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AtScale Adaptive Analytics (A3) vs Looker comparison

 

Categories and Ranking

AtScale Adaptive Analytics ...
Average Rating
5.0
Number of Reviews
1
Ranking in other categories
Data Virtualization (4th), BI (Business Intelligence) Tools (38th), Data Governance (34th), BI on Hadoop (3rd)
Looker
Average Rating
8.0
Number of Reviews
19
Ranking in other categories
Embedded BI (5th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. AtScale Adaptive Analytics (A3) is designed for Data Virtualization and holds a mindshare of 10.6%, down 12.7% compared to last year.
Looker, on the other hand, focuses on Embedded BI, holds 25.9% mindshare, up 24.5% since last year.
Data Virtualization
Embedded BI
 

Featured Reviews

it_user822762 - PeerSpot reviewer
Feb 20, 2018
The GUI interface is nice and easy to use, but the organization of the icons is not saved across users
Connecting to a Hadoop database to create a cube to connect to Tableau. We want to be able to easily create cubes which can be connected to Tableau for visualization The product had many issues. We had great collaboration with the product development team, but the product was not able to meet our…
Subramani R - PeerSpot reviewer
Oct 5, 2022
The APIs are exposed at every level, so it's highly modular
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. You can't create very attractive visuals with the built-in features, but I think they're providing some extensions to develop different visualizations. Looker can't create multiple sheets. You can only create one dashboard. It's not that you're able to toggle through different sheets to navigate different visuals. It's just one and people have to scroll through the dashboard. So scrolling is not something that people generally like to do, rather than segregating them in multiple tabs of sheets.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The GUI interface is nice and easy to use."
"With Looker, I have experienced benefits in terms of usability and shareability."
"It is a pretty stable solution because it is a cloud-based product."
"We can centralize all our data models."
"It's quite effortless to navigate through various applications and review their updated data in real-time."
"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."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"The product is easy to use."
 

Cons

"The product was not able to meet our 10 second refresh requirements."
"There was an issue with the incremental aggregation not working as indicated."
"The organization of the icons is not saved across users."
"The integration with different databases must be improved."
"It needs to be more user-friendly."
"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."
"The visualization capability of the product is limited."
"The product does not have documented material."
"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."
"Stability needs improvement."
"Integrations with other BI tools could be better."
 

Pricing and Cost Advice

Information not available
"I do not have to make any payments to use the solution."
"Looker is expensive and could be made better by reducing it."
"It's not cheap, but it's not expensive for big companies."
"The price of Looker usually depends on the solution's provider, but it is usually cheaper than the other products in the market. Looker is offered at different prices for different companies."
"It is cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
15%
Computer Software Company
10%
Healthcare Company
8%
Educational Organization
35%
Financial Services Firm
10%
Computer Software Company
10%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about Looker?
With Looker, I have experienced benefits in terms of usability and shareability.
What is your experience regarding pricing and costs for Looker?
I do not have to make any payments to use the solution. In the beginning, Looker may work fine for its users. If advanced users who have experience with BI tools use Looker, then they may find it t...
What needs improvement with Looker?
The visualization capability of the product is limited. From an improvement perspective, the product should have more visualization capability. I can't clean data in Looker, and if I try to do it, ...
 

Also Known As

AtScale, AtScale Intelligence Platform
No data available
 

Learn More

 

Overview

 

Sample Customers

Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer