Sisense Reviews

My main use case for Sisense in my organization is business intelligence, as it helps us with complex data from multiple sources and provides awesome insights, making it easy for us to make data-driven decisions. Sisense solves major issues like lack of actionable analytics, and we mainly use it for tracking all our key performance indicators and optimizing our sales pipeline for the future.

A specific example of how I use Sisense for tracking KPIs and optimizing our sales pipeline is that it helps us monitor performance metrics and make informed decisions quickly, while also aiding in the creation of reports for a better understanding of our business processes and overall performance. We also use it to build dashboards for sales, marketing, and operations, providing actionable insights for decision-making across sales, operations, and finance, and it excels at creating interactive dashboards that non-tech staff can navigate.

This tool has given me the power to convert data into new analytical applications, giving me transparency about working on multiple platforms, and since it is cloud-based, it combines different pages for a complete progress report. Overall, it is playing a perfect, fantastic role in my organization.

Some of the best features Sisense offers include its speed due to the In-Chip methodology, great visualization that makes BI easier, and the ability to load millions of data in seconds, which did not seem possible with other traditional reporting tools. It also has a robust architecture and provides REST APIs for external access.

I emphasized the In-Chip methodology because it allows for accessing millions of data in a short span of seconds while providing the best visual effects for our business data.

Sisense is easy to set up and connect to various formats and platforms, but it could improve its management strategy for dashboards created by multiple users, reducing complexity and enhancing security. Additionally, since Sisense is a heavy application, caution is necessary when deploying this powerful tool in a resource that meets system requirements to avoid performance delays.

I think the navigation and filtering options could enhance the mobile version, but Sisense needs to work on the layout to improve user experience.

I have been using Sisense for the past five years.

Sisense is very stable and can handle a large amount of data quickly.

Sisense's scalability is impressive, as it can ingest millions of data and handle it efficiently.

I also want to mention that the technical support has been great, and the onboarding process has been straightforward.

Sisense customer support has been top-notch, great, and very responsive.

Positive

Before Sisense, I used Microsoft Power BI and Domo, but we switched because Sisense is one of the most accurate data analysis applications, offering an intuitive data exploration approach and allowing our data analytics team to build and share knowledge quickly.

Since I started using Sisense, I have never faced any difficulty in shifting my data from the previous cloud while implementing this software, as it is very easy to install and get started. The free trial also helps us identify drawbacks and find exact solutions.

I have seen a return on investment, as Sisense has reduced the time for obtaining complex reports from various data sources and controls multiple formats, enhancing our platform and timely delivery of internal and external resources to our clients.

My experience with pricing, setup cost, and licensing has been positive, as the price is relatively affordable compared to other solutions, and I have no challenges with the pricing. The setup is straightforward and easy, and customer support was very helpful when we had questions.

Before choosing Sisense, I evaluated Tableau Desktop among other options.

The impact of that speed on my daily work and my team's workflow is significant, as we have been able to load millions of data in fewer seconds, which seemed impossible with traditional tools, enabling us to analyze data and make insights faster for data-driven decisions.

A specific outcome after implementing Sisense is improving our sales results, reducing manual work, and achieving a higher-performing querying capability.

My advice to others looking into using Sisense is that it is the best choice for any company seeking a reliable, powerful, and accurate tool that connects to various databases, providing amazing dashboards and consolidated data resources while ensuring a proper assessment before deployment.

Additionally, Sisense enables real-time communication of data within the organization without the need for constant updates or meetings, making data readily accessible for presentation and collaboration. I would rate this product an overall 8 out of 10.

Sisense was used for one of our clients to enable analytics and dashboards for their applications, which were supposed to get the data from different partners for that specific client. Sisense is white labeled and provides white-label data analytics. It is very easy to use and, compared to other platforms, it provides many good features. It is built on a modern stack, so it really stands out. That is one of the reasons we chose Sisense for this particular project.

Sisense is an API-first embedded analytics platform, which is really good. We have gotten a lot of ease integrating this specific platform with any applications, dashboards, or websites that we want to develop. It supports ElastiCube in-memory models, which are performant, and it supports different types of data. It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data. It mainly allows you to do embedding and white-labeling, so that's one of the main features of Sisense platform.

