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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Yellowfin
Score 7.9 out of 10
Mid-Size Companies (51-1,000 employees)
Yellowfin is a cloud-based business intelligence and dashboarding platform.
My selection of Yellowfin based on following criteria for the Indian market:
Availability in Linux platform to process high volume of transaction with CAL (concurrent user access license) model to use multiple server with high concurrent users
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).
We can recommend this software without hesitation, as it has the ability to generate reports and data analysis, as well as process the data automatically, which saves time. It is ideal for small and medium-sized companies that wish to improve their services in the business world
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
Yellowfin’s Storyboard, Timeline and Collaborative tools make it easy to share data and insights across an organisation.
Strong Operational and Executive Dashboards that reflect the business KPIs and can send out prompts to people within the business based on rules.
Yellowfin makes it incredibly easy to create dynamic reports and dashboards which incorporate maps through locational intelligence functionality.
Yellowfin is a single license and all access is via a web browser making it perfect for both on-premise and cloud deployment. Mobile apps are also available.
User roles and source filtering allows Admin/IT to offer different functions/views by user group/role.
Mobile BI applications to support any device ..
API connectors ( YF 7.2 on the way in Mar16 ) for a range of third-party Web-based applications, data sources, Enterprises CRM/ERP apps & open data platform apps, including Salesforce, Google Analytics, Twitter, Youtube , Zoho CRM, XE.com & more coming to make endusers to integrate their applications for better benefits
Yellowfin Integration with Predictive analytical and Big Data processing tools like R, UDF, Spark to build rich applications for end users
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
The ability to predefine a colour for a specific graph as a selection option dynamically.
The ability to customise the label of a chart, especially with respect to performance related reporting graphs we need an increase in dynamic charting options to meet our more specialised requirements.
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.
As mentioned previously, if a newer company is looking for a strong, polished BI tool, Yellowfin would be a great software vendor to consider. Unfortunately, the high cost might be a barrier to these newer companies who dont have any legacy software/agreements such as an EA agreement with Microsoft.
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.
They have good support in what they provide. But what they provide is not what is promised. I would stay with them if I can. Be very careful before signing up with them. They are not what they seem in the sales pitches. Be very careful and make sure you test and test before you sign up.
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.
Yellow Fin platform is browser agnostic and is accessible from desktops as well as mobile devices. It is very simple and fast, it is integrated with Big Data, clients do not require a great training. It just works. But it’s easier to have things on the cloud, especially if you need to use different computers. Yellow Fin lacks the cloud feature.
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.
