Alteryx Reviews

• Data acquisition, accessing all types of data services no matter the format, vendor or platform, I can connect, read and process the data.

• Data blending and descriptive, creating consolidated data sets, such as joins, unions, summarize, and all basic and advanced data manipulation tasks. 

• Advanced analytics, like predictive and prescriptive analysis, which are very good tools. 
• Preparation

It involves reading multiple data sources, in different formats, reshaping and blending them together to answer business questions. We generate models for predictions and optimization.

Alteryx speeds up the time to obtain business answers/insights on data. It can quickly process huge amounts of data. It allows you to have your business prepare their own data sets, and it can even be used by IT people. The speed of processing is impressive to get something in minutes that would normally take you a couple of days or weeks.

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 codeless concept and speed of processing are unique. Super intuitive to use and easy to master. No coder needed.
• I did not find a data source that I could not connect to yet.
• In/out, preparation, blending, parsing, and transformation tools are the fundamental ones to start analysis.
• Spatial operations and analytics are super powerful for analysis which requires these types of models/operations. 

Even when it already includes some AI models, this area could be improved.

Another area which could be improved is the visualizations. It would be great to create the final users' visualization within Alteryx.

Finally, the UI does not reflects the amazing tool Alteryx is.

Three to five years.

It is absolutely stable. It has not crashed. It takes seconds to process huge amounts of data without too many resources on the machine.

There are no scalability issues. It is enterprise ready, and can multiple your processing power.

It is one of the most complete and great customer service that I experienced with a software company/ecosystem.

The customer support is fast, complete and proficient. The partner ecosystem is extensive, and all have a couple of very advanced resources to provide support.

Finally, Alteryx has an online community (Check it out at http://community.alteryx.com ), with a lot of people willing to help users.

I used several ETL tools, but none had the scope of Alteryx nor the ability to perform the analysis itself.

The initial setup was very straightforward using a wizard.

Next, Next, Next, OK process. Super easy, intuitive, and problem-free.

Both vendor team and in-house. In all cases, it was a straightforward experience. The vendor was very proficient and Alteryx always had our backs.

ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less.

Opt for the three year subscription. It is 20% less than the yearly one.

It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).

I evaluated Datawatch and QlikView. 

Datawatch: Performance was not great and it was not so straightforward to implement.

Download the trial and test it. You will be amazed. It is the complete package for people who work with data.

Most important criteria when selecting a vendor: 

• Provide a good product.
• Have good support.
• Needs a clear vision of the future with a very solid roadmap.

We primarily use the solution for data processing and ETL.

Overall, I'd have to say the tool is pretty awesome.

The solution offers very good data transformation.

Users are able to read in from any source, combine heterogeneous sources, and providing output or input to the next downstream step. You can put these things together or you can create very complex or simple flows and then tie them together. 

The scheduling within the solution is excellent. 

The initial setup is straightforward.

I can't recall a feature that may be lacking. Overall, we've been happy with the solution.

It's a technical product and those that don't have proper training will have to deal with a steep learning curve.

I've been using the solution for over five years now. It's been a while.

The solution is reliable and quite durable. We haven't dealt with bugs or glitches. It doesn't crash or freeze. It's very stable. We're happy with it.

The solution scales quite well. If a company needs to expand it, it should be able to do so easily.

We don't deal with technical support often. We typically have had other people to do that for us within our organization. That said, the support has been there to accommodate us in terms of the different and pretty stiff information security policies and standards. We're mostly satisfied with the level of service.

The initial setup is not complex at all. We found it easy. It was straightforward. 

I don't handle the licensing aspect of the product. I can say that we have to have an enterprise license. Currently and periodically that gets challenged and they try to take it away and we honestly have a hard time finding a tool that could replace it. Therefore, we wind up keeping it. It's happened several times.

We're a corporate user and end-user of the product. 

While I don't know the version number off the top of my head, I can say with certainty that we are using the latest one.

The solution is going to be best for technical users or people that have hands-on experience with data such as data scientists or people that can be creative and deal with multiple different databases and different permutations in the structured query language right across those different databases. 

It's fairly standard, however, not completely, and so, people in that realm tend to be able to function well, people that are analysts may struggle and have a bit of a learning curve that they have to deal with. I've been doing this throughout the information life cycle - about 35 years plus. Therefore, for me, it's my second nature. Others that haven't been exposed to technology over that timeframe may struggle.