Because of the API-first approach, the APIs are quite easy to use, allowing us to create customized dashboards. Some of the other platforms, such as Power BI or Tableau, can feel restrictive. Here, we already had a customized dashboard that was developed for the specific platform. Because this is an API-first or API-led analytics platform, it feels like a plug-and-play system, allowing more customization power to the client rather than just using one platform as a whole for analytics and dashboarding. Also, because of ElastiCube, we have more control over how the data is processed, enabling us to do a deep dive into the transactional data and review the historical data.

Sisense positively impacts our organization by speeding up the process of getting and presenting the data to customers or stakeholders, which normally takes a lot of time due to curation and presentation efforts. The turnaround time for the project is quite good. We are able to bring the data in front of the stakeholders quickly, which was one of the major achievements and met our expectations.

The turnaround time with Sisense improves by around 30 to 40%. The stakeholders are quite happy because, in the past, they were stuck with platforms that were one platform for all use cases. Therefore, the turnaround time and the features provided by Sisense are excellent.

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 have been using Sisense for around one and a half years.

Sisense is stable.

Sisense works really well for simple to medium use cases and scales well, but it may face challenges with very complex use cases.

Customer support is good enough.

Neutral

We previously used Power BI, but for this specific project, we were looking for a better fit. The client was open to different solutions and not restricted to a specific stack, so we evaluated other products such as Power BI and Tableau before choosing Sisense.

We have seen a return on investment because these kinds of projects typically require more developers to create dashboards and models. Sisense is easier to develop and embed within existing websites or applications, saving effort in terms of man-days or man-hours. Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.

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.

Our main use case for Sisense is across our business finance models in the financial and accounting departments. We use it to develop and redesign the information stored in our project management software and our ERP systems for our company. It gives us the prospect to consolidate everything in a single, easy-to-manage tool. Sisense reduces the time it takes to obtain complex reports from many different data sources and controls a variety of formats in one single tool that enhances our BI platform and our internal and external resources delivered to our end clients seamlessly.

A specific example of how I use Sisense for our finance models and in project management is that it is a very robust and powerful, very accurate tool that helps to connect a wide variety of standard and unconventional databases or data sources. With proper assessment before its deployment, it delivers amazing dashboards and business reports that can consolidate different data sources, hence becoming a useful resource for both your business and your customer.

The best features Sisense offers include that it is fast due to its In-Chip methodology. It uses great visualization. BI becomes easy with Sisense. Millions of data can be loaded in a few seconds, which did not seem possible with other traditional reporting tools. It has a robust architecture and provides REST APIs to access it externally.

That speed impacts my workflow significantly as it represents the greatest step and latest in the business intelligence market. It provides In-Chip technology for accessing millions of data in the shortest span of seconds and provides the best visual efforts for our business data to make data-driven decisions easily.

Sisense has positively impacted my organization as it reduces the time it takes to obtain an optimal return on investments. It delivers the instant analysis required to merge our financial numbers and statistics with a pretty accurate dashboard landscape. Hence, we are able to make data-driven decisions easily.

Sisense has improved our decision-making speed and saved my team, especially the data team, time. They are able to focus on more strategic other tasks because Sisense has done the work of providing analytics and deep insights where we are able to make data-driven analytics easily.

Sisense can be improved as the usability of the application on mobile devices needs some improvement, especially navigation and filtering. Dashboards that are created by multiple users can be a bit of a hassle to share by the admins.

I would also add that there is no proper metrics regarding dashboards, tables, use, and workloads, effects optimization, and schema size.

The web version of the ElastiCube Manager does not do everything that the desktop application does and should be improved.

I have been using Sisense for the past five years.

Sisense is very stable as I have not experienced any downtime.

Sisense's scalability is impressive as it can crunch a lot more data and has consistently better performance, so it is very scalable.

Sisense customer support is proactive and responsive.

Positive

I previously used a different solution before Sisense, which was Qlik Sense.

My experience with pricing, setup cost, and licensing is that it is cost-effective, but for smaller organizations working under a tight budget, this tool might be a bit expensive for them.

I purchased Sisense through the AWS Marketplace.

I have seen a return on investment with Sisense as it is a dashboard tool that is great. It is very appropriate for delivering summary or exceptional data in a fashion that is easy to digest. It makes it very easy for us to make data-driven decisions and we are able to forecast our future predicament or future plans, hence increasing or boosting productivity in my organization.

My experience with pricing, setup cost, and licensing is that it is cost-effective, but for smaller organizations working under a tight budget, this tool might be a bit expensive for them.

Before choosing Sisense, I evaluated other options such as Business Objects and SRC.

