Alteryx Reviews

My main use case for Alteryx is to automate quite a few ETL workloads, and Alteryx provides a great platform in bringing those data integration aspects. We have been using Alteryx as a self-service data and self-usability data integration tool as well.

A quick specific example of an ETL workload I automated with Alteryx is the recent automation of the PDX and patient care systems data coming out from some legacy ecosystems that are built in-house through Alteryx. This was a modernization aspect wherein we created a brand new ETL workplace and workflow, which got rid of Informatica and then brought Alteryx in that place in order to modernize the entire framework.

My main use case with Alteryx also includes working on another area where we are trying to bring in quite a few telemetry information as well. This has been a core centralization tool. The data we are bringing is from a diversified set of applications and sources, which includes several cloud sources such as Azure, as well as on-premise sources such as Salesforce and the information that we are getting from ServiceNow and SAP as well.

The positive impact Alteryx has had on our organization includes our ability to automate quite a few complex ETL or data integrations, reducing coding by around 75 to 80 percent. By utilizing the features of Alteryx, we have eliminated very complex and lengthy codes previously needed for data transformations. Now, using Alteryx's built-in features, we achieve this seamlessly, and getting additional features such as built-in AI and spatial analytics has been particularly helpful in automating many workflows that we previously managed manually.

The impact on my team after switching to Alteryx includes significant time savings and an improvement in ROI. After implementing Alteryx, we calculate our ROI to be more than 25 to 30 percent. From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars, which is a significant benefit from implementing Alteryx.

The best features Alteryx offers include quite a lot of areas. Typically, some of these core areas include the drag-and-drop data preparations that we are getting here. We also get the Generative AI and LLM integrations. Automated reporting is another area where it provides built-in dynamic dashboards which can be created for generating insights. Being from an analytics background, I benefit from the spatial and advanced analytical features provided by Alteryx, which perform location-based mapping, logistic optimizations, and predictive and machine learning algorithms. I find seamless data blending, which easily combines disparate data sets from spreadsheets, clouds, various applications, and APIs as well.

From a Generative AI perspective, we are using it for quite a few documentation purposes related to the data. We have also integrated quite a few of this prompt engineering in order to define the workflows. From an organizational perspective, we heavily rely on OpenAI. The integration that Alteryx provides securely connects to OpenAI, where we are running our massive data sets along with PDX and patient care systems integrations. From a data preparations point of view, using the drag-and-drop features, we utilized over 50 automated tools to clean and transform the structured data without complex scripting, which got rid of quite a few messy scripts.

Alteryx integrates very well with other tools and platforms in our environment such as ServiceNow, SAP, and Salesforce. We have a large number of applications defined using those platforms, and we haven't experienced major issues integrating them with Alteryx. There are built-in APIs and connectors provided by Alteryx that facilitate seamless connections, and we rarely see production outages, maintaining an SLA of more than 99.999 percent. The integrations don't require much time and are very seamless.

One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements.

Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data.

The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me.

We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.

Alteryx is a tool I started using back in 2014, so it has been quite a few years now. It has been more than 10 to 12 years.

We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.

Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data.

Customer support from Alteryx has been amazing. I would rate it a perfect 10 out of 10.

We were using Informatica before adopting Alteryx.

The switch from Informatica to Alteryx was primarily based on usability, cost, and features. We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.

The ease of learning and adopting Alteryx by my team has been quite friendly. Alteryx provides various resources including its own library and documents. It relies more on tools than on coding, making it pretty much easy for my team to learn and implement simultaneously. Learning has been a very positive experience so far.

The ease of learning and adopting Alteryx by my team has been quite friendly. Alteryx provides various resources including its own library and documents. It relies more on tools than on coding, making it pretty much easy for my team to learn and implement simultaneously. Learning has been a very positive experience so far.

The impact on my team after switching to Alteryx includes significant time savings and an improvement in ROI. After implementing Alteryx, we calculate our ROI to be more than 25 to 30 percent. From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars, which is a significant benefit from implementing Alteryx.

From a pricing perspective, Alteryx is quite price-effective compared to other ETL tools we've used. We began with a starter edition and have now moved to an enterprise edition. We have add-ons that provide advanced capabilities such as server deployment and specialized integrations. Currently, we're working on an enterprise contract and liaising with the enterprise sales team, also evaluating various use cases with cost-saving factors in mind. We now hold about 30 user licenses as we transitioned into the enterprise edition.

