2025 Sisense Reviews: Is It Worth It, Pros & Cons & Alternatives

Key takeaways:

• Sisense is powerful, but complex. It offers strong BI capabilities but comes with high costs, a steep learning curve, and long implementation times.
• Embedded analytics is not its strength. While Sisense supports embedding, it lacks deep customization and flexibility compared to purpose-built solutions.
• Better alternatives exist. Platforms like Qrvey provide a no-code, multi-tenant solution for seamless, scalable embedded analytics.
• Choosing the right tool depends on your needs. If you need advanced self-service BI for internal use, Sisense might work, but for embedded analytics with multi-tenant requirements, Qrvey is the better fit.

Are you considering implementing Sisense for embedded analytics in 2025? Have you been evaluating the  alternative options for embedded analytics? With so many options in this noisy market, it’s easy to feel overwhelmed. 

The TL;DR? Sisense remains a powerful tool, but it’s not necessarily the best fit for every business and use case. 

While it excels in robust data analysis, some users report concerns around pricing, complexity, scalability, and limitations and pains around customization. 

But we’ve got you covered. In this extensive Sisense review, we’ll discuss its main pros and cons. We’ll also compare it with top competitors and help you decide if it’s the right solution for your needs—or if a better alternative is out there.  

Our Verdict 

Sisense has strong data analysis, AI, and real-time data capabilities. It’s most powerful when used for internal BI at your company. It also has a level of complexity that creates some critical setbacks. 

So, is it the right solution for your business? That depends. If you’re looking for an enterprise-scale implementation for data analysis, it may be a good choice.

In contrast, if you’re looking for a flexible platform that focuses on powerful embedded analytics, then there are better options for your business out there. 

Pros	Cons	Pricing	Rating
– Strong data analysis- Advanced embedding capabilities	– Pricing- Complexity and steep user learning curves	Request a quote.	3.5 stars

Full Sisense Review

Sisense is a powerful end-to-end business intelligence (BI) platform that helps businesses process large datasets and integrate them into workflows. 

It offers strong data handling and flexible deployment options. But many users often report challenges when using the platform. Let’s see why. 

First, it is not easy to use and requires extensive training if you’re new to BI solutions. It doesn’t help that many reviews highlight inconsistent customer service. This leads to delays in issue resolution and extended implementation processes. 

But mostly, Sisense is not the best alternative when it comes to embedded analytics, customization, and flexibility, as it was not built exclusively for these features.

Despite these downsides, Sisense remains a strong option for companies prioritizing a robust BI analytics tool. Just note that this solution is best suited for companies with technical teams ready to handle its complexities.

Businesses and Industries Sisense Works Best For 

Sisense provides a versatile analytics platform for many industries, offering tailored solutions to meet specific business needs. Let’s take a look at the main ones:

• Technology: Sisense’s embedded analytics help tech companies integrate advanced data insights into their applications. 
• Financial services: The platform turns transaction data into insights. This helps financial institutions tackle fraud, manage risk, and enhance customer experience. Yet, integrating Sisense with legacy systems often present in this industry can present challenges. 
• Healthcare: Sisense securely uses patient information from electronic medical history to help healthcare professionals make better decisions. It also helps predict waiting time in institutions and optimize resource allocation. 
• Manufacturing: It helps manufacturers optimize processes by providing insights into supply chain metrics and operational performance, supporting extensive data analysis. 
• Retail and e-commerce: Sisense helps retailers analyze sales trends and customer behaviors. This allows them to plan better data-driven campaigns in marketing and sales. 

Regardless of the industry vertical, the need for technical expertise can be a barrier for small-to-midsize companies that lack data engineers on IT teams. 

What Businesses Can Expect From Sisense 

• Strong data analysis powered by AI, integration to multiple sources, real-time capabilities, and advanced data visualization tools. Overall, it serves as a unified platform for comprehensive analysis. However, it has limited flexibility for deep customization.
• Embedded analytics—but not quite there. While Sisense provides embedding capabilities it wasn’t built for that purpose. It works well most of the time but it’s not the best alternative in the market. 
• Complex setup and steep learning curve. Sisense is a robust platform with comprehensive features that typically require time and technical expertise to master. This can be manageable for big teams, but it can also be a hurdle for smaller ones. 

