Avaliações e Detalhes do Produto SAP Datasphere

What I like best about SAP Datasphere is how it brings together data from multiple sources into a single, unified environment without losing business context. It makes it easier to access and manage data across systems, especially when working with large enterprise datasets. The integration with other SAP tools is smooth, and it helps maintain consistency across data models, which is useful for reporting and analytics. I also like the way it supports real time data access, which improves decision making speed. Análise coletada por e hospedada no G2.com.

What I dislike about SAP Datasphere is that the initial setup and configuration can be complex, especially for teams that are not already familiar with SAP environments. There is also a learning curve when it comes to understanding the data modeling approach, and performance can sometimes vary depending on how data is structured and queried.

SAP Datasphere mainly solves the problem of fragmented data across different systems. It creates a centralized data layer where data can be accessed, governed, and analyzed more efficiently. For me, this helps reduce the time spent on data preparation and improves data reliability. It also makes collaboration easier between teams working on analytics and reporting.

Overall, it is a powerful solution for organizations that deal with large scale data and want better control, visibility, and integration across their data landscape. Análise coletada por e hospedada no G2.com.

I like that I don’t have to move everything into one warehouse. It lets me connect live data from different places, which saves a ton of time. The modeling is pretty straightforward once you click around a few times. Análise coletada por e hospedada no G2.com.

Same honest vibe: I don’t like how finicky the connection setup can be—it feels like every small error takes forever to track down and debug. The UI also sometimes lags or hides things I just used, which gets frustrating fast. And while it handles SAP data well, integrating non-SAP sources can be pretty clunky. The pricing model worries me too; I’m constantly second-guessing whether a query will unexpectedly spike costs. It works great when it works, but overall it’s not as smooth as I’d hoped. Análise coletada por e hospedada no G2.com.

The best part for me is the “Spaces” setup. It finally solves that old headache where Finance or Marketing wants their own data playground, but without the risk of them accidentally breaking our core IT models. It’s a huge relief to give them real autonomy while I still keep the “governance” keys.

I also really like that it doesn’t strip away the meaning of my SAP data. If you’ve ever tried moving SAP data into a non-SAP warehouse, you know what a nightmare it can be to rebuild all the logic. Datasphere just “gets” the metadata right out of the box, and that has saved us a ton of manual mapping work. Análise coletada por e hospedada no G2.com.

The interface can feel really laggy. There’s a noticeable delay when saving models or switching between the Data Builder and the Business Builder, and it gets frustrating when you’re trying to move quickly.

Pricing is also pretty confusing. It’s hard to predict how many “Capacity Units” you’ll actually burn through, so you end up constantly monitoring usage to avoid an unexpectedly huge bill. On top of that, the error messages are often far too vague—half the time I have to dig through forums just to understand what a basic validation error is even trying to say. Análise coletada por e hospedada no G2.com.

Simplicity to use the different features. Short curve of learning how to use the different solutions. Performance ok and requirements easy to satisfy. Análise coletada por e hospedada no G2.com.

The customization part is not so easy to learn and lacks of some powerful mechanisms to impleement complex tasks. The integration with other tools can be improved. Análise coletada por e hospedada no G2.com.

I like SAP Datasphere's ability to unify data from multiple sources into a single, trusted layer while preserving business context. It simplifies data modeling, improves governance, and makes it much faster to deliver reliable insights. Its seamless integration with both SAP and non-SAP systems is especially valuable for building scalable and flexible analytics solutions. Análise coletada por e hospedada no G2.com.

It has a steep learning curve, and performance can vary with complex models and large datasets. The user interface and documentation could also be more intuitive and easier to use. A more intuitive interface with clearer navigation and fewer steps for common tasks would help. For documentation, more practical examples, step-by-step guides, and better troubleshooting resources would make it easier to use. Análise coletada por e hospedada no G2.com.

What I like best about SAP Datasphere is the way it simplifies access to trusted, business‑ready data across the entire organization. The semantic modeling layer, strong integration with SAP and non‑SAP sources, and the ability to virtualize or replicate data depending on the use case make it very flexible. It also provides a unified environment for data modeling, governance, and analytics, which helps accelerate projects and reduces dependency on IT. Análise coletada por e hospedada no G2.com.

Certain tasks require switching between multiple interfaces, and performance can vary depending on the data virtualization approach. Documentation and examples could also be more detailed, especially for complex modeling scenarios. While the platform is evolving quickly, these areas can slow down adoption. Análise coletada por e hospedada no G2.com.

What I like most about SAP Datasphere is how it simplifies data integration across different sources while preserving business context, which makes analytics much more reliable and meaningful. Análise coletada por e hospedada no G2.com.

While SAP Datasphere is very powerful, it can feel complex at times, and simplifying certain processes would make it even more efficient to use.It’s a powerful tool, but it can be a bit complex and not always the most intuitive at first, especially for new users without SAP background. Análise coletada por e hospedada no G2.com.

I appreciate how SAP Datasphere brings together data from multiple SAP and non‑SAP systems in a unified, well‑structured environment. The UI is clean and intuitive, which makes modeling and exploring data far easier than in traditional warehouse tools. Its integration capabilities are a major strength—connections to SAP S/4HANA, BW, and cloud sources feel seamless and reduce the time spent on manual data preparation. Análise coletada por e hospedada no G2.com.

While SAP Datasphere is powerful, it can feel overly complex for new users. The UI, though modern, sometimes hides key functions behind multiple layers of menus, which slows down navigation and data modeling. Integration with non‑SAP sources occasionally requires extra configuration or connectors that aren’t as seamless as advertised, adding setup time and maintenance overhead. Análise coletada por e hospedada no G2.com.

What I like best about SAP Datasphere is how easily it connects data from multiple sources without requiring complex integration work. The semantic layer and clear data modeling tools make it simple to maintain consistency across reports. Changes propagate quickly, which saves time and reduces errors. Overall, it streamlines data preparation and helps create reliable, unified analytics much faster. Análise coletada por e hospedada no G2.com.

One of the main downsides of SAP Datasphere is that some integrations require additional configuration or rely on external tools, which slows down onboarding. Performance can also be inconsistent when working with larger datasets, especially during complex transformations. These issues sometimes interrupt the workflow and make it harder to maintain a smooth data pipeline. Análise coletada por e hospedada no G2.com.