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    Sisense Fusion Analytics Platform | Ai-Powered Analytics

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    Sold by: Sisense 
    Deployed on AWS
    Sisense Fusion Analytics Platform offers AI-powered analytics for AI-driven data products, delivering insights to outperform competitors.
    4.2

    Overview

    Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence. For custom orders through private offers, proof of concepts, or custom trial terms, please reach out to your dedicated Sisense representative or email us at awssales@sisense.com 

    Highlights

    • Differentiate your products, create new revenue streams and increase stickiness with embedded AI-powered analytics for your customers.

    Details

    Sold by

    Delivery method

    Deployed on AWS
    New

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    Buyer guide

    Gain valuable insights from real users who purchased this product, powered by PeerSpot.
    Buyer guide

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote. Sign in to view any offers that have been extended to you.

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    Usage information

     Info

    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Customer Success Manager: Each client is assigned a main focal point to business planning, training and other related questions. Support: Questions or assistance required after onboarding are submitted through our central ticketing systems. Online Training is available on-demand. Sisense Community: Managed forums provide clients a community to pose a question

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    10
    In Analytic Platforms, Data Analytics, Business Intelligence & Advanced Analytics
    Top
    10
    In Analytics, Data Warehouses
    Top
    25
    In Data Governance, Business Intelligence & Advanced Analytics

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    API-First Architecture
    Platform designed with API-first approach enabling seamless integration of analytics capabilities within applications
    Embedded Analytics
    Capability to embed in-context analytics directly within applications for action-oriented insights
    AI-Powered Analytics
    Analytics engine powered by artificial intelligence for generating insights and data-driven recommendations
    Data Integration
    Seamless integration of analytics across business systems and applications for unified data analysis
    Decision Intelligence
    Analytics platform designed to enhance decision-making capabilities through integrated insights and analytics
    Agentic AI Analysis
    Spotter agentic AI analyst answers plain-language questions with multi-step reasoning and conversational interface for self-service analytics at scale.
    Automated Visualization Creation
    SpotterViz generates complete, story-driven Liveboards from a single prompt with real-time, interactive data views.
    Multi-Cloud Data Warehouse Compatibility
    Runs live against cloud data warehouses including Amazon Redshift, Snowflake, Databricks, Google BigQuery, and Azure Synapse.
    Row-Level Data Governance
    Enterprise-grade security and row-level governance controls maintained across all analytics operations and self-service access.
    Semantic Layer Architecture
    Built-in semantic model that provides governed metrics and ensures consistency across analytics queries and AI-generated answers
    Conversational AI Analytics
    Natural language processing capability enabling users to ask AI questions and receive trusted answers without requiring SQL knowledge
    Git Integration and Version Control
    Git-based integration with branching, content validation, and version history for managing changes to semantic models and analytics content
    Excel Workflow Integration
    Native Excel spreadsheet compatibility allowing users to perform financial modeling, forecasting, and exploratory analysis within the platform
    Software Development Lifecycle Features
    CICD pipeline support, content validation, and developer workflows for safely testing and deploying model changes across environments

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.2
    1074 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    51%
    38%
    8%
    2%
    1%
    7 AWS reviews
    |
    1067 external reviews
    External reviews are from G2  and PeerSpot .
    Bryan J.

    Excellent for analyzing information and creating dashboards

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    ITS ABILITY TO ANALYZE INFORMATION FOR CREATING DASHBOARDS
    What do you dislike about the product?
    AS OF TODAY, THERE IS NOTHING I DISLIKE; IT IS VERY COMPLETE SOFTWARE
    What problems is the product solving and how is that benefiting you?
    IT HELPS ME GENERATE REPORTS AND KPIs FOR THE AUTOMOTIVE INDUSTRY
    reviewer2924103

    Self-service client analytics has improved automation but still needs better performance and reliability

    Reviewed on Nov 09, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Sisense is that we typically use it as a self-service tool for our clients inside our platform, allowing our users to look at their data through Sisense and generate dashboards, reports, etc.

    One specific example of how a client might use Sisense within our platform is that we would embed Sisense directly in our platform and give them access to their data through the ElastiCubes that pointed to the data in the platform, enabling users to easily browse their data.

    How has it helped my organization?

    Sisense has positively impacted my organization by allowing us to show data to our clients in a more effective way.

    It helped reduce manual work, but the downside is that it was very buggy most of the time, requiring a lot of time to fix issues related to Sisense.

    What is most valuable?

    The best features Sisense offers are that it is very configurable and allows, from a DevOps or backend perspective, the ability to modify or edit almost everything directly with its API, which is very useful for controlling ElastiCubes reports.

    The API flexibility made things easier for my team, as we automated almost everything; for example, creating new data sets for clients during provisioning was very straightforward, which was not the case with other tools where we had to create more workarounds for the same level of automation.

    What needs improvement?