I'd rate the solution ten out of ten.

The solution is used for data ETL.

The most valuable feature of Alteryx is its performance. It is a powerful solution.

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 have been using Alteryx for approximately four years.

I rate the stability of Alteryx a ten out of ten.

We have three people using the solution in my organization. We plan to increase our usage, we only will have to purchase more licenses.

I rate the scalability of Alteryx a nine out of ten.

I have not used the support. There is a helpful online community where we can search for answers to our questions.

I previously used other solutions but they were not as good as Alteryx. We switched because of the scalability, ease of use, community, and workflow.

The initial setup of Alteryx is not difficult.

I rate the initial setup of Alteryx a nine out of ten.

The license price of the solution is expensive.

I rate the price of Alteryx a nine out of ten.

This is one of the best tools for ETL. It has a lot of capabilities. I would advise others to explore the solution. There is a free certification that is offered.

I rate Alteryx a nine out of ten.

The solution is good for data transformation from the web and office.

Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx.

They can provide some pre-built tools for predictive analytics instead of us having to build all the tools.

It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently.

I have been using this solution for more than six years.

I have done a lot of work on Alteryx and deployed it on client servers, and Alteryx is a highly scalable solution in my opinion.

It is mostly used by the analytics team, which includes analyst associates and project leaders. The consulting team also uses it pretty often. We would like to increase its usage because it is a pretty good software to work with.

I believe their technical support is pretty great. I mostly use the Alteryx community, which is really helpful. It is maintained by Alteryx people.

I used SQL previously, but it was not very good for quick and dirty analysis. So, I switched to Alteryx.

It is straightforward. It is on the cloud, but the major functions that we have are on the desktop itself. The cloud solution is good for client deployments.

My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive.

I would rate Alteryx a nine out of ten.

We have many use cases for this solution.

For example, we used it for data prep and blending as well as machine learning. We built customer 360, have used it for labor optimization, and demand forecasting.

Alteryx has made us more agile and increased the speed and effectiveness of decision making.

All of the features are valuable to us.

The data prep and blending are great but so is the machine learning functionality.

We used spatial analysis, which is a good feature.

The server is too expensive for what you get and it is really a designer desktop on a server. It is not worth the money.

We have been using Alteryx for four years.

It is fairly stable and we have had no major issues.

With respect to scalability, it is rather good at handling large data sets.

Grazitti Interactive is very responsive and very helpful.

We did not use another solution prior to this one.

The initial setup is very easy.

We used Grazitti Interative. They are excellent!

We did not calculate a specific ROI.

The server pricing is high.

We did not evaluate other options before choosing Alteryx.

We primarily use the solution for all machine learning projects, including perspective molding. We're using it for our marketing efforts.

It keeps on upgrading, which is nice. It's always updating with new releases.

A majority of people at our organization like the drag and drop features.

The database is very good.

Overall, the solution as a whole is extremely useful.

The initial setup is easy.

The security on the solution is pretty good.

It has a very nice dashboard.

There are a lot of good customization capabilities.

With some of the features in the database, they don't offer certain things, like Keynote or transposing. I'm not sure, if, with the latest update, they've added these capabilities in or not.

The solution can be quite complex in some aspects.

For some specific coders, it's still is a kind of concern that they don't have coding options available. We're moving to Dataiku due to the fact that it caters to both coders and clickers (those who prefer drag and drop).

I'd say I've been working with the solution for two to three years now. I've been using Alteryx for all my data scientist projects.

The solution, for the most part, is pretty stable. We don't seem to have too many issues with it.

The solution can scale to some extent.

We have about 200 to 300 users on the solution currently.

While the community support offered by the solution is great, if you need to directly contact technical support, it's not so good. Often there are long queues and it takes a while to get help.

I've been using Alteryx for all my data scientist projects up until recently. However, now I'm shifting to Dataiku, which my organization is offering instead.

The initial setup is not too complex. It's pretty straightforward. We found it to be rather easy. However, there are certain implementations that can be a little more complex.

We handled the implementation ourselves in-house.

I'm not sure of the exact cost of the solution. It's not an aspect of the product I deal with directly.

