Alteryx Reviews

Name: Alteryx
Brand: Alteryx
Rating: 4.2 (81 reviews)

Vendor: Alteryx

4.2 out of 5

81 reviews
89% willing to recommend

2,187 followers

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What is Alteryx?

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.

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Alteryx is the #1 ranked solution in top Predictive Analytics solutions, #1 ranked solution in top Data Preparation Tools, and #5 ranked solution in top Data Science Platforms. PeerSpot users give Alteryx an average rating of 8.4 out of 10. Alteryx is most commonly compared to SAP Analytics Cloud: Alteryx vs SAP Analytics Cloud. Alteryx is popular among the large enterprise segment, accounting for 75% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 24% of all views.

Helped 831,997 peers since 2012

Featured reviews

Theresa McLaughlin

Senior Capacity Planner at a financial services firm with 10,001+ employees

There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.

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NagendraVuppala

Tax Manager at RSM

I don't see a huge downside. Because if there is a strong leader with some good architecture knowledge, they should be able to cut down most of the downsides. However, there are a few limitations. For example, if you just leave the workflows to the developer, they may not properly document or organize the workflows. And then, if they're not organized, it's very difficult for another person to pick them up. Another downside is that two professionals can't work on one workflow at the same time. Let's say I have a huge workflow, and someone needs to support it. All I can do is virtually connect and share my screen, or I have to be with them together to look at the workflow and make updates. So the downsides are very few. But if you're more organized and have a dedicated architecture for your own solution, that will reduce a lot of downsides. But there are a few minor problems. For example, we can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative. And then, recently, I came across one biggest downside. There's something called the Download Tool, which is used to push datasets over an API. If you have API credentials, you can configure them in this Download Tool. But I noticed that this Download Tool has a limited capacity. That means it can only push, like, X amount of values or X amount of strings, but it cannot push a huge amount of dataset. For that, I have to deal with the Python port again. So, that's a bigger downside, which I recently came across. In future releases, I would like to see Alteryx improve the connectors. Since Alteryx is a low-code platform and even our developers might not have extensive coding knowledge. If there's a possibility to enhance the connectors, it would be truly valuable. By connectors, I mean that I have come across some instances where these connectors incorporate a sort of programming language that could augment Alteryx's capabilities. This way, we could utilize these connectors instead of having to create a separate solution. For instance, if I intend to extract or transmit data from SFTP to Alteryx, it would be beneficial to have a pre-developed connector accessible within the community. Take the Power BI connector, for example. It's important for this connector to be consistently maintained. I'm aware that these types of connectors are already accessible within the community, but there are instances when they function as intended and times when they do not. Would it be possible to have a centralized repository where these connectors are regularly updated to align with the most recent versions? This would indeed be highly advantageous. I understand that it entails a significant amount of maintenance work. Nonetheless, given that Alteryx operates as a low-code platform and we frequently encounter a variety of challenges, we aim to minimize the need to engage additional resources such as Python or Java developers. Relying on such external dependencies can introduce complexities. Therefore, if Alteryx could introduce more connectors of this nature, it would be a substantial improvement. APIs and connectors play a pivotal role. In particular, we have numerous scenarios where I had to leverage APIs and SSEPs.

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Vivek Vaibhav

Manager at Bain & Company

There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx. Since most of our team members work with Alteryx, deploying workflows to clients who may not have licenses became a hurdle. Every user needed a license to run the workflows, which could pose difficulties, especially for clients who only needed occasional access for small data analyses. Unlike other software like Microsoft Power BI, which offers free trials or user licenses for basic functionality, Alteryx doesn't provide such options, potentially limiting its accessibility for occasional users. It should improve scalability.

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Alteryx mindshare

Product category:

As of January 2025, the mindshare of Alteryx in the Predictive Analytics category stands at 23.6%, down from 26.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Predictive Analytics

PeerAnalyst reports

Type	Title	Date
Category	Predictive Analytics	Jan 31, 2025	Download
Product	Reviews, tips, and advice from real users	Jan 31, 2025	Download
Comparison	Alteryx vs SAP Analytics Cloud	Jan 31, 2025	Download
Comparison	Alteryx vs RapidMiner	Jan 31, 2025	Download
Comparison	Alteryx vs Anaplan	Jan 31, 2025	Download

Title	Rating	Mindshare	Recommending
SAP Analytics Cloud	4.0	15.6%	91%	69 interviews Add to research
Anaplan	4.0	19.1%	96%	27 interviews Add to research

Valuable Features

Alteryx is praised for intuitive drag-and-drop functionality, eliminating the need for coding. Its data blending capabilities and integration with Tableau are highly valued. Users appreciate its data preparation, predictive analytics, and machine learning features. Alteryx's connectivity, speed, and user-friendly interface stand out, allowing easy automation and workflow creation. Its ability to handle large datasets efficiently and the no-code analytics capability appeals significantly. The customization and flexibility in connecting diverse data sources are also notable strengths.

