We performed a comparison between Alteryx and Looker based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics."The most valuable feature of Alteryx is user-friendliness."
"It is efficient in optimizing our ability to get information."
"I like that I can merge data from different sources into one place."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"The most valuable feature of Alteryx is the intelligence suite."
"Looker allows you to generate the most optimal SQL queries in a DC through UI actions. We had signed a contract with Google Cloud to use BigQuery. That was the primary reason we adopted Looker. It works better with BigQuery than any other BI platform. We also like how this tool was developed. It was designed with an eye toward microservices architecture."
"The product is easy to use."
"With Looker, I have experienced benefits in terms of usability and shareability."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"I would rate the stability a ten out of ten. I didn't face any issues with stability."
"We can centralize all our data models."
"From a developer's perspective, the way the functionality's being handled is great."
"It is a pretty stable solution because it is a cloud-based product."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"The data integration component could most likely be improved to increase enterprise scalability."
"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."
"The server is too expensive for what you get and it really a designer desktop on a server."
"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."
"Stability needs improvement."
"The main area of concern in Looker is probably related to blending the data from the different sources, including the data present internally in the company and on the cloud."
"Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs, and different platforms."
"The visualization capability of the product is limited."
"It needs to be more user-friendly."
"The integration with different databases must be improved."
"Integrations with other BI tools could be better."
"The product does not have documented material."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Looker is ranked 5th in Embedded BI with 19 reviews. Alteryx is rated 8.4, while Looker is rated 8.0. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Looker writes "The APIs are exposed at every level, so it's highly modular". Alteryx is most compared with KNIME, Databricks, Dataiku, RapidMiner and Microsoft Power BI, whereas Looker is most compared with Amazon QuickSight, Tableau, Google Data Studio, Databricks and Zoho Analytics.
We monitor all Predictive Analytics 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.