Key Features

Product Feature	Description
Data Modeling and Connectivity	Easily combine data from different sources.
Embedding	Enables  embedding of analytics within products. However, since it wasn’t built specifically for embedding, it lacks the flexibility and deep personalization of purpose-built solutions.
Composability	Provides Compose SDK for embedding and customization of analytics within applications, allowing developers to align with basic design and UX guidelines.
Generative AI	Integrates generative AI to assist in data modeling, exploration, and understanding. This provides conversational analytics and simplifies complex tasks.
Security	Offers a secure analytics solution with certifications like SOC 2 Type II, ISO 27001, and ISO 27701, ensuring data privacy and compliance.
Cloud Deployment	Offers cloud deployment for collaboration and access to the latest updates optimized for cloud environments.

Pros of Sisense

• Data integration. Sisense gathers data from different sources and unifies it into a single platform, providing a single centralized analytics hub.
• Real-time data analysis. The platform’s BI technology provides fast, accurate, real-time data analysis. ​
• AI-powered analytics. The platform uses AI-driven insights and natural language queries to simplify data assessment. This makes analytics more accessible and easy to explore. 
• Flexible deployment options. Businesses can choose between on-premise, cloud, or hybrid deployment based on their needs.
• Embedding capabilities. It allows developers to embed analytics into their products or applications. While this is not one of its strongest product offerings, it still offers the possibility to do it. 
• Strong security and compliance: Sisense holds many compliance certifications, such as ISO 27001. It also adheres to strict security standards, ensuring data privacy. 

Cons of Sisense

• Long implementation times. If you’re hurried to get started, this is not the solution for you. Users report that it takes too long to implement, as back-end setup requires technical expertise. 
• Complexity and steep learning curve. Sisense can be complex, which leads to longer training times, slower user adoption, and difficulty getting around the platform. 
• High costs for small businesses. Sisense’s pricing can be a barrier for small and medium-sized businesses. Other cost-effective alternatives offer similar analytics features, making data tools more accessible.
• Limited customization for embedded solutions. It lacks the deep customization needed for embedded analytics. Some businesses require highly tailored interfaces, personalized experiences, and custom-built features.
• Integration challenges with specialized systems. Sisense integrates well with common data sources. However, organizations using niche or legacy systems may encounter difficulties. 
• Scaling complexities. Sisense can handle large data sets, but it may not be enough for fast-growing businesses, like SaaS companies. When that’s the case, users report performance slowdowns, integration challenges, and rising costs as they scale.

​Qrvey addresses these challenges with a scalable, multi-tenant analytics solution purpose-built for SaaS companies. Additionally, its unlimited licensing model ensures cost-effectiveness as you scale. This makes advanced analytics accessible without escalating expenses.

What are the Best Sisense Alternatives?

If you’re exploring some alternatives to Sisense, here are some options to consider.

1. Qrvey

Qrvey is an embedded analytics platform built exclusively for SaaS companies. It offers scalable, secure, multi-tenant capabilities without the complexities and hidden costs of general purpose BI tools. 

Sisense provides embedded analytics but falls a little short on performance, customization, and ease of use. Qrvey, in contrast, enables no-code embedding, full control with deep styling and feature customization, and seamless integration with API-first approach.

Key features

So, what sets Qrvey apart? Let’s explore Qrvey vs. Sisense in more detail:

Powerful embedded analytics experience:

This is Qrvey’s main standout point. It integrates fully interactive dashboards, self-service reporting, and AI-driven insights directly within applications, enhancing user experience.  

Qrvey customers benefit from:

• Embedded dashboards
• End-user personalization and complete white labeling
• Embedded automation builder
• API-driven embedding for seamless integration
• Full self-service analytics that are easy to use and maintain
• Customizable UI to match your brand’s identity
• Elastic scalability to handle growing data needs
• Unlimited users at one fixed cost

No-code automation for data workflows:

Qrvey empowers teams with no-code automation to unify, transform, and process data efficiently. This avoids heavily relying on technical teams while also maximizing agility and scalability. 

• Workflow triggers automate data collection and transformation
• Integrated data preparation tools power real-time insights
• AI-powered enrichment to surface trends or build charts automatically

Infrastructure and security:

Built for modern cloud environments, Qrvey ensures enterprise-level security with robust access control, compliance standards, and scalable infrastructure to support complex data needs.  