We're just a customer. We don't have a business relationship with Alteryx.

I haven't updated to the latest version yet. I'm unsure which version of the solution I'm currently using.

We are, as an organization, shifting and moving away from the solution. We are now going to utilize a new tool that is being selected. Due to some complexities in Alteryx, we are moving away from it.

Overall, I'd rate it seven out of ten. It has a lot going for it, however, we need a solution that's less complex and offers more coding capabilities.

It is mostly used for data validation rules. For example, for many legacy systems files, we check whether the count in one file is matching the logic that we have in another file. If it doesn't, then we fill that particular data load. The ultimate destination for that is a database, but to avoid data mismatch or the garbaging of data because someone didn't put files in a proper format, we are doing the validation with Alteryx. So, it's basically for data cleaning and removing some line characters from the data in the files so that there are no data issues while using SQL Loader.

I haven't worked much with Alteryx because my primary work is in Informatica. I work with it only when I don't have any option or it is too tedious to work in Informatica for a particular file or schedule a load. For example, if the load will fail in Informatica, or it will not allow the rest of the stream to continue, I use Alteryx. In Alteryx, I have that option. I can have a dedicated flow that will run for that particular file. For my 100% ETL work, 10% work is in Alteryx, and 90% is in Informatica. So, I haven't explored it much, but whenever any requirement comes, I work on it. So far, I was able to utilize it for whatever I need. Everything I needed was already there.

It has everything that one needs. Whatever you want to do with the data can be done with Alteryx. However, we haven't implemented it on a large scale because we don't have a physical server. We have a virtual server for this, and there are limitations to that. So, we use it for smaller data chunks, not bigger data volumes. It is mostly for files, not for databases.

There is a community for Alteryx, but it is so spread out. For example, if I face an issue with Informatica, I have Informatica forums that keep on adding to that. They have a very cohesive structure when it comes to the issues and their error messages. They are very easy to use for Informatica issues, but in the case of Alteryx, the information is too spread out, and it is difficult to find the answer to a particular issue that someone faces. If Alteryx can organize its forum and the issues in a better way, it will be easy for developers.

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. With Informatica, we can use hints and other things and they directly hit the database, but with Alteryx, that is not the case. So, when it comes to database connectivity, the performance is not as good as a flat file as a source.

I have been using Alteryx for around 10 months. 

It never crashed in the last 10 months.

I assume it would be scalable without any issues. Most of my work has been related to files without any databases or other connectors. 

We have more than 5,000 people using it. This is a free tool across our organization. So, everyone uses it in case they want.

I only installed Studio on my laptop. The server was installed way before I joined. So, I can't comment on that, but the Studio setup was easy. It was almost like Tableau.

It has Excel and diagram functionalities. So, not much technical knowledge is required to use it. If you are aware of both or have Tableau and Excel experience, then you are good to go.

I would rate it a seven out of ten.

We are using Alteryx mostly for mission learning, forecasting, and predictive modeling use cases.

Alteryx has improved our organization because it provides an easy way to build machine learning models as well as to do citizen data science work.

The most valuable feature of Alteryx is the intelligence suite. 

Alteryx can improve the model management and deployment processing of large workloads.

In a future release, there should be more cloud integration with GCP. The ability to connect to GCP components as well as deploy things on the cloud would be beneficial.

I have been using Alteryx for approximately four years.

Alteryx is stable.

We have found Alteryx scalable in our usage, when we increase users we will see how it can adjust.

We have approximately 100 people using this solution in my organization. The users are from different departments, such as financial analysts, data scientists, and data analysts. We are using the solution extensively and plan to keep using it.

Alteryx support is good.

I rate the support from Alteryx a four out of five.

I have not used other solutions in the same category in the company I work for.

The initial setup of Alteryx was straightforward. The full deployment took approximately three days to a week.

We did the implementation of Alteryx in-house. We have three to five people for the maintenance and deployment of the solution.

To my knowledge, we haven't quantified, the return on investment, but we have seen a return on investment.

My advice to others is that the solution has a lot of room for expansion and they should get going on a couple of use cases, even if they are small automation use cases, and then build from there. You can always build in machine learning and more sophisticated use cases as you go along.

I rate Alteryx an eight out of ten.