GoodData Reviews & Product Details

The actual reason we stayed using GoodData was because of the Drag and Drop Workflow Builder; you plug in tools (like Legos) onto a canvas and even non-coding personnel can build and run their own workflows without bothering Engineering personnel. I had some non-technical personnel train on it in under a couple of weeks and they were able to do ETL Jobs independently which really surprised me. Review collected by and hosted on G2.com.

Performance slows down significantly when dealing with very large datasets, because it loads into memory instead of processing in-place, therefore, if you do not have sufficient hardware, you will notice it. There is no version control built-in, which in today's world, is frankly unbelievable; Collaborating on Workflows feels like it is stuck in 2012. Minor pet peeve, but annoying nonetheless: it does not allow for Notepad or Word Files to be used as input; you need to reformat the file prior to even starting. Review collected by and hosted on G2.com.

The most significant difference is that it liberates our engineering team of developing internal data pages. It is frequently used in the planning process. Its comprehensive feature list in relation to access controls and presentation profiles enable the process of making decisions in a structured manner. Planning was required to implement the same, but there was customer support when required. This has led to us spending more time in product innovation as opposed to building data infrastructure on our own. Review collected by and hosted on G2.com.

In my opinion, the most significant limitation is the reliance on structured setup in the case of expanding the usage. The stages of implementation should be planned, and one can expect unforeseen changes that add to the workload of engineers. The high number of features is potent but introduces administrative headaches. Guiding customer support is not immediate, and sophisticated cases are resolved. Such issues have affected our release date and compelled us to allocate resources in different ways. Review collected by and hosted on G2.com.

I like that all the dashboards in GoodData look alike. It’s easy for the dashboard users to navigate different dashboards as the layout is almost always the same. The integration with Keboola is good and easy to use. I also find GoodData backups useful as they help when changes in table structure in Keboola lead to dropping visualizations in GoodData without warning. Also they have great support. Review collected by and hosted on G2.com.

I dislike that you need to define all the metrics in GoodData manually. Other tools let you choose from a dropdown where 'sum' is the default, but in GoodData, you have to write metric definitions for everything. Also, GoodData warnings don’t propagate into Keboola, so changes in table structure in Keboola can lead to dropping visualizations in GoodData without warning. Review collected by and hosted on G2.com.

My favorite thing about GoodData is that it is integrated with tools that we already have and, in particular, Salesforce and our internal database. I use it in my day-to-day practices as an e-commerce marketer to generate sales and performance of the campaigns in a single platform. It has an impressive assortment of dashboard building capabilities. The IT had to be coordinated with in order to implement it but once that was implemented we began using it daily since it had become part of our routine reporting. Review collected by and hosted on G2.com.

The disadvantage I identify with GoodData is that it is complex when setting up especially when connecting a number of systems. The IT team was required to take a considerable amount of time to create data models. When the structures of the databases change, it does not change immediately, and that influences the frequency of relying on it to make fast decisions. The platform has numerous features and this at times complicate new users hence slowing down productivity during the initial weeks. Review collected by and hosted on G2.com.

The positive aspect of GoodData that I like most is that it helps build confidence in decision making. Being aware of the fact that the numbers will not change overnight makes me talk to the teams better. I apply it on a regular basis, and it has minimized tension during reviews and executive meetings. I do not need to defend figures since I can be more effective by concentrating on the explanation of implications, which has led to my better performance at work. Review collected by and hosted on G2.com.

What I dislike about GoodData is that change can be really sluggish in cases where business questions change. Even minor changes can involve additional procedures, which influences my performance when it is essential to meet a strict deadline. This can at times translate to take longer than anticipated before updates are made to the business particularly when the leadership requires fast clarification in situations where it is needed most. Review collected by and hosted on G2.com.

I really like the rapid data modeling feature, and the product also has strong, reliable data security. It connects smoothly to all of our data sources and has significantly improved our overall data analysis capabilities. Query performance remains excellent even with large volumes of data, and it continues to work well as we scale. Review collected by and hosted on G2.com.

Overall, the experience has been good, and it has completely transformed the way we handle analytics. As a user, my experience has been seamless, and I’m able to query massive datasets quickly and without friction. Review collected by and hosted on G2.com.

I like GoodData's flexibility. We can create metrics that reference other metrics, and it handles all the SQL for us. Creating reports is easy in the UI, but we can also make changes via code when needed, so we're not forced into one way of doing things. The metrics language MAQL, although it has a bit of a learning curve, is quite powerful once you get the hang of it. It allows us to build metrics upon metrics without writing SQL, as it is all handled by the data model. Switching to GoodData has allowed the Data team to create or update reports in hours or minutes instead of weeks or months, which was the case with our in-house platform. Plus, the initial setup was very easy. Review collected by and hosted on G2.com.

While the data model is generally good, I think it can be inflexible when you have a complicated data model. You can't add a custom field to a table without changing the entire table to a SQL definition, for example. Review collected by and hosted on G2.com.

The factor that I like best about GoodData is its flexibility once it has been established. I am using it on a daily basis to create dashboards that integrate with our CRM and SQL database and it fits well in our existing stack. The features count also allows me to make sales and ops views without changing tools throughout the day. It spares time in projects that require much implementation and integrating with other software is not imposed, but rather practical. Review collected by and hosted on G2.com.

The biggest negative aspect to me is that certain features are too complicated to use with smaller requests. It may be more work than I expected when I am in a hurry and require changing clothes, and this influences my working process. The implementation adjustments are at times demanding of additional effort, which slows down the process during the busy weeks. Their usage is frequent, and thus these minor problems contribute to the cumulative effect and may affect productivity in case of deadlines. Review collected by and hosted on G2.com.

I think the ability to create different dashboards and share them with different people is great. I really like having different visualizations and the same visualization across different dashboards for things that are needed. The visuals are generally quite nice and quite customizable, which I appreciate. Review collected by and hosted on G2.com.

I think it'd be a lot nicer to be able to define your own metrics at certain times. Sometimes the metrics can be quite tricky and challenging to work with the MAQL code. There's a few things that don't seem to work. The idea of joins and data from one dataset joining to another can be a bit temperamental. Review collected by and hosted on G2.com.

I love the response time to inquiries; it provides consistent answers for all teams. I can analyze the same data from different angles, and it delivers instant answers to my queries. I also appreciate the flexibility of the access controls, since we can analyze many data points simultaneously. Review collected by and hosted on G2.com.

So far, we haven’t had any issues. The platform feels quite intuitive, and I honestly haven’t come across any real drawbacks. Overall, it’s efficient and very easy to use. Review collected by and hosted on G2.com.