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.
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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 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.
You choose one of three packages: Essentials, Advanced, or Pro. Each is a contract tier billed by units. The packages form a layered structure, so moving from Essentials to Advanced to Pro expands the analytics capabilities included. You buy the tier that matches your needs, and pricing scales with the units you commit to. All three cover the same core platform for building and embedding AI-powered analytics. Because these are contract-based, you commit for a set term rather than paying per hour or by usage.
Top-of-mind questions for buyers
What does a 'unit' represent for billing across the Essentials, Advanced, and Pro packages?
Each package is billed by units under a contract commitment. The marketplace listing does not define what one unit maps to in concrete terms. To confirm whether a unit means a user, an environment, or another measure, contact the vendor before you commit.
How do the Essentials, Advanced, and Pro packages differ in what capabilities I get?
All three packages cover the same core platform for building and embedding AI-powered analytics. Higher packages add capabilities such as multi-tenant architecture, column-level security, SSO, bring-your-own-LLM support, and white-labeling. You pick the package matching the security, deployment, and AI features your team needs.
Is this billed hourly or as a fixed commitment, and how does cost scale?
This is a contract product, so you commit for a set term rather than paying per hour or by usage. Within your chosen package, cost scales with the number of units you commit to. Increasing units raises your commitment; the tier itself sets the included capabilities.
Request a private offer to receive a custom quote.
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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.
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 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.
Platform designed with API-first approach enabling seamless integration of analytics capabilities within applications
Embedded Analytics Capability
Support for embedding analytics directly within applications to provide in-context insights
AI-Powered Analytics Engine
Artificial intelligence-driven analytics functionality for generating insights and decision intelligence
Custom Data Integration
Ability to integrate analytics across diverse data sources within business applications
Decision Intelligence
Analytics platform designed to enhance decision-making through action-oriented insights
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.
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
Version Control and Git Integration
Git integration with branching, content validation, and version history features for managing changes to semantic models and analytics content
Embedded Self-Service Analytics
Self-service analytics capabilities including conversational AI, spreadsheet workflows, and customizable user interfaces with CSS and markdown support
Governance and Access Control
Governed data access mechanisms that maintain consistency and trustworthiness while enabling widespread self-service exploration and AI querying
Sisense provides advanced reporting solutions for our clients and helps fill gaps in what’s available through our standard in-product reports.
What do you dislike about the product?
There’s a known delay in data refresh between our platform and Sisense. While it isn’t terrible, it can still create issues when building reports, reviewing or adjusting platform data, and then validating the final dashboard or widget results.
What problems is the product solving and how is that benefiting you?
Sisense solves the limitations of our in-platform reporting.
Automotive
Sisense is a great tool competent data analysis
Reviewed on Jun 01, 2026
Review provided by G2
What do you like best about the product?
The visualisations are clear and easy to generate, dashboards can be shared with users, or automated out as emails. Performance is good, with data builds compiling quickly. We were able to integrate successfully with our system on items such as SAP inputs, and active directory SSO for logins. Support always respond in a short time, and our technical consultant always has methods to achieve our business goals. Subscription costs seem way cheaper than rivals such as Tableau.
What do you dislike about the product?
Elasticubes can get very complex, and visually our logic is difficult to see. Other ETLs I have used work more like a flow, where descriptions/labels can be added at each part of the process. Line numbers added to SQL queries would be good, making error analysis easier.
What problems is the product solving and how is that benefiting you?
We are able to quickly see operational trends and issues, compiling our business metrics automatically..
Retail
Powerful Data Combination and Manipulation, in a Polished Package
Reviewed on May 28, 2026
Review provided by G2
What do you like best about the product?
Caching data using Elasticubes gives the ability to stack multiple data and columns on top of each other, allowing for complex custom data pulling from many different areas than software directly querying your data. Being able to connect to many different sources helps bring data together. Our customers really like the look and feel of Sisense.
What do you dislike about the product?
While the platform is generally stable and free of major bugs, more minor bugs do crop up with release versions and may go unresolved for multiple releases.
What problems is the product solving and how is that benefiting you?
Sisense helps our customers visualise the data we collect for them. It's flexability and customisability always allows us to meet the clients needs & expectations.
Darragh M.
Straightforward UI, Seamless Integrations, and Helpful Support
Reviewed on May 27, 2026
Review provided by G2
What do you like best about the product?
The UI/UX is straightforward and easy to use, both for building dashboards and for creating or modifying Elastic Cubes. Integrations have worked seamlessly for our organisation. Support is readily available, and there’s also a solid amount of documentation online when we need it.
What do you dislike about the product?
Performance is the only real gripe I have with Sisense. Cube builds don’t perform well when they’re handling heavy data loads.
What problems is the product solving and how is that benefiting you?
It allows us to build custom reports in a timely manner using the data we capture in our system.
Farming
Developer-First AI Analytics That Makes Embedding in SaaS Easy
Reviewed on May 26, 2026
Review provided by G2
What do you like best about the product?
Embedding analytics into SaaS products developer-first AI analytics
What do you dislike about the product?
Dashboard UX feels dated memory-heavy and slowness
What problems is the product solving and how is that benefiting you?
Eliminates need of large ETL developers, data engineers etc. Tenant level Customization Sisense enables us to transform large volumes of farm, weather, satellite, operational, and supply-chain data into actionable insights for customers.