    Sisense can be improved by having more documentation since it was sometimes very hard to find answers for visualizations or the computational engine, especially when creating complex formulas; usually, answers were found in the Sisense community portal.

    Regarding needed improvements, performance-wise, we had a tenant with a huge database and often received errors in the visualizations due to not being able to query the model correctly, which happened almost every time.

    For how long have I used the solution?

    I used Sisense for around a year before we shifted to Power BI earlier this year.

    What do I think about the stability of the solution?

    In my experience, Sisense is not stable.

    What do I think about the scalability of the solution?

    Sisense's scalability was good, but we encountered a few issues.

    How are customer service and support?

    The customer support was good; they usually responded fast, but sometimes it was challenging because our use case was really different from other clients, making it hard to share or help them reproduce the error.

    I would rate the customer support an eight.

    Which solution did I use previously and why did I switch?

    We switched recently to Power BI because of the infrastructure issues we were having with Sisense, and maintaining Sisense was a pain; we opted for something more reliable that users know or have more experience with.

    What was our ROI?

    I wouldn't be able to give you relevant metrics regarding return on investment, as I haven't seen any measurable benefits such as saving money or reducing staff hours.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing was good.

    Which other solutions did I evaluate?

    I don't recall evaluating other options before choosing Sisense, but I think Heap and Power BI may have been among those considered.

    What other advice do I have?

    On a scale of one to 10, I would rate Sisense a six.

    I chose a six because of all the performance issues and bugs related to making it work correctly for users, which often left us unsure of the underlying issue, making debugging very hard.

    My advice for others reading reviews on PeerSpot and looking into using Sisense is that if you don't have a multi-tenant solution, it could be a good option, but multi-tenancy can complicate things.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Vishal C.

    Easy Data Analysis and Powerful Business Insights

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about Sisense is its user-friendly interface, strong data visualization capabilities, and its ability to turn complex data into meaningful insights. It makes reporting simpler, supports better decision-making, and helps teams collaborate and work more efficiently.
    What do you dislike about the product?
    One thing I dislike about Sisense is that some of its more advanced features can be hard to understand, especially for beginners. The initial setup can also take a while, and I’ve run into occasional performance issues when working with large datasets, which can impact the overall experience.
    What problems is the product solving and how is that benefiting you?
    Sisense helps me solve the challenge of managing and analyzing data from different sources. It makes it easier to build reports, track business performance, and understand trends over time. As a result, I save time, make better decisions, and get useful insights faster.
    Information Technology and Services

    Straightforward Interactive Dashboards with Powerful, Embeddable Analytics

    Reviewed on Nov 08, 2026
    Review provided by G2
    What do you like best about the product?
    Creating interactive dashboards is straightforward and efficient.

    It integrates with multiple data sources and offers powerful data visualization and reporting. I also like the option to embed analytics within web applications.

    Widgets and dashboards are highly customizable, with dynamic filters and drill-down functionality that make it easier to explore the data. Real-time data analysis is possible as well, depending on how the data is configured.

    On top of that, it supports REST API and a JavaScript SDK, and it includes scheduled reports along with automated insights.
    What do you dislike about the product?
    Complex Elasticube configuration and data modeling can make the initial setup feel challenging.

    Advanced customization often requires JavaScript knowledge, which adds a learning curve if you’re not already familiar with it.

    Troubleshooting dashboard and widget issues can also be difficult, since debugging isn’t always straightforward.

    Some of the default visualizations feel limited in flexibility, which can make it harder to get exactly the presentation you want.
    What problems is the product solving and how is that benefiting you?
    Scattered data: Brings together information from multiple databases and applications into one place.

    Manual reporting: Cuts down the need to prepare reports manually.

    Lack of visibility: Improves visibility by helping businesses monitor performance through interactive dashboards.

    Slow decision-making: Makes key business information easy to access quickly, supporting faster decisions.

    Complex data analysis: Turns raw data into clear charts, graphs, and KPIs that are easier to understand.
    HUGO NAIM F.

    Full Integration and White Label with Powerful APIs and SDKs

    Reviewed on Nov 06, 2026
    Review provided by G2
    What do you like best about the product?
    Its full integration and white label allow customization of colors, fonts, logos, and visual styles so that dashboards don't look like a pasted report. It also features powerful tools for developers such as robust APIs, modern SDKs, and simplified management for multiple clients, as you can have multiple tenants in a single model, so to speak, and it also offers centralized maintenance.
    What do you dislike about the product?
    The pricing scheme is high and not transparent as it comes in a quote model, there are no public prices, and licenses are often measured by capacity. Its complexity and rigidity for the end user are also drawbacks, as it lacks real self-service and creates a constant dependency on yourself.
    What problems is the product solving and how is that benefiting you?
    Integrating the system saves a lot of money and time compared to creating your own. The system also makes analytics look 100% native and allows defining security rules at the row level and centralized data governance, enabling better system control and management.
    View all reviews