Looker Reviews & Product Details

Looker Overview

What is Looker?

Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.

Looker Details
Website
Discussions
Looker Community
Languages Supported
English
Product Description

Looker supports a discovery-driven culture throughout the organization; its web-based data discovery platform provides the power and finesse required by data analysts while empowering business users throughout the organization to find their own answers.

How do you position yourself against your competitors?

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.


Seller Details
Seller
Google
Ownership
NASDAQ:GOOG
Company Website
Phone
+1 (650) 253-0000
Year Founded
1998
HQ Location
Mountain View, CA
Total Revenue (USD mm)
$161,857
Twitter
@google
22,793,389 Twitter followers
LinkedIn® Page
www.linkedin.com
226,485 employees on LinkedIn®
Description

Organize the world’s information and make it universally accessible and useful.

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Looker Reviews

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UE
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Invitation from the seller
What do you like best?

Simplicity of use for readers and ability to connect our data warehouses seamlessly. Review collected by and hosted on G2.com.

What do you dislike?

The UI is very bad, and the solution is not mature.

Complex tool for newcomers Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Avoid this tool at all cost. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

We are using Looker to understand how the business performs and where we should double down on. Review collected by and hosted on G2.com.

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Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Invitation from G2
What do you like best?

There is some elements of the governance and consistency of the LookML that I do like. And you can do a few nice things with the datatests.

Symmetric aggregates are nice when they work. Review collected by and hosted on G2.com.

What do you dislike?

The product is way behind the times. Looker is extremely limited in its customisability, especially with aesthetics.

Things like: annotations, titles, data lables, titles, filters etc.

The symmetric aggregates need to be checked and triple checked.

There are many issues with scheduling and updating of tiles on dashboards. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

I would not recommend it. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Automated reporting with business intelligence.

Visualisations are nice. Review collected by and hosted on G2.com.

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UC
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Invitation from G2
What do you like best?

Looker's visuals seem to be designed almost as if Google had a drag and drop product for your central reporting needs. The visuals are clean, and it is very easy to plop a number of visual representations on top of a query. Review collected by and hosted on G2.com.

What do you dislike?

Looker forces a company into two streams of thought: an analyst first culture and essentially married to Looker. Looker really thrives at young or small companies with no centralized reporting or analytics/data science teams. For the few people who know SQL, they can create these items called Dimensions and Measures which are essentially saved queries for qualitative and quantitative data. Instead of having someone write a query with many caveats in a where clause or in cast type conversions, these Dimensions and Measures are meant to save you the trouble of writing them and be ready to drag and drop into an editor for a quick dashboard.

Unfortunately, this only useful for companies just getting out the gates with their data. If you have a column such as customerId, you cannot write SQL in looker to get an aggregate count of customer id's. You need to create a new dimension for it, and have it uploaded. If you have a count of customerIds restricted by some WHERE clause, then you will need to upload that new value as well. All the new measures and dimensions that you need have to be uploaded, which means that you will be responsible for learning Looker's LookML to upload new datapoints.

As a company gets larger and as more departments are formed, your Looker repository will suffer from a lack of grooming. There will be a ton of dimensions and measures all over the place in different schemas and with different underlying queries that no one person will be able to explain. There will also be a massive amount of unused charts and visuals that were created ad-hoc and are relatively unused because they were spur-of-the-moment replacements for an Excel sheet.

This also means that much of your business logic and data governance resides within the tool. If you were to divorce yourself from Looker, it would be a very messy process. Troubleshooting queries is already a challenge because you must look at the underlying code for a dimension or measure. Real trouble starts when Looker creates its own material views, which creates another layer of abstraction that you must then troubleshoot.

This process of ad-hoc adding usable dimensions and measures in a tool through LookML and then troubleshooting the queries underneath the hood is not scaleable and no company with a centralized analytics function should allow it to happen.

Invest in a tool which can intake an actual query through a database connection, and keep those queries thoroughly managed and groomed in a version control system. Create a dashboard environment in which a core group of people build an ecosystem of dashboards for specific requests and educate people on how to read and interpret them.

Do not get into the business of enabling everyone in your company to have the ability to create their own ad-hoc visuals and set of dimensions and measures; you will truly regret the chaos that comes with it. Review collected by and hosted on G2.com.

Recommendations to others considering the product:

Consider if you want a playground for people to create whatever dimensions, measures, and views that they want, or if you choose to proceed with more governance in your BI decision.

Also note that you will have to learn LookML, which isn't difficult, but it's also like why? You are paying to have to learn a company's proprietary wrapper on SQL on top of hiring people proficient in SQL.

If you do purchase Looker, I would highly consider centralizing the function of people who will create visuals and make things to address specific requests, and limit the views that Looker creates. Review collected by and hosted on G2.com.

What problems are you solving with the product? What benefits have you realized?

Looker is used to provide visuals for YoY trends and to produce lists of customerIds that are passed from BI platforms to downstream tools such as CRM and advertising platforms in lieu of a query. Review collected by and hosted on G2.com.

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