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Senior Analytics Engineer at a tech vendor with 501-1,000 employees
Real User
Top 5
May 12, 2026
Caching analytics queries has reduced repeated compute and supports faster embedded reporting
Pros and Cons
  • "The use of DuckDB as a cache for analytics in an embedded analytics product is a valuable feature."

    What is our primary use case?

    My main use case for DuckDB is that we're using it as a cache for analytics. We have an embedded analytics product, and in order to manage our compute resources, we are using DuckDB so that we do not compute twice the same query.

    What is most valuable?

    The use of DuckDB as a cache for analytics in an embedded analytics product is a valuable feature. It helps manage compute resources efficiently by preventing repeated computations of the same query. This has made it quite handy and quick to implement, which aligns with the fast-paced needs of our engineering team.

    For how long have I used the solution?

    I have been familiar with DuckDB for six months.

    Which solution did I use previously and why did I switch?

    Before I landed on DuckDB, we had no other solutions.

    How was the initial setup?

    When I first implemented DuckDB, I would say something like two hours to make sure everything was working smoothly. It was fairly quick and then we had to tweak it a bit, with some back and forth with our engineering team. I would say it's pretty handy but I would estimate a few hours to get it up and running and then all set.

    What other advice do I have?

    I have worked with DuckDB. I'm not doing much with DuckDB directly anymore as it's now implemented, so I'm not dealing with it. DuckDB is implemented as a team-wide workflow, but no one works on it on a daily basis. My team did not need formal training on DuckDB as it was pretty intuitive. Adoption has gone pretty well for one department.

    Disclosure: My company does not have a business relationship with this vendor other than being a customer.
    Last updated: May 12, 2026
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    Bassem Mohammed - PeerSpot reviewer
    IT Application Manager at TBTD
    Real User
    Top 5Leaderboard
    Jan 20, 2026
    Integrated business processes have improved real-time analytics and financial performance
    Pros and Cons
    • "Implementing SAP HANA offers financial benefits to the organization."
    • "There is room for improvement in the deployment process as it takes much time and is time-consuming and complex."

    What is our primary use case?

    SAP HANA serves as an ERP system that covers all modules in the firm, such as the financial process, inventory management, sales and distribution, plant maintenance, and human resources processes. It is comprehensive and also covers quality management, depending on whether the organization's business process is retail or manufacturing, so you will select the needed module for this process.

    How has it helped my organization?

    Implementing SAP HANA offers financial benefits to the organization. Any return on investment (ROI) will be defined before implementing SAP, as if there is no ROI, the organization will not move to SAP. It also relates to the business process performance, and if it improves or solves some issues in the process, it will benefit the firm moving forward.

    What is most valuable?

    Whether I or my customers utilize SAP HANA's real-time analytics depends on the data needed to be displayed, and then choosing how to transfer the data to the analytic object, data source, or database to be displayed in the reports. It may be near real-time, real-time, or running batch every day.

    There are tools for integration between third-party systems, such as OData or APIs from SAP to get in or push data to other systems.

    Support for both structured and unstructured data helps organizations unify data sources depending on the needed data to be displayed. There are many ways to store it for report displays, but structured data will be better than unstructured data.

    What needs improvement?

    There is room for improvement in the deployment process as it takes much time and is time-consuming and complex.

    For how long have I used the solution?

    I have been using SAP HANA for five years.

    What do I think about the scalability of the solution?

    Regarding the scalability and flexibility of SAP HANA in adapting to changing IT infrastructure needs, sometimes it may be difficult and sometimes easy. It depends on what needs to change in the structure, as some entities cannot be changed and require a new implementation, while others can be modified.

    How are customer service and support?

    My thoughts about SAP's technical support are that the first line will be the vendors supporting or providing SAP. If they cannot resolve the issue, I will need to contact SAP with tickets, which will depend on the severity. For standard T-codes or customizing issues, they might direct me back to the vendor who made the customization, but for standard issues, they can support or start working on it.

    How would you rate customer service and support?

    What about the implementation team?

    The number of people from my side usually involved in the deployment process depends on the scale of the organization and the business process, but it is almost a minimum of 22 to 25 persons. It is a combination of engineers and administrators.

    What other advice do I have?

    Deploying SAP HANA is not difficult. It will always be the gathering of the process or business process from the client and making every point clear and defining it to make the implementation as the best practice.

    SAP HANA implementation usually or always takes a minimum of eight or nine months if everything goes okay. The reason it takes so long for SAP HANA is that it depends on the needed modules to be implemented and may be split into many phases to make a smooth transition for the employees to accept these changes and learn how to use the system.

    The whole project is quite complex, starting from gathering information, preparing the configuration system, training the team, to the go-live time, and making the go-live process, followed by post-implementation support. All this process may take from eight to nine months or more. I would rate this solution a 9 out of 10.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Disclosure: My company has a business relationship with this vendor other than being a customer. Integrator
    Last updated: Jan 20, 2026
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