Sisense For Cloud Data Teams vs Dundas BI

Sisense for Cloud Data Teams is a powerful BI tool that excels in the hands of data analysts with coding knowledge. These analysts will be able to model, manage, prepare, manipulate and analyze data with ease. As the platform supports SQL, Python and R programming languages, the sky's the limit when it comes to extensibility, development and coding support. The platform allows for strong collaboration within an organization, designed to alleviate the time-consuming burden of reporting and data visualization on IT teams while allowing business users to access insights on their own time. Most of the features are built around making the analytics team’s job easier, with reusable code, built-in collaboration and more. The support team earned universal praise from users who contacted them, citing their swift, in-depth and informative answers as immensely helpful in resolving any issues they had with the solution. In addition to hands-on support, a speedy implementation process ensures that customers can get the platform up and running in no time. We found that users’ opinions of the platform’s functionality and ease of use differed significantly based on their own roles; analysts generally praised its robust data visualization and data querying features, while decision-makers often found it hard to use, due to the SQL language barrier. SQL is necessary for most functions, and even though there is a visual query editor that attempts to make SQL more accessible, some users said that the platform doesn’t do enough in this regard. Overall, users did agree that the tool makes it easy to collaborate with each other to bridge that gap, with most of the analytics being done on the technical end, letting business users simply access those results. Still, it’s difficult to accurately call Sisense for Cloud Data Teams a self-service analytics tool, as it requires an IT or analyst team’s involvement to truly shine. Additionally, the cost can be prohibitive to smaller businesses. Overall, Sisense for Cloud Data Teams can be extremely powerful in the right hands - for those who know SQL and how to use it, it’s a dream for querying data and delivering analytics, but for those who don’t have the necessary IT resources, it could prove difficult to fully maximize the value of this data solution.

Dundas BI is a web application that stands out for placing the buyer first with built-in ETL, shared licenses and unlimited refreshes. It surpasses market leaders like Power BI and Qlik Sense in native functionality. It’s feature-rich, with 77% of capabilities available out of the box.About 72% of users reviewing the interface praised the platform, whereas others felt it was confusing. An open API architecture might be one reason for the UI's clutter, but the vendor offers a way out. You can make onboarding easier by removing components that seem complex.Usually, reporting is a loose term for dashboards and static reports and not much else. However, the vendor packs these tools into a neat package at no extra cost. Dashboards are usually static, single-screen views, but Dundas allows embedding reports in them to complement your KPIs. The support team is responsive with clear SOPs and quick responses, and the documentation is detailed.On the downside, many users felt it slowed when handling heavy workloads. Performance is critical in business, but every data tool has accompanying tradeoffs, and sadly, it’s often speed. That said, keep in mind that many factors are at play here — the hardware, internet speed, data complexity and database efficiency. Consider them for your use cases when evaluating performance, as they significantly impact how a program responds to user interactions.Ultimately, it boils down to this — how much lag can you accept before it impacts your business? A proof-of-concept or, even better, a trial would be your best bet to assess how the platform fares.Due to its rich scripting options, the learning curve can be steep. Users felt the feature documentation should cover more information on Javascript and APIs. Most reviewers were satisfied with the pricing, saying it offers value for money.In summary, Dundas BI is a powerful tool if you need a high degree of customization, scalability and flexibility. It can handle complex data environments and supports many users concurrently. It would be a good fit for mid to large-sized enterprises as they have diverse data needs and are open to investing in training.Organizations with simple data requirements may find the tool a bit over the top and the cost excessive. In such a case, opting for a tool with basic functionality might be a good start. One non-negotiable would be frequent, stable updates. It'll ensure the tool grows with your business over time.