The Alteryx AI Platform gives organization automated data preparation, AI-powered analytics, and machine learning with embedded governance and security. Its self-service functionality, with self-service data prep, machine learning, and AI-generated insights, gives enterprise teams with a simplified user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Alteryx Designer can be used to automate every analytics step…
$14,850
per year 3 users (minimum), cloud edition
Informatica PowerCenter (legacy)
Score 9.2 out of 10
N/A
Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.
N/A
Tableau Prep
Score 7.0 out of 10
N/A
Tableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation simple, and integration with the Tableau analytical workflow allows for faster speed to insight. Tableau Prep allows users to connect to data on-premises or in the cloud, whether it’s a database or a…
$15
per month billed annually per user
Pricing
Alteryx Platform
Informatica PowerCenter (legacy)
Tableau Prep
Editions & Modules
Designer Desktop
starting at $5,195
per year per user
Designer Cloud Professional Edition
Starting at $4,950
per year per user (minimum of 3 users)
No answers on this topic
Viewer
$15
per month billed annually per user
Explorer
$42
per month billed annually per user
Creator
$70
per month billed annually per user
Offerings
Pricing Offerings
Alteryx Platform
Informatica PowerCenter (legacy)
Tableau Prep
Free Trial
Yes
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
Yes
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Alteryx Platform
Informatica PowerCenter (legacy)
Tableau Prep
Considered Multiple Products
Alteryx Platform
Verified User
Contributor
Chose Alteryx Platform
They are like Alteryx, but they are not Alteryx. KNIME is free but facing and causes more confusion. Tableau Prep can do some work but [is] not as powerful as Alteryx, and Prep is not free.
Tableau Prep and Data Guru (Coupa product) are mainly useful in the data prep and blend space. This is useful, but Alteryx provides much more robust analytics potential beyond this in the macro/app space, ML, computer vision, NLP, intelligence suite, prescriptive & predictive …
IMHO KNIME is not user friendly as much as Alteryx. Learning curve is long. Regardless is Open Source, the GUI is awful. To do same job in Alteryx you need to add many components and the configuration is very complex. Although the application is free, the server side is not. I …
Verified User
Analyst
Chose Alteryx Platform
The Server component of Alteryx is what our team drew to it. Having a centralized server and support team allows a lot of self service analytics
Verified User
Director
Chose Alteryx Platform
The Alteryx interface is easier to use than Tableau Preps. The Alteryx options are easier to find and configure.
Alteryx has been developed for a longer time. The capability to read big files in few seconds is very good and the way the tool is structure is very intuitive and easy to use.
At the same time Alteryx gives space for your own way and your own implementation.
Informatica is a mature enterprise data integration platform for ETL jobs. Informatica has a suite full of tools other than PowerCenter that can be used for various use cases. It makes sense to know what the entire suite offers rather than just power center so large …
Tableau Prep is covered in our license whereas Alteryx required additional fees and a separate license. Tableau Prep is similar to Tableau Desktop which a lot of our team is comfortable with so it wasn't difficult to get a feel for Tableau Prep. However, Alteryx would have been …
We use both Tableau Prep and Alteryx and, although Tableau Prep integrates better with Tableau Desktop, I find that more often then not I open up Alteryx to do most of my data prep prior to bringing my data into analysis as it is just so much more robust. Not that this makes Tab…
I would 100% recommend Alteryx to a friend, for me its friendly interface is the best, it has all the tools I need without the headache that programming is. It can be used for simple or complex analysis, so honestly, I don’t see a scenario where it wouldn’t suit. I’ve used Alteryx to make simple things I could do in Excel, for example, but it was less complex and faster to do in Alteryx, so why not? Its a very versatile tool.
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
If your data sets are coming in without much stewardship then Tableau Prep can help to clean the data before you start trying to create visualizations for your end users. You will save a lot of time this way - rather than seeing problems once you are creating dashboards. If you don't have large data sets or your data is relatively simple, then Tableau Prep may not be needed.
Pulling data from multiple disparate data sources.
Allows users to see the data at every step of the workflow to be able to cleanse, analyze, and optimize the data.
Provides an analytics platform that is easy for users of all levels to thrive in whether they are just starting out in their analytics journey or they have a master's degree in Data Science.
Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
Great documentation and customer support.
It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
Steeper Learning Curve: Alteryx can have a steep learning curve for users who are new to the platform or have limited experience with data analytics. Enhancements to the user interface and user onboarding resources could help make the learning process more intuitive and accessible to a wider range of users.
Enhanced Data Visualization Capabilities: Alteryx offers basic data visualization capabilities, but there is room for improvement in terms of advanced visualizations and interactive dashboarding features. Adding more sophisticated chart types, interactive widgets, and customization options would enhance the data visualization capabilities within the platform.
Improved Error Handling and Debugging: Alteryx provides error handling mechanisms, but enhancing the error reporting and debugging capabilities would be beneficial. Improved error messages, better visibility into data flow, and debugging tools could help users troubleshoot and resolve issues more efficiently.
There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
We've developed a working partnership with Alteryx. As an enablement suite, we're continuing to innovate and deliver great products with use of Alteryx in our solutions. Alteryx use expands to our global product development teams and is in use in multiple parts of our organization. Alteryx also delivers Experian demographic content to other clients in their product offering. We're highly likely to renew, but that decision is way above my pay grade.
I've found that while some things might take a little longer to create, the flexibility of Alteryx allows you to perform any function needed. I haven't found a use that was not available in Alteryx yet. APIs and XMLs can be created to perform certain functions. In addition, CMD line commands can be sent using Alteryx to perform certain functions as well.
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
I use many programs and compared to others, Alteryx virtually never goes down, freezes up or gives an application error. Over a 4 year time period that I have used this program, any of these may have happened 3 times. It is an incredibly stable program that I feel completely confident in.
I already gave the example of journal entries created in less than a second. What else can I tell you about.... I can tell you those 2 journal entries have historically had to be split into separate accounting systems so the outputs had to be very different (D365 vs Intacct) such that they are exactly ready for uploading. I can tell you I used to have some tire and battery queries hitting a line item detail table and they took hours to run UNTIL I asked IT for a view in SQL and now they're ready in about 5 minutes total. I guess I'd say if anything does take a long time - do some research with others and figure out what would speed them up
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
Stellar, bar-none. Some of the best support folks of any vendor. The Alteryx Community is the most responsive and supportive. On the rare occasion of a release issue or bug, we've been able to get quick help to solve the core problem. Alteryx does not play the blame game. They genuinely help the users solve their issues or respond to questions
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
I have not really had to reach out for any kind of customer support for Tableau Prep, so I can't really say. However, the support that Tableau has given for their other products has been great, so I would assume it would be the same here. They are also constantly adding new features and providing software updates, and that is always a plus.
1st level of trainings which I've attended in Paris was easy and I was already knowing %90, that learning could have been an e-learning instead of in-person
Very good, detailed online trainings which you can take at your own pace, and strong certifications exists, certifications are extremely detailed and hard...
There is really not much to it (the installation, that is). Once you get it installed, along with any of the add-ons (demographics, R, etc.), you are up and running almost immediately. There is really no additional setup. You can immediately begin blending data, running demographics, performing spatial queries, running predictive analysis, etc. And for many of these functions, the learning curve is quite easy.
Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
Alteryx is MUCH more user friendly. both provide the ability to code within them, but Alteryx has much nicer interface. The formula tools have a more simple language that is easier to learn than formulae in SSIS. Alteryx is easy to read with multi colored tools identifying what each one does. It also allows for macros. You can build your own tool to process records of data or batch records together.
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
Before Prep, we had to do all the data joining and connecting in a Tableau Workbook. Not only did this cause workbooks connected with live data to run frustratingly slowly, a new connection and set-up had to be established every time a new workbook as created, even if you were working with the same data. The extracts produced by Prep allow several workbooks to be working from the same data set-up without any additional work, saving time and stress.
Individual analysts can quickly generate results using their own copy of Alteryx Designer. But using the Server and developing macros for more complex needs can be time consuming.
Error handling - allows controls to be built into workflows easily and allows them to be isolated and spat into control reports that can be easily reviewed and audited, thanks to the ability to create multiple outputs in one go.
Time-saving - saved huge amounts of time, especially when moving Excel processes into Alteryx.
Product development - allowed my firm to create products that we have been able to market and sell to clients.
The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
