What do you like best about the product?

Sisense is a powerful and flexible business intelligence (BI) platform known for its ability to handle complex data modeling and provide scalable analytics. It supports both live and in-chip (ElastiCube) data models, offering versatility depending on performance and latency needs.

The platform excels in embedding analytics, making it ideal for companies that want to offer white-labeled dashboards or integrate insights directly into customer-facing applications. The drag-and-drop UI is user-friendly for business users, while developers and data teams can leverage custom SQL, Python/R scripts, and APIs for more advanced needs.

Sisense’s Live Data Models connect directly to cloud data warehouses like Snowflake, BigQuery, and Redshift, allowing real-time insights without needing to move data. However, performance can depend heavily on how well the models are designed and how queries are structured.

Pros:

Strong embedded analytics capabilities

Flexible data modeling with Live and ElastiCube options

Scalable architecture suitable for large datasets

Customization via APIs, plugins, and scripting

What do you dislike about the product?

Cons:

Steeper learning curve for advanced features

What problems is the product solving and how is that benefiting you?

Embedding Analytics into Products: Sisense makes it easy to embed interactive dashboards and reports directly into web apps or SaaS platforms. This helps companies offer data-driven features to their customers without building BI tools from scratch.

Handling Complex Data Modeling at Scale: Sisense supports both live connections and in-memory models, allowing teams to manage and analyze large, complex datasets across multiple sources without sacrificing performance.