• Fully deployed to your cloud environment
• Native multi-tenant setup
• Cloud-native scalability
• All-in-one platform equipped with all features
• Native ETL service
• Built-in data lake
• Unlimited environments

Pricing

Qrvey offers flexible, straight-forward pricing tailored to your organizational needs. This makes it ideal for SaaS providers. 

Instead of traditional per-user pricing, Qrvey’s unlimited user pricing model includes all features—from scalable embedded analytics tools supporting multi-tenancy to automation and content deployment.

Where Qrvey shines

• Built exclusively for embedded analytics. Qrvey is designed to seamlessly integrate into your SaaS product while offering full control over data, users, and experiences. This ensures more flexibility and better product performance. 
• Multi-tenant analytics solution. Built to support SaaS providers with multi-tenancy, it allows secure data segregation, customizable user experiences, and efficient resource management—all from one single deployment.  
• Less development effort. Compared to Sisense, Qrvey provides a no-code, full-stack solution to simplify complex data processes, streamline automation, and embed analytics with ease. In short— faster development, fewer headaches.

Where Qrvey falls short 

• It’s more than dashboards: Qrvey is mainly designed for companies that need fully customizable, interactive embedded analytics, not just standalone dashboards. In those cases, other low cost tools may be a better fit. 

Although, as SaaS companies scale and user needs get more specialized, Qrvey becomes the best choice. 

Customer reviews

“In comparison with other solutions, Qrvey really offers an array of robust features that makes it easy to implement. The ability to embed the visualizations into different platforms easily really is a major plus too”. – Alia A., verified G2 user

Who Qrvey is best for 

• SaaS companies that require multi-tenant embedded analytics
• Large enterprises that want to offer a customizable white label analytics solution within their internal software solutions. 
• Product teams looking for API-driven, automated analytics without the complexity

2. Tableau

If you’re looking for advanced data visualization capabilities, Tableau might be a good choice for you. 

This is a leading business intelligence and data visualization platform that helps organizations analyze and share insights from their data.

It’s known for its intuitive drag-and-drop interface, interactive dashboards, self-service analytics, and AI-powered insights. 

Just note, if multi-tenancy and full white-labeling customization are critical requirements for your embedded analytics solution, Tableau cannot deliver.

Key features:

• Drag-and-drop functionality to build dashboards without coding.
• Real-time data updates for live, interactive reporting.
• Customizable charts, graphs, and maps to explore trends visually.
• AI-powered analytics with Ask Data.
• Works with business apps like Salesforce, Google Analytics, and Microsoft Excel.

Who is Tableau best for:

• Departments that rely on real-time insights, predictive analytics, and customizable dashboards, like Marketing, Finance, and Operations.
• Companies require enterprise-level reporting, multi-source data integration, and governance controls.

3. Qilk

Qilk is a business intelligence and data analytics platform known for its associative data engine, which allows users to explore data connections dynamically. It provides a mix of self-service analytics, embedded BI, and AI-powered insights to help businesses make data-driven decisions.

Key Features:

• Associative data model to freely explore data connections 
• Augmented analytics with AI for faster decision-making.
• APIs and integration capabilities for embedded analytics.
• Multi-cloud deployment— cloud, on-premise, and hybrid environments.
• Connects with various data sources, including real-time streaming data.

Who Qilk is best for:

• Enterprises that require AI-powered insights and flexible deployment options.
• Organizations needing powerful data exploration beyond traditional dashboards.

Final Thoughts on Sisense: Is It Worth It? 

Sisense is a powerful BI tool with strong data integration, AI-driven insights, and scalable analytics. However, its complexity, high cost, and long implementation times can be barriers for many businesses.

When it comes to embedded analytics, Sisense offers integration capabilities. That said, it wasn’t designed specifically for this purpose. Therefore, customization and flexibility may be limited, and little is known about whether Sisense is continuing to innovate and update their embedded offering. 

This makes it less ideal for SaaS companies needing deeply embedded, multi-tenant ready, white-labeled solutions.

Seeking a true embedded analytics solution with no-code automation and multi-tenancy? If that’s the case, alternatives like Qrvey provide a more seamless and scalable experience. 
Discover how Qrvey’s embedded analytics can transform your business—book your demo today!