GoodData vs. Qrvey

GoodData is well suited when you have a lot of data sources and you need a single location where you can pipe the data into and then create insights/charts/analytics based on the data you've piped in there. It's also great if you want to customize how the datasets interact with each other and what that logical data model looks like. Super super intuitive there. I think it's not great for data presentation if your product is presenting data to your customers. For internal use, it's great

Incentivized

Qrvey is an excellent solution for AWS-based customers looking to add embedded analytics functionality. It is cloud-native and good at scaling. There are BI solutions with greater depth in particular areas (chart types, custom metrics), but Qrvey has an unmatched level of customizability for embedded use cases. Many APIs are also exposed and documented, making them easy to integrate into a data ecosystem.

Incentivized

• It's a good platform that has a flexible pricing plan which means that users can get hands-on service free at the start.
• GoodData provides its users with excellent charts and drill-down analysis which makes complex large data sets so simplified and easy to understand and interpret.
• For me it is so convenient because everything just gets saturated on a single page.

Incentivized

• The platform deploys to our AWS instance which gave us the ability to manage ourselves
• The feature of easily embedding visualizations into other applications
• The powerful features like workflow automation

• No option to visualise a pin on a map
• Custom metrics and variables can be tricky to get right
• Hard to gauge where you are in terms of workspace data limits
• Adding and removing DB fields from models is not as intuitive as it could be
• Data model loading logs can be quite dense and hard to read, esp. when new
• Setting up models to correctly reference between DB tables takes practise
• No option to limit the amount of data a model loads once the table is included

Incentivized

• Merges between heterogenous datasets can occasionally be problematic
• The dashboards/pages are already very powerful, but more interactive elements would always be welcome.
• The administration of a Qrvey instance and underlying datastore can sometimes be complex, but the Admin app helps make this a smooth process.

Incentivized

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

After comparing over 20 solution, this is probably not the best in class but the feature set is very competitive. If budget is of no issue, solution like Looker is probably more popular and robust but if you do not want to spend every bit of your budget just for your BI tooling, most users would find GoodData reasonably good enough especially if you are on the SME level

Incentivized

We are approximately one month since go-live. There has been one short outage.

Performance on refreshing metrics works well.

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.

Incentivized

Petr was a rock star - patient, knowledgeable, clear and easy to work with.

GoodData implementation team was professional and courteous

Thorough, professional and on time.

We chose gooddata compared to other products because gooddata is easier for ordinary people like me to use. Apart from being easy, gooddata also has many features which are more than enough to help my work and costs incurred by gooddata are lower than when I use other products. Thank you goodata for helping our work

Incentivized

• It has helped us drive down support ticket volume
• Better data insights of support tickets helped identify key customer issues and channelize efforts accordingly
• Detailed analysis of existing issue, helped identify product defects across the board thereby provide meaning insights to engineering teams to resolve product issues that were previously unknown to us

Incentivized

• In one implementation, Qrvey helped our customer quickly achieve feature parity with competitors, reducing churn.

Incentivized