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
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
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Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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.
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.
Legal
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.
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.
Resources
Vendor resources
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.
Updated weekly
By ThoughtSpot
By Omni Analytics
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
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
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
Standard contract
No
Customer reviews
Anonymous
Powerful embedded analytics, but speed and self-service lag behind
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
I appreciate the built-in DWH, with data security rules enforced through table relationships instead of having to apply them separately to each table. Sisense supports OEMs well, and with the Compose SDK toolkit, I can easily add things myself. It provides value for our customers and thus for us. Thanks to the multi-tenant setup, we can deploy it once and share it a hundred times, making it manageable.
What do you dislike about the product?
I find that Sisense sometimes lags in terms of speed. Users cannot assemble datasets themselves as in other tools; this is custom work for us, takes a lot of time, and requires consultant involvement. Not everything can or do we want to do. I would like users to be able to do this themselves, so they can do more on their own. We use Sisense self-hosted, so you need technical knowledge to install, maintain, and update it, as well as extensive Linux knowledge.
What problems is the product solving and how is that benefiting you?
I appreciate the built-in DWH with security rules via table relationships, good OEM support, and easy self-additions with the Compose SDK. Multi-tenancy allows us to set up once and share a hundred times, manageable and valuable for customers and us. Dataset building is custom work; self-service would allow users to do more themselves.
Hospital & Health Care
Sisense: Simplifying Business Analytics Through Interactive, User-Friendly Dashboards
Reviewed on Oct 21, 2026
Review provided by G2
What do you like best about the product?
Sisense helps me create custom data tables within the Elasticube that can then be used for analytics. It also makes it easier to build user-friendly dashboards from complex data by using functions and user-friendly widgets. Integration with an application using JWT is very straightforward. Overall, even users with limited technical knowledge can build dashboards without much difficulty.
What do you dislike about the product?
With large datasets, the time it takes to load data increases, which ends up slowing down the widgets. Overall performance could be improved. Also, when the same dataset is used across multiple dashboards, performance is impacted as well.
What problems is the product solving and how is that benefiting you?
We were previously using another tool and switched to Sisense because it helped us embed real-time dashboards for multiple organizations in a SaaS model more effectively.
Primary/Secondary Education
Fast In-Memory Elasticubes, But UI and AI Integrations Need Work
Reviewed on Oct 15, 2026
Review provided by G2
What do you like best about the product?
Elasticubes offload the data processing from our database onto the Sisense instance and the fact that it's in memory makes it fast.
What do you dislike about the product?
UI-wise it doesn't seem that great. AI integrations are limited. Elasticubes building can take up a lot of resources.
What problems is the product solving and how is that benefiting you?
Dashboards for customers is the key use case.
Hospital & Health Care
Easy to Use with Plenty of Customization Options
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
Ease of use - lots of options for customization
What do you dislike about the product?
Trying to find topics in documentation is difficult and the AI bot is really bad at answering questions
What problems is the product solving and how is that benefiting you?
It gives our clients/tenants capabilities to build their own reports so our developers can spend time on other things
Financial Services
Elasticube and Integrations Shine, with Flexible Embedded Analytics via Compose SDK
Reviewed on Oct 09, 2026
Review provided by G2
What do you like best about the product?
The ability to easily store and manage data in the Elasticube is one of Sisense's strongest features. The available integrations make data ingestion straightforward, and the Compose SDK provides a flexible and modern way to embed analytics into products. The support team has also been consistently responsive and helpful, making it easier to resolve issues and accelerate development.
What do you dislike about the product?
The UI experience could be improved, particularly when dashboards are embedded into products using iFrames, where performance can sometimes be less than optimal. While the AI capabilities show promise, the platform would benefit from broader support for AI models and deeper integrations with additional model providers to offer more flexibility and choice. Pricing should be kept optimal especially for self hosting customers.
What problems is the product solving and how is that benefiting you?
Sisense helps us rapidly develop and embed analytics experiences without having to build the entire data and visualization stack from scratch. By using the Elasticube as a centralized data backbone and the Compose SDK for embedding analytics, we can quickly create charts, dashboards, and AI-powered experiences within our products. This has significantly accelerated development, saving our team several weeks of effort while allowing us to focus on delivering business value rather than building and maintaining analytics infrastructure.