Sisense is one of the best BI tools that can load more data and has consistently no downtime compared to other modern BI tools. It successfully retains the best of the cube world and also provides the power of the modern In-Chip visualization engine, making it a highly recommended tool.

Sisense is very suited to rapid data mashup for massive data sets and self-service BI deployment with a very smooth user experience.

Sisense solves a major issue like lack of actionable analytics, where we mainly use it for tracking all our key performance indicators and optimizing our sales pipelines for the future.

Sisense helps us monitor performance metrics and make informed decisions quickly, and it also helps us in creating reports for better understanding. It helps us to build dashboards for sales, marketing, and operations easily.

It is excellent for creating interactive dashboards that non-technical users can navigate, and it is also great for handling our extremely large data sets. For example, in our marketing teams, large data sometimes leads to slower performance that is frustrating.

Customer support is straightforward and responsive, and data discovery is exceptional. Big data services are amazing and secure, and the easy integration of APIs is beneficial.

The in-chip methodology is very effective because it allows millions of data points to be loaded in a few seconds and processed, enabling us to make data-driven decisions through the insights gained.

Sisense has positively impacted my organization as it has been one of the best tools available. I believe this is true because of its effectiveness. Since we can connect multiple data sources, we are able to make data-driven decisions more easily, and we have improved our marketing and sales strategies.

Additionally, technical support does not easily remote into our instances if we are hosting ourselves to diagnose issues quickly.

Sisense could have better connections to digital marketing tools, but I understand they are working on that.

My main use case for Sisense is creating dashboards, C-level dashboards, and data analytics.

I can provide a specific example of a dashboard we have created using Sisense. We have created many widgets inside the dashboard with numerous business rules for creating these dashboards.

The best features Sisense offers allow complete transformation. We monetize Sisense to our customers so they can transform it into their application, and it works as a native application. It does not look like a Sisense app. The build process is robust in Sisense, using the ElastiCube to store the data, and we can load as many widgets as possible. The visualizations are very good when compared to other applications.

Sisense has positively impacted my organization by drastically reducing the time taken to build the data cube, and we can see real-time analytics. The time taken to create the reports and dashboards has been drastically reduced by at least 40%.

I don't see any shortcomings in Sisense. The ElastiCube data processing should be improved. The build process is already efficient, but there can be slight changes when handling large volume data sets.

I give Sisense a nine because the integration with some third-party tools is good, but Sisense is not able to handle three-dimensional data.

I have been using Sisense for around one year.

Sisense is stable and robust.

Sisense's scalability is excellent. It is scalable to a very large extent and we can integrate any third-party tools.

The customer support is good. We typically get responses within 24 hours.

Positive

I previously used Power BI. When compared to Power BI, the visualizations are very good in Sisense, so we have moved to Sisense.

I have seen a return on investment in that we can manage the Sisense environment with a very small number of users. We can have only one admin and we can have as many users as possible.

My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.

Before choosing Sisense, we evaluated Qlik Sense, Power BI, and Bold BI.

My advice to others looking into using Sisense is that it's always good to integrate Sisense with their existing systems.

My company has a business relationship with this vendor other than being a customer; we are a partner.

I rate Sisense nine out of ten.

I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to clear compared to other tow truck companies. Essentially, I was comparing responsiveness among different tow truck companies.

The Sisense solution was very easy to set up, and its visualizations were effective. Creating dashboards was straightforward and it didn't take long to understand how the tool works, making it intuitive. Additionally, it offers two ways to access data: by cubing the data or hitting it live. Using the last two cubes for data visualization made more sense for efficiency.

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 have used Sisense for about a year.

There was no downtime reported with the solution.

I did not encounter any scalability issues. However, the Security appeared a bit cumbersome for maintenance.

During the process, I had a fully dedicated resource on my team, and I engaged with them twice a week. The support was very good.

I evaluated ThoughtSpot. Ultimately, I chose ThoughtSpot due to its superior self-service capabilities, despite Sisense having slightly better dashboarding.

The initial setup was very straightforward. As this was a proof of concept, I was able to access test databases easily.

There was no significant difference in pricing between Sisense and ThoughtSpot. They were practically dead even from a pricing perspective.

I also evaluated ThoughtSpot. Sisense had better dashboarding capabilities, but ThoughtSpot's self-service capabilities were the deciding factor.

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.

For the use case, the tool is mostly used from an analytic point of view. We are focused on huge data size because the last time we worked with the tool, it was very good.

