Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
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Microsoft Power BI Embedded
Score 7.2 out of 10
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A solution from Microsoft to provide customer-facing reports, dashboards, and analytics in applications by using and branding Power BI as one's own. Designed to reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.
In general the other software have similar function abilities, however, Power BI embedded is user friendly and is easy to set up, so reduce the time spent in training people; in my organization, we use Microsoft Azure so this matches perfectly. In addition, the support of power …
Quick dashboards from Google Sheets - Easier to do the graphs than in Google Sheets - Operational dashboards to be used in the day-to-day work - It is good both for retrospective data and to do a pulse check of the current status - Better for not giant amounts of data and not multiple data sources. - If you need a lot of graphs to be displayed on the same page, it can be a bit glitchy during configuration (then the use works fine).
This product is very convenient to use and implement and is considered a "de facto" standard in the Business Intelligence sphere. First of all, it contains numerous features in terms of visualization, data provisioning, data source integration which makes it a perfect tool for the development of BI analytics. Secondly, it provides great capabilities for the development of data markets for the whole development team. Thirdly, the sharing capabilities of dashboards that are updated in a real-time manner provides great incentives for end-users
Filtering - you can filter across different dimensions and metrics to get a more specific "cut" of data
Refreshing - data automatically ingests into Looker which allows reports to be updated and backfilled in real time
Conditional Reporting - you can leverage Looker's reporting features to flag when a given metric or KPI falls below or above a specified threshold. For example, if you had a daily sales benchmark in a SAAS organization, you could use Looker to flag whenever daily sales falls above or below the benchmark
Looker is less graphical or pictorial which makes it less attractive
Consumes a lot of memory when there are multiple rows and columns, impacts performance too
At times when we download huge chunks of raw data from Looker dashbords, the time taken to prepare the file is enormous - The user fails to understand if Looker has frozen or if the data is getting prepared in the background for downloading. In turn, user ends up triggering multiple downloads
Similar to how Excel has VBA, Microsoft Power BI uses PowerQuery (M/DAX). Though DAX is similar to Excel in terms of how it is written, I just think it's something that would be difficult for new users to figure out.
Something I would like to see done differently in Microsoft Power BI is the ability to have presets for sorting/arranging of visualizations. Though it is nice to arrange the dashboard freely, it would also be nice to have preset arrangements based on visualizations (for those of us bad at making dashboards look appealing).
With Microsoft Power BI, it is hard to show others your dashboard using the free platform (unless you show them from your computer/account). This can cause issues if your firm is trialing Microsoft Power BI before purchase.
We've been very happy with Looker so far, and all teams in the organization are starting to see its value, and use it on a frequent basis. It has quickly become our accessible "source of truth" for all data/metrics.
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
Looker is an off-the-shelf, free tool for Google business users. Other than the internal cost of time to build, we had no costs to set up what we needed to do. Knowledge sharing internally and using templates greatly reduced this cost, making the overall cost very low.
I haven’t used any other software that can be compared to this and that is a good thing as this means that this software is the best one on the market. Tough other apps may exist we only use Microsoft Power BI because it is simply the best app out there.
Allowing others to self-serve their own analytics and connect it to Looker simply and easily has helped unblock the central data team so they can instead focus on validated dashboards whilst stakeholders manage their day-to-day analysis themselves. Countless engineering hours have been freed up by not having to manage every user permission for each BI tool; we have a BYOBI approach; Bring Your Own BI
Creation and management of a semantic layer (LookML =Looker Modeling Language ) allows peoples sandboxes and production databases to become clutter free. Minor adjustments, conditional fields, and even some modelling can all be done in LookML which doesn't need oversight or governance from the central data team.
LookML, specifying drilldown fields and their sub-queries, as well as generally creating dynamic parameters with Liquid are all great features, but can have a steep learning curve. it may take some time to understand how to create this middle layer correctly, or even pose a risk of inheriting complex code from another source which can be unmaintainable if it becomes too big. Some level of governance is recommended if Looker is used by a large number of editors.