Sisense Fusion Analytics Platform

What do you like best about the product?

Our Sisense support team is invested in our success.

What do you dislike about the product?

Reliability of the service is sometimes lacking

What problems is the product solving and how is that benefiting you?

We need a BI layer. It fulfills that role for us.

What do you like best about the product?

We've been using Sisense for a few years now to embed analytics directly into our platform and the experience has been really positive. The ability to white-label dashboards and integrate them into our own product via the Compose SDK means our customers get a seamless analytics experience that feels native to what we've built. The flexibility to work with both live connections and ElastiCube models has been really valuable as our data architecture has evolved. The AI features like natural language querying are something our users genuinely get excited about. It's a platform that has scaled well with us and the support team has been responsive whenever we've needed them.

What do you dislike about the product?

Like any complex platform, there is a learning curve when you first get started, particularly around data modelling and the initial setup of embedded environments. Some of the more advanced configurations can take time to get right, and it's worth investing in onboarding properly to get the most out of it early on. Documentation has improved a lot over the years, but occasionally you need to dig a little deeper or lean on support for more niche use cases. These are fairly minor points for a platform of this depth and they haven't taken away from the overall experience.

What problems is the product solving and how is that benefiting you?

The main problem Sisense solves for us is the ability to deliver analytics directly inside our product without having to build and maintain our own BI layer from scratch. Before Sisense, every new report or dashboard required significant engineering time, which slowed down our product roadmap and created ongoing technical debt. Sisense has taken that burden away entirely. Our customers now get a seamless, white-labelled analytics experience inside our platform, and our engineering team can focus on what they do best. The scalability has also been a huge benefit, as our user base has grown, Sisense has grown with us. The addition of AI features like natural language querying has been a bonus, making data more accessible to our less technical users and genuinely adding value to our product offering.

What do you like best about the product?

I appreciate the flexibility Sisense provides by allowing me to incorporate JavaScript at both the dashboard and widget level. This feature gives me more control over how widgets interact with other elements on the dashboard. I also found the initial setup to be pretty easy. The user interface and pricing were factors that influenced our switch to Sisense from Looker.

What do you dislike about the product?

There's no widget level control for sending reports - it sends data for all the widgets on a dashboard.

What problems is the product solving and how is that benefiting you?

I use Sisense to create a dynamic widget with custom field selection using JavaScript, allowing more control over widget interactions on the dashboard.

In our organization, we use Sisense  for business intelligence where it helps us with complex data from multiple sources and provides excellent insights, which makes it easy for us to make data-driven decisions. Sisense  has solved major issues such as lack of actionable analytics, and we primarily use Sisense for tracking all of our key performance indicators and optimizing our sales pipelines for the future.

It provides actionable insights for decision making across sales, operations, and finance, and it is also an excellent tool for creating interactive dashboards that non-technical users can navigate. Sisense helps us monitor performance metrics and make decisions quickly when appropriate.

It helps us create reports for better understanding of our business workflows.

We are able to build dashboards for sales, marketing, and operations easily.

Mashing up data from dozens of sources for a complete view of our business is the feature my team and I rely on the most because whether data is in the cloud, on-premises, or a mix of both, Sisense gives us everything needed to successfully deliver on our analytics applications strategy today, allowing us to make data-driven decisions easily.

Some of the robust features that Sisense offers include securely connecting and ingesting data into cloud data warehouses to create a single store for our data, and it can mash up data from dozens of sources for a complete view of our business workflows and processes. Sisense can leverage a combination of live or cached data models to optimize performance and manage resource utilization. It helps to develop and white-label with ease using a full suite of APIs and developer toolkits.

Sisense is an excellent tool that provides actionable insights for decision-making across sales, operations, and finance; it is excellent for creating interactive dashboards that even non-technical users can navigate.

So far, Sisense is performing well, but some visualizations lack flexibility in design options.

Sisense should improve on handling extremely large data sets, and they should improve on maintaining high and reliable performance at all times.

I have been using Sisense for approximately five years.

Sisense is very stable.

Sisense is highly scalable.

Sisense customer support is very helpful, very responsive, and very dedicated, providing 24/7 assistance.

I previously used Qlik, Qlik Sense , and Microsoft Power BI .

The reason we switched from Microsoft Power BI  and Qlik Sense  to Sisense is because each tool has its strengths, but Sisense stands out for its ease of use, scalability, and robust data integration. We chose Sisense for its balance of robust functionality and ease of use.

Sisense has been an excellent tool in positively impacting our organization through automated reporting, which has reduced manual data processing, enabling our teams to focus on core tasks and hence save considerable costs for us. We have been able to save approximately 10,000 K. Implementation and training required upfront investment in time and resources.

Automation of tedious and time-consuming tasks has saved our team from wasting considerable time, allowing them to focus on other strategic areas for improvement. The productivity has greatly increased while time and costs have been saved.

Handling very large data sets makes it somewhat slow in performance, temporarily impacting efficiency.

Sisense is very reliable and the support makes it an invaluable asset to achieving our business goals efficiently. Through automation, it has saved us considerable time and we have been able to focus on more strategic tasks, hence saving time and costs.

Sisense may be an overkill sometimes if our team with simple data needs is overwhelmed with the results. Handling extremely large data sets, for example in marketing teams or in the finance department, makes it sometimes slower in performance, which is somewhat frustrating. Overall, Sisense is a very recommendable tool. I have rated this review as a nine out of ten.

Hybrid Cloud

Amazon Web Services  (AWS )

In my organization, we use Sisense  for business intelligence, and it helps us with complex data from multiple sources and provides excellent insights, which makes it easy for us to make data-driven decisions.

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.

Sisense has numerous valuable features to offer, with the fastest being its in-chip methodology, where large quantities of data can be loaded in a few seconds, which does not seem possible with other tools.

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.

There are some functionalities missing regarding built-in capabilities, which can only be added by using JavaScript, requiring technical knowledge from the dashboard designer to implement.

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.

I have been using Sisense for four years and a few months.

Sisense can process more data and has consistently better performance than other modern business intelligence tools, successfully retaining the best of the cube world and providing the power of a modern in-chip visualization engine, making it more valuable than other alternatives we evaluated in my organization.

My advice for others looking into using Sisense is that it is well-suited for rapid data mashup for massive data sets and self-service business intelligence deployment with a very smooth user experience. I give this product a rating of eight out of ten.

Public Cloud

Amazon Web Services  (AWS )