The switch from Informatica to Alteryx was primarily based on usability, cost, and features. We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.

Prior to choosing Alteryx, we evaluated other options such as DataStage, Databricks, Integrate.io, Pentaho, and Talend, but ultimately selected Alteryx from that pool of tools.

For those looking into using Alteryx, I advise that if you want to automate and bring in AI-powered data integration workflows, Alteryx can be a good product. It supports a wide range of easily integrated data sets and offers built-in custom APIs for legacy applications. From a pricing perspective, it is very cost-effective, especially for designing workflows from scratch using built-in tools. This makes large-scale data transformations much more manageable.

Alteryx is doing an amazing job of providing world-class integration tools and enhancing digital features on AI-powered workflows. I would like to see further improvisations in future releases and platform upgrades that Alteryx is regularly undertaking. I would rate this review a 9 out of 10.

Alteryx's main use case is its no-code capability, allowing me to build complex data pipelines using a drag-and-drop interface. If I can draw a flowchart, I can use Alteryx, which provides massive time-saving. Tasks that take a week in SQL or manual Excel work can often be automated in Alteryx.

I primarily use Alteryx for data preparation, cleansing, and transformation. For example, I use it for removing duplicates, handling missing values, formatting data and numbers, and joining multiple datasets in my daily work.

Regarding my main use case for Alteryx, I am using it primarily for time-saving.

Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.

In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data.

Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.

Alteryx can be improved in a few areas. First, pricing flexibility can be better, especially for small teams and organizations. The current licensing cost can be a barrier for wider adoption. Second, there are performance issues; optimizing for very large datasets can be improved. When working with high-volume data, workflows sometimes require additional tuning. Third, stronger cloud-native capabilities and cloud integration can be enhanced to help organizations move away from on-premises setups.

I have been working in my current field for more than five years.

Alteryx is quite stable.

Alteryx is scalable for most enterprise analytics and data preparation workloads. It handles multiple workflows and users reliably when deployed on appropriate infrastructure. Scalability mainly depends on hardware resources such as CPU and memory for very large datasets or high concurrency. Proper capacity planning and workflow optimization by users are required. Overall, it scales very well for departmental and enterprise use cases.

The customer support for Alteryx is better.

Positive

I previously used Automation Anywhere because it is unable to handle a large amount of data, which is why I switched to Alteryx.

I have seen a return on investment from using Alteryx. It has delivered a strong return on investment for my organization by significantly reducing manual effort in data preparation, reporting, and analytics. Tasks that earlier took hours in Excel or SQL are now completed in minutes. This results in time-saving, improved data accuracy, and better productivity. Despite the higher licensing cost, the overall business value and efficiency gain justify the investment.

My experience with pricing, setup cost, and licensing indicates that licensing is much costlier. The ongoing cost is very high, which means it is all about checking by my manager because the pricing is a sensitive matter. He did not communicate the details with me, but as of now, to my knowledge, the price is very high, with licensing typically starting around five thousand dollars plus user per year. This often prices out a small setup.

I evaluated other options before choosing Alteryx, looking from a price perspective. If any product has a lower price and better results, then I will look for that.

My advice for others looking into using Alteryx is that for time-saving, it is the main purpose for any tool. If they use it to save time, they can use Alteryx. It is quite low-code, so anyone can use it with just drag and drop and minimal logic without managing heavy coding. I would rate this product nine out of ten.

In my organization, I am creating workflows in Alteryx, so I am using this tool for creating the workflows as my organization is using this.

We usually use Alteryx for big workflows; our data is stored in different tables, and we combine those tables into one tool to create a workflow and generate one output, such as a daily report that we format and apply conditional formatting to before generating the report. With this report, we can also create dashboards, and Alteryx allows us to create TWBX and Excel files, making it a very useful tool for complex data processing through simple drag and drop.

What I appreciate the most about Alteryx is that while we could also create similar workflows in Tableau, every change in Tableau requires deployment from a different team, but with Alteryx, everything is dependent on us, allowing us to create manually and send files without impacting outputs whenever changes are made. The speed is also very good, especially when processing large datasets.

The benefits I have seen from using Alteryx include processing data much faster than previous methods, which took too long in Excel or other formats; Alteryx dramatically improves speed and accuracy, with many features that make data transportation easier, making it a standout tool for us.

