We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The product's Macros probably are one of the most useful aspects."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"The modeling features are very good."
"Technical support is very helpful."
"There are a lot of good customization capabilities."
"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."
"The scheduling within the solution is excellent."
"It's super easy to learn how to use it — the learning curve is very small."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"The integration with Python and the notebooks really helps."
"It's great technology."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Ability to work collaboratively without having to worry about the infrastructure."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"The most valuable feature is the ability to use SQL directly with Databricks."
"Lacks an open source edition which would be helpful."
"It would be great if Alteryx could take third party tools and incorporate them."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"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."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"There are no ready models to use in analytics."
"I honestly can't think of anything that needs to be improved."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"It's not easy to use, and they need a better UI."
"There are no direct connectors — they are very limited."
"The integration features could be more interesting, more involved."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"A lot of people are required to manage this solution."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."
"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
"There is a license required for this solution."
"The pricing is $5000 per year per production license."
"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)."
"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"The pricing depends on the usage itself."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The solution requires a subscription."
"There are different versions."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.
Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.
Alteryx is ranked 1st in Data Science Platforms with 29 reviews while Databricks is ranked 2nd in Data Science Platforms with 25 reviews. Alteryx is rated 8.2, while Databricks is rated 8.0. The top reviewer of Alteryx writes "Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes". On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Alteryx is most compared with KNIME, Dataiku Data Science Studio, SAS Enterprise Guide, RapidMiner and Microsoft BI, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Dataiku Data Science Studio and Dremio. See our Alteryx vs. Databricks 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.