GoodData is a cloud-based data and analytics platform, bringing AI-fueled data-driven decision-making to organisations across the globe. With a platform that leverages the potential of automation and AI, GoodData empowers its customers to make data analytics available to end users via real-time, self-service data insights right at the point of work. The vendor states that over 140,000 businesses and 3.2 million users rely on GoodData to drive meaningful change and achieve more through…
$30
per month per user
Looker
Score 8.3 out of 10
N/A
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.
Logical data modelling and XAE (MAQL) are reasons why I like using GoodData for projects where I need to connect small chunks of data from multiple sources and enable holistic analysis across the whole company quickly for everyone. With PowerBI or Qlik Sense you need 5 times …
GoodData stacked better over Looker in its ability to manage distribute and provide custom control to end users. overall cost with GoodData would be lower as it would wound not depend on the data platform for compute resources.
Looker and GoodData are both powerful BI platforms, but they have distinct strengths. Looker offers seamless integration with Google Sheets, enabling easy data import and analysis. On the other hand, GoodData excels in data modeling, providing a user-friendly interface for …
I have used all softwares in my past 10 years of experience. GoodData stands out with its seamless data integration, advanced predictive analytics, and collaborative features. Unlike Tableau and Power BI, GoodData offers scalable solutions with a user-friendly interface for …
Choosing between GoodData and other platforms was clear for me as the superiority of GoodData over others due to our needs. GoodData stands out for its awesome dashboards, robust predictive analytics, reports, and analysis. Data integration helps us for business intelligence …
GoodData is best among every other platform I used because it's a cloud based platform and way to easy to use. Its robust predictive analytics and unified data view set it way apart. While Power BI and Tableau excel in visualization, GoodData's focus on comprehensive business …
I was involved in the decision making but not final decision maker. Ease of implementation for GoodData vs Cognos (used for 15 years in multiple companies). I think Tableau's visualizations are better, but there is much that just can't be done in Tableau that GoodData handles …
In GoodData we really liked the fact that sales and engineering were on our side from the beginning, the calls were very easy to book and were efficient with clear agenda and participants. We also got invited on Slack were we had support from the team and also we liked the …
For analysts, Tableau is far better because of better graph visualization. Tableau does not need to deal with the amount of uploaded data. Our company uses Gooddata because of its unbeatable price.
I actually investigated around 20 options and in most part the embedding + multi tenant mode that became a key concern. They either do not have the support or the price scaling is terrible or the startup cost is prohibitive. On the average startup cost is around 50k per year and …
GoodData stacks up very well against most of the tools but there are some advantages other tools have over GoodData. We selected GoodData because of the ease of use of the tool and since we dont have tons of data that we need to process. for our needs this tool suited the best …
GoodData excels for my sales team in scenarios such as real-time performance tracking and sales metrics. The customizable dashboards help me to monitor lead conversion, revenue and individual performance. Along with huge data we also have insights. We can get most of our decisions based on it's analysis and optimize our strategies, and enhance overall sales.
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).
GoodData helps in simplifying complex data into easy-to-understand visuals. We can create personalized dashboards & tailor them as per requirements. This data can be used from an executive level employee to a team lead employee in the business
GoodData is a very user friendly platform. The collaborative features simplify sharing and discussing reports among team members which promotes a culture of data-driven decision-making.
GoodData connects with various data sources and consolidate information from multiple platforms. This flexibility proves invaluable for businesses dealing with data spread across different systems as they can access large amount of data on a single platform.
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
Each client I have worked with and spoken too has renewed their GoodData subscription. I know of not one to date that has cancelled. The GoodData platform has a very high rate of renewal from the discussions I have had with their internal teams as well
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.
GoodData provided us with strong overall usability and provided us a platform for various business analytics. Its user-friendly and insightful reports and also the dashboards. Me and my team really appreciate the platform's ability to streamline decision-making processes. However, there is a learning curve during initial setup as I mentioned before. Continuous improvements in the onboarding could further enhance GoodData's usability as well.
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.
The fast and comprehensive responses we got from GoodData regarding the doubts we had experienced while starting to use the products and metrics were of great help in ensuring the metrics we were obtaining were accurate to what we wanted to know about our customers' experience and our product areas of opportunity.
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.
GoodData was more cost effective and did not necessitate additional spend on internal resources. The end user interface was easy to use and did not require additional set up or customization. The clients required little support from the Prometric staff to use the product
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.
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.