I think Alteryx could be improved by providing features to directly send files to SharePoint, since in our large organization, much data is stored there, but currently, Alteryx does not support this capability.

The price is quite high, which is why there is a limitation on licenses, and not everyone has the right to use it, so if they could decrease the price, more people could use it easily.

I have been working with Alteryx for more than four years.

Regarding stability and reliability, Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10, as low specifications will hinder usage.

The scalability of Alteryx is good.

I utilize manuals and guidance provided by Alteryx; however, I have not read them fully as I learned from seniors, but they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.

Before using Alteryx, I used Excel and another tool called Quest for creating reports, which took more than one or two hours to generate just one report, but now with Alteryx, it takes just five minutes.

The initial setup process involved our organization purchasing Alteryx, providing us with a license key that we use to run Alteryx. The key is for one year and needs to be renewed annually, and we only need to enter the key along with our name to activate it. We also create a connection with ODBC for setup between Alteryx and SQL.

I found the initial setup straightforward without any challenges, requiring just the activation key to get it working.

I participated in the initial setup and deployment of Alteryx.

I am not aware of the pricing and licensing specifics of Alteryx, but I know it is very expensive.

I did not evaluate other options or vendors before choosing Alteryx.

I believe Alteryx is a strong solution because it is easy to understand and use, allowing us to teach anyone; the speed is another excellent feature since my organization handles complex and massive datasets, so using Alteryx has proven to be one of the best options available for processing big data effectively. I would rate this solution an eight out of ten.

I have been using Alteryx myself and it has also been used more broadly by my company.

Approximately, about 30 people are using Alteryx in my company.

I have been pretty satisfied with Alteryx's data blending feature as it is quite easy to use as a non-code platform. One of its benefits is that it's a drag-and-drop system. Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.

The way Alteryx's automation capabilities have contributed to my organization's workflow efficiency depends very much on the project we work on.

A potential drawback is that tracking changes and using Git with Alteryx is not very easy. If there are multiple analysts working on a specific file, whereas with code you can easily see where changes are, Alteryx being a soft code platform makes it quite hard to track changes through Git.

The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API. These might be features that already exist and I'm not fully familiar with, but the API integration is currently a bit clunky.

The disadvantages that made me think about switching from Alteryx include the version control and collaboration issues previously mentioned. In addition to that, the cost is a factor, so we're looking at solutions that are free to implement. Finally, we are looking at how we can better integrate within our own software solutions, which are all Python-based.

I have been working with Alteryx for two years.

In terms of performance, it depends on the size of the workflow that you're dealing with. It can be pretty slow on PC, but it depends.

I consider Alteryx as scalable.

I haven't received any support from Alteryx, so I can't speak much about their technical support.

I didn't need to contact Alteryx support. I have found that the training resources online are okay. They could be improved with more examples of use cases, but they are fit for purpose.

Neutral

Before Alteryx, I worked with either direct data transformations in Python or working through tools such as Power BI and the Power Query functions. In general, I think those tools perform similar functions even though there might be some differences. I generally had a better experience with those tools which come at a lower cost.

At the moment, we're looking at alternatives in general. We're looking at both Alteryx and the potential to move away from it, either just using in-house tools or any alternatives available that perform similar functions.

The potential options we are considering instead of Alteryx are not really well defined. We're still researching.

I am generally satisfied with Alteryx.

I'm not the best person to discuss the pricing of Alteryx, as I'm not involved with that.

The tools I tried to integrate Alteryx with are in-house tools and solutions, where I faced problems.

Based on my experience, I would not recommend Alteryx to others. I would encourage developing internal capabilities over using Alteryx as a solution.

My thoughts on the ease of use, interface, and implementation process of Alteryx are that it's easy to use for non-coders, but for anyone who has ever coded before, it's really frustrating to use. There is a balance as it is very easy to use, but there is also no way of easily streamlining workflows or reviewing them.

I'm not sure whether it was bought from the AWS marketplace.

I can't think of any specific examples of benefits at the moment.

On a scale of 1-10, I rate Alteryx a 6.

My current use case is using Alteryx for ETL, extraction, transformation and loading.

The features in Alteryx that I find most valuable are the connectors they have provided, which are really helpful for me, and I am able to connect to databases easily, so that is helpful.

