System Integration Specialist at a non-profit with self employed
Real User
Top 20
2025-10-08T12:57:52Z
Oct 8, 2025
Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.
I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.
I would say that using Sisense on Linux's platform might not be advantageous for everyone. I am more familiar with Windows than Linux. With Windows, the system performs very fast. Even if your data size consists of like 10,00,00,000 loads or whatever, it works very fast. When using Sisense, it is better to have some people with a very good understanding of Linux. I need more technical people who understand about Linux OS. Only two people would be enough to operate the tool.
Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it has a single dashboard. Sisense has multiple levels of filtering, including similarities. Sisense has a huge customer base and is constantly adding plugins, so it is possible to create tables the way you want.
Rice Board of Directors and Kuali Coeus Functional Council at a university with 5,001-10,000 employees
Real User
2023-01-17T16:47:46Z
Jan 17, 2023
At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed. We would also like to see more available data connectors.
Senior Software Engineer/BI Data Analyst at a analyst firm with 501-1,000 employees
Real User
2022-05-22T06:01:12Z
May 22, 2022
This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution. We have also experienced bugs in the widget which has required us to delete the widget and recreate it. When one user adds filters to data, the next user sees the same results which can cause confusion. The next user can also make changes to the data.
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.
Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.
I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.
I would say that using Sisense on Linux's platform might not be advantageous for everyone. I am more familiar with Windows than Linux. With Windows, the system performs very fast. Even if your data size consists of like 10,00,00,000 loads or whatever, it works very fast. When using Sisense, it is better to have some people with a very good understanding of Linux. I need more technical people who understand about Linux OS. Only two people would be enough to operate the tool.
Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it has a single dashboard. Sisense has multiple levels of filtering, including similarities. Sisense has a huge customer base and is constantly adding plugins, so it is possible to create tables the way you want.
The solution's setup process could be easier.
At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed. We would also like to see more available data connectors.
I would like Sisense to improve its performance, particularly when we are dealing with large-scale data.
This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution. We have also experienced bugs in the widget which has required us to delete the widget and recreate it. When one user adds filters to data, the next user sees the same results which can cause confusion. The next user can also make changes to the data.
They should improve the filters to create downloaded data by moving them to the top of the dashboard.