows querying the files I have on my block storage or object storage.
    Top Answer:Every tool has a value based on its visualization, and the pricing is worth its value.
    Top Answer:Dremio's interface is good, but it has a few limitations. I cannot do a lot of things with ANSI SQL or basic SQL. I cannot use the recursive common table expression (CTE) in Dremio because the support… more »
    Ranking
    3rd
    Views
    13,301
    Comparisons
    7,794
    Reviews
    27
    Average Words per Review
    520
    Rating
    8.3
    8th
    Views
    2,693
    Comparisons
    2,048
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    Comparisons
    KNIME logo
    Compared 14% of the time.
    Databricks logo
    Compared 9% of the time.
    RapidMiner logo
    Compared 6% of the time.
    Qlik Sense logo
    Compared 5% of the time.
    Databricks logo
    Compared 39% of the time.
    Snowflake logo
    Compared 19% of the time.
    Starburst Enterprise logo
    Compared 13% of the time.
    Amazon Redshift logo
    Compared 4% of the time.
    Apache Hadoop logo
    Compared 1% of the time.
    Learn More
    Dremio
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    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





    Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.

    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    UBS, TransUnion, Quantium, Daimler, OVH
    Top Industries
    REVIEWERS
    Computer Software Company15%
    Manufacturing Company11%
    Financial Services Firm11%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Manufacturing Company10%
    Computer Software Company9%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise15%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Alteryx vs. Dremio
    March 2024
    Find out what your peers are saying about Alteryx vs. Dremio and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Dremio is ranked 8th in Data Science Platforms with 6 reviews. Alteryx is rated 8.4, while Dremio is rated 8.6. 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 Dremio writes "Quick database capabilities but sometimes shows minor errors". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Qlik Sense, whereas Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Apache Hadoop. See our Alteryx vs. Dremio 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.