The data blending feature does help improve my data preparation process.

Because I am using Gallery as well, I find that some of the processes we are running are able to be automated, so it is useful and simplifies my workflow.

The main benefits that Alteryx provides for me are that it is easier to use, I do not have to code anything, so it is a non-coding tool, and it saves my time in that aspect.

I cannot think of anything that needs improvement in Alteryx because it is working fine as expected, so I do not have any issues or feedback for it.

In my opinion, Alteryx does have a zone to do predictive analytics, but it is very limited, so they could focus more on that.

Predictive analytics is available, but it is available in a limited sense and it is not full-fledged. If I have to customize it or anything, it is difficult unless I edit the code, so I have to code it to make any changes to the algorithms that I am using, which would be helpful.

I have been working with Alteryx for close to seven years.

I have not noticed anything with the product itself, but with some of the connectors they have provided, there are some issues, so I would rate stability as an eight.

For scalability, I would rate it as a nine.

Technical support is not applicable for me as I have not reached out to Alteryx, so I do not know about their support.

Negative

My company had the licenses for Alteryx; I did not go and purchase anything.

The initial setup for Alteryx is simple; you just have to download and install it, so it is pretty straightforward, and anyone can do it.

Based on my experience, I would say the main competitor for Alteryx is Python, actual coding.

For me, it would always be Alteryx, but considering the licensing cost, if someone knows how to code in Python, that is preferred. However, for me, it would be Alteryx because it is already provided by the organization.

I do not focus on the integration with third-party vendors, and since my company takes care of all the licensing, I do not have to worry about the cost or budget in that aspect, so I really do not know and cannot comment on the costing model.

Alteryx indeed saves my time.

I would recommend Alteryx; if licensing has already been taken care of, it is a great product to use, but if you are worried about the cost, it is definitely high, as the costs are a bit high for Alteryx, so if Alteryx could reduce its cost or licensing to make it more affordable, it would be a great tool to use.

I would rate this product a nine out of ten.

I used it every day for most of my day, developing different applications and ECLs, and I loved it. My background is diverse, with a variety of roles in my career. I have written the old style of ETLs with SQL, whether it be advanced SQL code for Oracle or using different programming languages to process data. 

I stumbled on Alteryx when we were trying to build Tableau dashboards, and we were having difficulty loading them directly into Tableau. We needed something to preprocess the data for the dashboard. We were trying to process large datasets at US Bank, and that would help us with that preprocessing.

It offered quick development, with the ability to process large datasets. It was easy to work with because everything was graphical, resulting in a quick development cycle. The ease of testing and producing what we needed quickly was invaluable. Once we got it in-house, I knew its value. It was easy to work with, and the graphical nature made it simple. I could develop quickly and did so for seven or eight years on different projects.

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.

I used the solution for seven or eight years, roughly.

There were times when the product would fail during development, and I couldn't explain why.

We struggled with the licensing. Many did not want to pay the per seat license and preferred an enterprise license, which was difficult to negotiate with Alteryx.

The customer service was not good because we weren't premium support users. If we reached the right people, it worked, however, our tickets often lingered without priority support. 

Positive

Initially, we used SQL and other programming languages for data processing.

The setup was manageable. There was a learning curve initially, however, after six months, it became easy. It is different from traditional coding, so you have to retrain your brain.

We thought the setup cost was high as we were buying it per seat. It was somewhat in line with Tableau. Some were hesitant to pay $4000 per seat.

I looked at Tableau Dataprep and other options yet did not find any as good as Alteryx. Microsoft started developing Power BI, which impacted our decision-making.

Licensing negotiations were problematic, impacting our usage. I used to hold groups at the bank to discuss why I thought this product was good. It offers quick development and self-documentation. I would rate it a nine out of ten. It's a data blending tool that I personally found superior to others I've tried.

I had a couple of experiences using Alteryx and KNIME for simple database relations. It provides some reports, develops some flows, and of course, extracts reports. 

We do not have a native connector to SAP, however, I structured SAP ERP databases for basic tables from purchasing processes. I related these tables and made calculations. Due to the large number of rows, I converted files to a file type from Alteryx, speeding up the reading process from hours to seconds. During the flow, I saved the process and performed only the part not previously saved, processing thousands or millions of lines, and then built the output report with the required calculations. 