"Once we got it in-house, I knew its value."
"It offered quick development, with the ability to process large datasets."
"I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful."

Room for Improvement

Alteryx users highlight limitations in visualization, stating improvements are needed to match competitors' BI tools. Functional challenges include usability issues, particularly for non-technical users, and high pricing. Users also point to a steep learning curve, less intuitive UI, and complex workflow management. Integration is problematic due to limited connectors and functionality in cloud environments. Users express a need for better documentation and expanded machine learning capabilities, as well as more flexible licensing options.

"Licensing negotiations were problematic, affecting our product usage."
"There were times when the product would fail during development without an apparent reason."
"It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me."

ROI

Many users report significant ROI with Alteryx, noting substantial time savings and efficiency improvements. Investment often pays off within months, with automation dramatically reducing manual effort. While some have not calculated exact figures, positive returns are frequently observed. Some see room for cost adjustments based on currency variations, and the licensing cost compares favorably to competitors. Alteryx is appreciated for enabling faster data processing and reducing market entry times.

Pricing

Alteryx's pricing is considered high, with the Alteryx Designer license costing around $5,200 to $6,000 annually. Organizations typically start with a 14-day trial to assess needs. Larger enterprises benefit from multi-license packages, reducing per-license costs slightly, with options for server capabilities starting at about $13,000 yearly. While some appreciate the ROI and functionality, especially for analytics tasks, others find it prohibitive, prompting a need to justify costs for broader business use.

"Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs."
"If one is a high price, and ten is a low price, I rate the tool's price as a one. The tool is expensive."
"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."

Popular Use Cases

Alteryx users connect to diverse data sources, execute data transformation, and perform tasks such as blending, predictive and advanced analytics, and integrating various datasets. Common uses include ETL processes, machine learning, data cleansing, spatial analysis, automation, reporting, and dashboard creation. They particularly focus on preparing and analyzing data for business intelligence, improving operational efficiency, and enhancing customer insights. Alteryx aids in managing data from multiple systems, ensuring seamless integration and compliance.

Service and Support

Alteryx support is often praised for responsiveness, expertise, and community resources. Users appreciate the community's wealth of practical solutions. While many have minimal direct interaction with technical support, they report quick response times and helpful assistance when contacted. Some note potential improvements, suggesting more hands-on and streamlined support processes. Multiple sources highlight the importance of access to premium support for enhanced priorities, but many rely on internal or partner-supported troubleshooting.

Deployment

Users found Alteryx's initial setup to be straightforward, with many describing it as easy, intuitive, and quick. Most reported completing the setup in under an hour, often using a simple "next, next, next" process. Although some mentioned a learning curve, especially for deployment in larger organizations, the overall process was not complex. Several highlighted that deployment could be managed by a small team without needing extensive technical expertise.

Scalability

Alteryx is regarded as a scalable option, with many experiencing smooth expansion when increasing users and handling large datasets. It efficiently supports diverse roles and multiple departments. Some note high costs can impact scalability for enterprises, requiring additional hardware for optimal performance. A few users report challenges with license management, yet many find it capable of scaling effectively across global operations. Users rate the scalability positively, highlighting its adaptability and versatility.

Stability

Alteryx is generally considered highly stable by users, capable of processing large datasets without crashes or glitches. Performance is reliable, even on standard laptops. Users appreciate its consistency; however, server stability is occasionally noted as less reliable compared to the desktop version. Some reports mention minor issues with specific data formats, though these are infrequent. Many rate its stability between 8 to 10, praising its efficiency and speed, especially in comparison to competitors.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Alteryx Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

24%

Manufacturing Company

10%

Computer Software Company

Healthcare Company

Retailer

University

Insurance Company

Government

Energy/Utilities Company

Educational Organization

Real Estate/Law Firm

Construction Company

Pharma/Biotech Company

Wholesaler/Distributor

Non Profit

Media Company

Comms Service Provider

Transportation Company

Legal Firm

Performing Arts

Logistics Company

Hospitality Company

Marketing Services Firm

Consumer Goods Company

Outsourcing Company

Recreational Facilities/Services Company

Compare Alteryx with alternative products

Learn more about Alteryx

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