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."This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."
"The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"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 most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"The three data signs and data engineering are great features."
"The filtering is fast, and it provides a search tool that is great."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"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."
"From a developer's perspective, the way the functionality's being handled is great."
"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."
"The product is easy to use."
"It's quite effortless to navigate through various applications and review their updated data in real-time."
"With Looker, I have experienced benefits in terms of usability and shareability."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"The price of the solution could improve by being lower."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"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."
"Deep learning models are not currently supported."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"The product does not have documented material."
"Stability needs improvement."
"It needs to be more user-friendly."
"Integrations with other BI tools could be better."
"The visualization capability of the product is limited."
"The integration with different databases must be improved."
"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."
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, Dataiku, Databricks, RapidMiner and Tableau, whereas Looker is most compared with Amazon QuickSight, Tableau, Google Data Studio, Databricks and Zoho Analytics.
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