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    Sisense Fusion Analytics Platform

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    Sold by: Sisense 
    Deployed on AWS
    Build AI-driven data products that deliver 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

    Sisense Fusion Analytics Platform

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (3)

     Info
    Dimension
    Description
    Cost/12 months
    Essentials
    Sisense Essentials package
    $40,000.00
    Advanced
    Sisense Advanced package
    $69,000.00
    Pro
    Sisense Pro package
    $109,000.00

    Vendor refund policy

    All payments are non-refundable

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    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

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    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
    In-context analytics integration within applications to deliver action-oriented insights
    AI-Powered Analytics
    AI-driven analytics capabilities for generating insights and enhancing decision intelligence
    Custom Data Integration
    Seamless integration of analytics across business systems and data sources
    Insight Generation Engine
    Analytics engine designed to produce actionable insights for decision-making
    Natural Language Query Interface
    Search and query data using natural language processing to ask business questions and receive answers without requiring SQL expertise.
    Multi-Platform Data Connectivity
    Compatible with major cloud data platforms including Amazon Redshift, Snowflake, Databricks, Google BigQuery, and Azure Synapse.
    Flexible Data Modeling
    Support for multiple data modeling approaches including dbt, LookML, SQL, and a UI-based editor for defining data structures.
    Interactive Dashboard Creation
    Ability to create personalized, interactive Liveboards with drill-down capabilities for exploring data at multiple levels of detail.
    Embedded Analytics SDK
    API-based embedding capability allowing integration of search and analytics functionality into applications, portals, and products with minimal code implementation.
    Data Modeling Capabilities
    Build data models using SQL or interactive query-based approach with point-and-click UI and spreadsheet-style formulas
    Shared Data Model Architecture
    Combines consistency of a shared data model with SQL query flexibility for unified analytics
    Visualization and Metrics
    Out-of-the-box visualizations with customization capabilities to define and communicate key business metrics
    Content Distribution and Sharing
    Securely share analytics content via URL, scheduled reports, or embedded integration into line of business applications
    Unified Analytics Platform
    Single platform for data analysis, metric definition, visualization, and customer-facing data product development

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.2
    1027 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    52%
    37%
    7%
    2%
    1%
    6 AWS reviews
    |
    1021 external reviews
    External reviews are from G2  and PeerSpot .
    Elliot M.

    Seamless White-Label Embedded Analytics That Scales with Us

    Reviewed on Mar 12, 2026
    Review provided by G2
    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.
    Tong D.

    Flexible yet Lacks Specific Report Control

    Reviewed on Mar 10, 2026
    Review provided by G2
    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.
    Lily Rose

    Automated analytics have transformed our KPI tracking and now drive faster data‑driven decisions

    Reviewed on Mar 04, 2026
    Review from a verified AWS customer

    What is our primary use case?

    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.

    What is most valuable?

    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.

    What needs improvement?

    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.

    For how long have I used the solution?

    I have been using Sisense for approximately five years.

    What do I think about the stability of the solution?

    Sisense is very stable.

    What do I think about the scalability of the solution?

    Sisense is highly scalable.

    How are customer service and support?

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

    How would you rate customer service and support?

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

    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.

    What was our ROI?

    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.

    What other advice do I have?

    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.

    Which deployment model are you using for this solution?

    Hybrid Cloud

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

    Miriam Beatrice

    Interactive dashboards have transformed our KPI tracking and now guide data-driven decisions

    Reviewed on Feb 17, 2026
    Review from a verified AWS customer

    What is our primary use case?

    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.

    What is most valuable?

    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.

    What needs improvement?

    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.

    For how long have I used the solution?

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

    Which other solutions did I evaluate?

    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.

    What other advice do I have?

    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.

    Which deployment model are you using for this solution?

    Public Cloud

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

    Gemipas Micah

    Unified finance dashboards have accelerated data-driven decisions and improved forecasting

    Reviewed on Feb 13, 2026
    Review from a verified AWS customer

    What is our primary use case?

    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.

    What is most valuable?

    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.

    What needs improvement?

    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.

    For how long have I used the solution?

    I have been using Sisense for the past five years.

    What do I think about the stability of the solution?

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

    What do I think about the scalability of the solution?

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

    How are customer service and support?

    Sisense customer support is proactive and responsive.

    How would you rate customer service and support?

    Positive

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

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

    How was the initial setup?

    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.

    What about the implementation team?

    I purchased Sisense through the AWS Marketplace .

    What was our ROI?

    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.

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

    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.

    Which other solutions did I evaluate?

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

    What other advice do I have?

    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.

    Which deployment model are you using for this solution?

    Hybrid Cloud

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

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