Sisense is one of the best, and that is because of the product itself. Sisense can integrate with multiple sources at one time. If you have many databases, you might have CSV files, Excel files, or any kind of data files that Sisense can connect and wrap up everything in a single time. Another thing is predictive analytics. I would say that they are using a lot of AI features to advise the end user to understand the data, which is valuable. The tool gives us a lot more answers to help us understand many parts of the data.

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.

I have been using Sisense for four or five years.

I haven't mostly found any problems with Sisense, so I would say that it is a stable product.

Scalability-wise, it is a great solution.

The solution's technical support is good. I rate the technical support a nine out of ten.

Positive

The scalability offered by Sisense is better than what Board offers. In Sisense, the AI feature associated with predictive analytics is good.

The solution can be deployed in a day.

The solution's technical support is good. I rate the technical support a nine out of ten.

Fr return on investment, the tool probably saves a bit of time. It might not be good enough for the region I work in currently. The time-saving part can offer a lot after the installation or implementation is completed. After implementation is completed, it can help businesses in a more valuable manner.

The pricing is subscription-based and on a yearly basis.

Compared to Power BI or Tableau, Sisense is much more expensive. Suppose you look at the features provided by Power BI or Tableau. In that case, it includes everything, making it pretty hard to compare the pricing of Sisesne with others because of the structure of the pricing of the other products. There are tools like Power BI and Tableau that offer support, and its pricing model may look cheap. If you like to have the full feature set or functions, there will be a lot of similarities between Power BI, Tableau, and Sisense.

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.

We use the solution to centralize all processes.

Before Sisense, we didn't have a single platform to monitor our performance data. As a performance advertisement organization, we needed a place to monitor all performances. Sisense helped us achieve this by pushing our data into one place. Now, anyone in the organization can analyze any data point they need without looking at multiple locations.

It is easier to get on board with Sisense because of their custom support team. You have a dedicated team to help.

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.

I have been using Sisense for one to two months.

The product’s stability has no issue.

I rate the solution’s stability an eight or nine out of ten.

30 users are using the solution, and we are planning to touch 100users mark.

I rate the solution’s scalability a seven or eight out of ten.

We used multiple other solutions, including Google Looker Studio, Quicksight, Superset, and Google Sheets dashboards. We wanted to consolidate all data, so we switched to Sisense.

Migrating our data to Sisense was not easy since we were in a very busy period, and there were some issues during the first few months. This prompted us to look for a super site and other solutions. We were able to figure things out with the support of the Sisense team. It was a painful process, but we are happy with the results.
The deployment took around two months and four or five people to complete.

I rate the initial setup a three out of ten, where one is difficult and ten is easy.

The solution is not affordable for small businesses. It is cheaper for at least mid-stage startups to large scale. To get additional add-ons and plug-ins built by Sisense, we would need to purchase them as an extra package. There are also some extra costs associated with adding new profiles to Sisense.

I rate the product’s pricing a nine out of ten, where one is cheap and ten is expensive.

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.

My current position is as a Senior Consultant. I sell Sisense to my customers in Thailand. It is used for reporting and as an analytic dashboard.

The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions.

Sisense has a lot of feature functionality in the form of AI which helps with data analytics.

I would like Sisense to improve its performance, particularly when we are dealing with large-scale data.

I have been using Sisense for three years.

Sisense is stable.

The solution is scalable as it can access data that has more than 100,000,000 loads. 

Technical support at Sisense is good.

The initial setup of Sisense is quite easy. We use two people at each site to maintain the solution.

The entire deployment of the solution can take up to four months.

Sisense's return on investment depends on the point of view of the customer. It needs to be measured from the existing environment. If you are currently not using anything for analytic purposes, it will be very good. However, if you use other products, this solution may not be as good.

Sisense's pricing is based on an annual subscription of approximately $35,000 USD. It is a bit more expensive when compared to other products like QlikView, Tableau, or Power BI. However, these solutions price functionality separately if you select all the features. Sisense is less expensive.

I have evaluated Board International. Sisense is faster than that solution.

I would rate the solution a nine out of 10 overall.

We use the solution for data modeling and visualization to build dashboards for our healthcare product.

The solution is very intuitive, easy to use and learn. Even a new user can quickly understand and implement it.

The solution's setup process could be easier.

The solution was stable during POC.

The solution's technical support team is good.

Positive

The solution's initial setup process was complex. We had to collaborate with its support team quite a few times while executing it. I rate the process a five out of ten.

Collaborating with the solution's support team would simplify the setup process.

I rate the solution a six out of ten.