For the basic processes, it's fast, however, learning the syntax for calculations takes time.

The drag and drop and layout is simple to understand, with intuitive names of features. For example, to connect native connectors, usually, a fee is required for SAP connectors, however, the tool's flexibility in saving processes and using a vast amount of available memory has been extremely helpful.

I haven't had much experience with the tool, however, it could improve its documentation. It's something I need to understand better. The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.

I have used Alteryx for the last three months only.

I have not encountered any lagging, crashing, or instability in the system during these three months of usage. Alteryx uses the memory available on my machine efficiently, which has helped me a lot.

I haven't contacted technical support directly as we have a partner in Brazil who supports us with any doubts. Thus, I didn't have any issues with technical support.

Positive

I used KNIME and Power BI as alternatives. Power BI helped initially for smaller datasets. However, when expanding to large datasets, Power BI didn't suffice unless purchasing a premium license. Alteryx offers automated data flows and connections to cloud databases, which are beneficial.

The initial setup was straightforward, completed within a day.

The pricing seems high for my current needs. However, considering the benefits, it is easier to justify to management for broader company usage. It has a fair price when considering a larger-scale implementation.

I evaluated KNIME and Power BI.

I rate Alteryx as an eight out of ten. It's a great tool, however, the pricing can be high for just two or three users.

Positive

My primary use case for Alteryx is ETL more than analytics. I mainly use it for loading data from one server to another and loading files to databases. It is good for data integration. I find it very user-friendly compared to tools like Informatica PowerCenter. It allows me to easily create workflows and deploy them.

Alteryx has helped save costs compared to Informatica licenses. It's one of the primary reasons people are migrating to tools like Alteryx that can easily do the work of more costly popular tools. It has also made deploying new workflows quicker, taking only five to ten minutes to move to production.

Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter. The inbuilt functions are good, and it's useful for working with files. You can see the intermediate results in workflows, which is very helpful.

When configuring target tables, it is difficult to see the full text when deciding on load operations. Performance can be slow when updating existing records. Documentation could be improved for recurring issues.

I have been using Alteryx for one year, on and off.

There haven't been significant downtimes, and I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.

I have not contacted Alteryx customer service or technical support as I have been able to find solutions through available documentation and community support.

Positive

I previously used Informatica PowerCenter but find Alteryx more user-friendly. In PowerCenter, building workflows is more difficult compared to Alteryx.

My senior colleague is responsible for deployment. She is able to see everything clearly, including how workflows trigger and how logs work.

Alteryx provides cost savings compared to other solutions like Informatica when it comes to licensing.

Alteryx is more cost-effective compared to Informatica licenses, offering savings.

I was previously using Informatica PowerCenter, however, Alteryx offers good advantages, including extra analytics features.

Make sure to improve the documentation for recurring issues. Alteryx is somewhat user-friendly and easier to work with compared to Informatica PowerCenter.

I'd rate the solution eight out of ten.

I used Alteryx for a retail company's project. They wanted to generate quick results out of some analysis for their fast-moving products and manage customer profiles for starting campaigns only for these fast-moving items.

Alteryx enabled us to develop models and perform core Python coding, utilizing different approaches like the waterfall and agile frameworks. We sometimes use the SAFe agile framework.

I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful. This feature prevents the necessity to store data temporarily. 

The tool also provides functionality for dashboarding, report bursting, and handling multi-currency and multi-language situations. It helps in managing delivery for large teams.

It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me. It would help independent users manage projects for clients without facing high costs.

I have used Alteryx for about six months.

Alteryx is very stable. I rate it nine out of ten.

Alteryx is scalable, and I would give it eight out of ten.

I contacted customer support once or twice, and they were quick to respond. I would also rate them nine out of ten.

Positive

Different customers have different data tools like DataStage and Informatica. They also provide good data flow capabilities. Alteryx has a built-in robustness that I was very happy with.

I didn't set it up myself; there was a project manager who set up the whole thing.

Alteryx is expensive. It's beyond the budget of freelancers like me, even though companies usually purchase it for larger projects. There should be a desktop version available at a lower cost for freelancers.

I have used almost all the tools depending on the customer's technological inventory, such as DataStage and Informatica.

Alteryx is a futuristic tool. I recommend negotiating the price before using it. It's a stable tool, and I rate it eight out of ten.