Alteryx Reviews

ETL.

Fast data processing and cleaning.

Crosstab and transpose.

Add inbuilt interactive visualization in Alteryx.

It collects data and manipulation and some Geo-spacial mapping.

It provides opportunities to do some pretty complex tasks easily, without having to worry about the Java. The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy.

I think better visualization would be helpful. In terms of data extraction, during the sequel queries of servers as an example, you can structure your sequel query and it's fine, very readable, but once you run it, it crashes into one complex single line, and makes it very difficult. Then you you almost have to go back to management studio, and run it through management studio and put it through restructuring, and it just seems to me that that's not very user friendly.

It is a very stable solution.

For our purposes, the scalability is fine. But, I think that scaling it for a big enterprise would probably be an expensive endeavor.

I would rate the tech support a 7.5 out of 10.  They do not necessarily provide lots of hands on support themselves, instead they farm it out to partners and forums. 

The learning curve for implementation was a bit steep. You pretty much have to teach yourself as you are setting up the solution. Once you do that, you are OK.

It is a little bit pricey. The desktop version is cheaper, it is on a one year license. And, if you want to do anything on an enterprise name it is quite expensive. The current pricing model may get to be too much in three to four years time.

We also considered DataBricks.

I would advise that you should ask yourself what you need and want, and do a one-month trial.

I implemented Alteryx for a logistics company. 

It helps clean messy data and provides spatial analysis.

We create workflows to automate central reporting and visualize data directly in Tableau. 

We use Alteryx everyday. Using the product, we earn a lot of time, which is used to do other tasks.

Multicategories exist in Alteryx: These categories are flexible and answer a lot of controlling rules.

• Alteryx could be improved in the area of analytics and central governance. 
• The next feature release should include easier reporting. 
• Improvement in the coexistence of In-Database, Python and R tools.

• Data integration
• Automation
• Data analytics

It saves time on a lot projects.

The analytics are easy.

In the database, it should be more functional and connect to more big data, especially using IPI.

It handles multiple large data sources, and prepping/manipulating the feed to the Live dashboards for internal and external distribution.

It allows for manipulation and automation, which has greatly reduced the amount of time required per project.

Geo features have made spatial mapping large retail universes possible. The basic package of manipulation tools are the tools that my team use the most. It makes lengthy Excel processes seamless and lighting quick in comparison.

A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic. Also, when a process completes there is a notification, but the notification does not include the process's name.

We can now provide a single source of truth and build a bigger picture.

The data preparation. We have high reporting needs and the data is stored in many different tools. We are moving to predictive analysis too. Still, we need an easy to deploy solution until the IT department finds a better solution to connect all data sources.

The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user.

No stability issues.

No scalability issues, if it is accompanied with centralization or the organization has a strong top-down culture.

I would rate tech support five out of five. The team is willing to work with you and help with any difficulties.

We were using Oracle BI, and we are still using it. The value add of Alteryx is the agility for making changes, and speed of deployment.

The seat is too expensive.

I am using the desktop version. The only issue is it supports only a 64-bit system so I have to use an earlier version.

My advice to regarding this product is to keep learning and not rely too much on the support team.

• Faster delivery of projects
• Quick preparation of data for analysis
• Direct output to Tableau extract for visualization
• Significant productivity improvement

• Data blending
• Calculations
• Predictive models, which are easy to use, and help a lot with fast design and deployment.

Visualization.

No issues.

Not really.

• There is a very good and supported community. 
• Reasonable reaction time for the support.

Different ETL tools (SSIS, Talend). We switched for ease of use and a wide range of features.

Easy to install and intuitive to use.

Very transparent.

We worked with other ETL tools for a long time, Alteryx was chosen based on ease of use and value add.

Start small and prove the value for specific use cases.

• One-stop shop for data preparation, blending, prediction, and optimization in a single workflow.
• In-database analytics native to SQL Server, Oracle, Teradata, and SAP HANA
• Spatial tools for geographic analysis and data enrichment

We provided the whole consulting delivery on a single tool with reporting and automated PowerPoint presentations.

• GPU or multi-core CPU utilization
• WYSIWYG reporting with interactive filters and graphics
• Mobile integration: Triggers analytic apps through mobile phone and gets results interactively.
• More statistics tools: We can use to compare SPSS statistics with some automated advisory.

We have been using this solution since 2014.

There were no deployment issues, and it went pretty fast. You sometimes need a license file if you are behind a firewall.

When the workflows are huge and complex, it may take some time to refresh it.

There were no issues with scalability.

Customer service is pretty responsive, based on the UK and US time zones.

Technical support is pretty responsive and knowledgeable. The community support is exceptional, too. It is a very crowded community with lots of practical solutions.

• SPSS modeler: Not easy to prep features. It needs data enrichment using spatial features. Deployment is not straightforward.
• SAS Analytics, EG, EM, DataFlux forecasting: Very expensive solutions with steep learning curves
  

The setup was simple. It was pretty much "next, next, and next".

We did the implementation in-house.

With a $5K USD designer tool, we already did some big data. There were lots of fruitful projects. I would estimate a six of seven times ROI in a few months.

A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources.

The server is a big bet and you need at least 10-15 people with designers or 60-70 people for the continuous use of analytic apps. Otherwise, it's too early to scale up and out.

• KNIME: A modeling tool not easy to learn, track/audit, or deploy quickly.
• RapidMiner: Good analytics capabilities, deep learning. However, not good for ETL, data quality, or spatial enrichment.
• SAS: Extremely expensive, archaic, and no need to take the risk.
• SPSS modeler: Second best for modeling, but not enough spatial. It is hard to deploy and has a lack of vision.

This solution has a very bold vision.