I advise others to keep an open mind, as they'll be pleasantly surprised by how Sisense can help. It effectively allows analysts to create self-service portals or reports, saving time from a coding perspective. Because it's quite user-friendly, you don't need to be a hardcore technical person—you can create the dashboards yourself if you have sufficient knowledge, which works better compared to Power BI or Tableau. Sisense is a quite useful product. In cases where there isn't a large requirement or many use cases, the pricing might not be justified. It's important to figure out how many use cases are present to assess whether the investment is justified. On a scale from one to ten, I rate Sisense an eight.
For teams already using tools like MicroStrategy, which also use cubes, Sisense could serve as an easy transition offering more capabilities. I would rate Sisense an eight out of ten.
Normally, you have to maintain it by upgrading the product quite often because of its Linux component since it has a lot more things inside of it, like Kubernetes. The tool has a version of the Kubernetes, and it also has a lot of versions of the server, which is why the problem is you have to upgrade it frequently. I rate the tool a nine out of ten.
There are multiple stages of the availability. The first primary thing is cost. The second one is how large your data is and whether you want to research data in real-time or if it's frequency-based. There are much better solutions like Superset or Looker. If you look at consolidated data that refreshes regularly, like once daily, Sisense is definitely on the good side. It doesn't offer anything extra except for the good visualizations. Sisense is on top of the market. There is an associated brand value. If you want to share reports with the clients, that would also be easier. We were evaluating Sisense, but the pricing was too high for us. We decided to try it and purchased an initial membership plan for 10 or 13 people. We worked directly with the Sisense team, but for a long time, we could not onboard our dataset. We explored multiple solutions, including onboarding a sample dataset first or directly catching the data through queries inside items. This is their primary KPI and USP - you can write questions in site settings and people. We tried to host this somehow, but all of our attempts failed. After multiple discussions, I could onboard the queries directly with the help of the support team. We have dashboards all over the place. It was getting tough for us to track down where the information was. We needed a central location where all the dashboards are present. We were also hopeful that the AI features in Sisense could help us point to deeper insights that we cannot find ourselves all the time. We were evaluating between Sisense, Superset, and Looker Studio. And I think Sisense is relatively fast compared to Looker Studio, for sure. Looker Studio also has some build problems, such as the inability to support custom queries. So, it's not a scalable solution for us. One person currently does maintenance, but we are considering two or three for this job. Overall, I rate the solution an eight out of ten.
Senior Software Engineer/BI Data Analyst at a analyst firm with 501-1,000 employees
Real User
May 22, 2022
We are moving to a better tool. Technologically speaking, Dundas is ahead of other solutions on the market. The most impressive thing about Dundas is that if you have a graph, you can select a segment of that graph and drill down into the detail. You can make comments on the graphs for easy discussions. I would rate this solution an eight out of ten.
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
I advise others to keep an open mind, as they'll be pleasantly surprised by how Sisense can help. It effectively allows analysts to create self-service portals or reports, saving time from a coding perspective. Because it's quite user-friendly, you don't need to be a hardcore technical person—you can create the dashboards yourself if you have sufficient knowledge, which works better compared to Power BI or Tableau. Sisense is a quite useful product. In cases where there isn't a large requirement or many use cases, the pricing might not be justified. It's important to figure out how many use cases are present to assess whether the investment is justified. On a scale from one to ten, I rate Sisense an eight.
For teams already using tools like MicroStrategy, which also use cubes, Sisense could serve as an easy transition offering more capabilities. I would rate Sisense an eight out of ten.
Normally, you have to maintain it by upgrading the product quite often because of its Linux component since it has a lot more things inside of it, like Kubernetes. The tool has a version of the Kubernetes, and it also has a lot of versions of the server, which is why the problem is you have to upgrade it frequently. I rate the tool a nine out of ten.
There are multiple stages of the availability. The first primary thing is cost. The second one is how large your data is and whether you want to research data in real-time or if it's frequency-based. There are much better solutions like Superset or Looker. If you look at consolidated data that refreshes regularly, like once daily, Sisense is definitely on the good side. It doesn't offer anything extra except for the good visualizations. Sisense is on top of the market. There is an associated brand value. If you want to share reports with the clients, that would also be easier. We were evaluating Sisense, but the pricing was too high for us. We decided to try it and purchased an initial membership plan for 10 or 13 people. We worked directly with the Sisense team, but for a long time, we could not onboard our dataset. We explored multiple solutions, including onboarding a sample dataset first or directly catching the data through queries inside items. This is their primary KPI and USP - you can write questions in site settings and people. We tried to host this somehow, but all of our attempts failed. After multiple discussions, I could onboard the queries directly with the help of the support team. We have dashboards all over the place. It was getting tough for us to track down where the information was. We needed a central location where all the dashboards are present. We were also hopeful that the AI features in Sisense could help us point to deeper insights that we cannot find ourselves all the time. We were evaluating between Sisense, Superset, and Looker Studio. And I think Sisense is relatively fast compared to Looker Studio, for sure. Looker Studio also has some build problems, such as the inability to support custom queries. So, it's not a scalable solution for us. One person currently does maintenance, but we are considering two or three for this job. Overall, I rate the solution an eight out of ten.
Collaborating with the solution's support team would simplify the setup process. I rate the solution a six out of ten.
We would rate this solution a six out of ten.
I would rate the solution a nine out of 10 overall.
We are moving to a better tool. Technologically speaking, Dundas is ahead of other solutions on the market. The most impressive thing about Dundas is that if you have a graph, you can select a segment of that graph and drill down into the detail. You can make comments on the graphs for easy discussions. I would rate this solution an eight out of ten.