Cube vs Sisense comparison

Read 45 Sisense reviews

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95% willing to recommend

Cube

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Cube and Sisense based on real PeerSpot user reviews.

Find out in this report how the two Embedded BI solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cube vs. Sisense Report (Updated: September 2026).

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Cube vs. Sisense

September 2026

Helped 913,683 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Cube

Ranking in Embedded BI

10th

Average Rating

8.4

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

AI Data Analysis (19th)

Sisense

Ranking in Embedded BI

6th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (13th), Cloud Analytics (4th), Reporting (9th), Data Visualization (11th)

Mindshare comparison

As of September 2026, in the Embedded BI category, the mindshare of Cube is 0.8%, up from 0.4% compared to the previous year. The mindshare of Sisense is 5.7%, up from 5.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Embedded BI Mindshare Distribution
Product	Mindshare (%)
Sisense	5.7%
Cube	0.8%
Other	93.5%

Embedded BI

Featured Reviews

Amir Hassan

Data Scientist / Data Analytics Consultant at Fiverr International Ltd

Managing complex data hierarchies has improved analytics but still needs richer hierarchy types

To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

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Vishal Halbe

System Integration Specialist at a non-profit with self employed

Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders

Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."

"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."

"Cube's caching mechanism impacts my database query loads and response times significantly."

"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."

"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."

"Sisense can do both in a much much faster way, which drives our reporting efficiency into another level."

"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."

"We are now able to increase our visibility into our business beyond the canned reports available in our ERP (NetSuite) and provide actionable, timely insight to our leadership."

"Ability to work with very large data sources without the limitations of Excel."

"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."

"Overall I think, it is a fantastic value-for-money analysis tool and I would absolutely recommend it to anyone who looks for a up-to-date BI solution that can be customized to your specific needs."

"Sisense's documentation and video tutorials were thorough and helpful in starting off with the basic usage of the product."

More Sisense pros

Cons

"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."

"There is no way to create a real template that is not exposed directly in the UI."

"Cube can be improved by enhancing data refresh over multiple tabs."

"I did not see any return on investment from Cube."

"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."

"Sisense doesn't have connections with statistical packages like R, SAS, etc."

"Some flexibility with the labeling of visualizations would be nice."

"The document is definitely a sore spot as well as the limited inner join functionality of the cubes."

"The administrative side of Sisense is a little cumbersome and confusing."

"The solution's setup process could be easier."

"I would like to see more development and growth for the support of Knowledge Base and Community forums."

"The only thing I am missing is the option to plug in any data from any source easily since Sisense only offers a limited amount of supported data providers."

"I would say that using Sisense on Linux's platform might not be advantageous for everyone."

More Sisense cons

Pricing and Cost Advice

Information not available

"Compared to Power BI or Tableau, Sisense is much more expensive."

"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."

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Top Industries

By visitors reading reviews

Construction Company

25%

Comms Service Provider

17%

Manufacturing Company

10%

Healthcare Company

Construction Company

13%

Financial Services Firm

10%

Comms Service Provider

10%

Outsourcing Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	7
Large Enterprise	16

Questions from the Community

What is your experience regarding pricing and costs for Cube?

The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.

What needs improvement with Cube?

What is your primary use case for Cube?

In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...

What needs improvement with Sisense?

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 ...

What is your primary use case for Sisense?

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-driv...

What is your experience regarding pricing and costs for Sisense?

My experience with pricing, setup cost, and licensing has been positive, as the price is relatively affordable compared to other solutions, and I have no challenges with the pricing. The setup is s...

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Product Reports

Download Cube product report

Cube

September 2026

Download Sisense product report

August 2026

Overview

Cube offers a dynamic business intelligence platform tailored for efficient data transformation and analytics. Engineered for scalability and performance, Cube adapts to complex data environments, enhancing data accessibility and operational insights.

Cube facilitates seamless integration into existing data ecosystems, bringing enhanced data processing capabilities to businesses. Utilized by companies seeking streamlined analytical processes, Cube's architecture supports custom data transformations while ensuring consistent data delivery. Its flexibility allows implementation across varied data sources, improving decision-making and operational efficiency.

What are the key features of Cube?

Data Modeling: Tailor data structures for business needs with ease.
Scalability: Handles increasing data loads efficiently.
Custom APIs: Provides REST and GraphQL APIs for versatile data interaction.
Caching Layer: Speeds up query performance significantly.
Security: Offers robust access controls for data protection.

What benefits should be expected from using Cube?

Improved Efficiency: Streamlines data management and analytics tasks.
Cost Reduction: Lowers operational costs by enhancing data processing.
Enhanced Decision-Making: Provides actionable insights faster.
Operational Flexibility: Adapts to evolving business requirements.

In industries like finance and retail, Cube is implemented to optimize data flow and analytics processing. Its features support complex data requirements, allowing these industries to improve market responsiveness and operational strategies.

Cube Dev

Sisense enables data visualization and analytics with ease of use and fast setup, effectively integrating different data sources for efficient decision-making.

Sisense provides an intuitive platform for companies to handle data visualization and advanced analytics without requiring extensive technical knowledge. Quick deployment, custom dashboard creation, and seamless embedding are supported by an API-first approach. It allows integration of data from multiple databases, enhancing speed through in-chip methodology and real-time updates. Users benefit from its ElastiCube Manager and reduced deployment time, contributing to data-driven decisions. Comprehensive documentation supports users in navigating potential challenges.

What are the key features of Sisense?

Ease of Use: Facilitates quick data visualizations without technical expertise.
ElastiCube Manager: Allows custom data management and dashboard creation.
API-First Approach: Enhances integration flexibility across databases.
Real-Time Updates: Ensures timely and accurate data insights.
In-Chip Methodology: Optimizes processing speed and performance.

What benefits should users expect from Sisense?

Reduced Deployment Time: Accelerates analytics implementation.
Data-Driven Decisions: Facilitates informed decisions with comprehensive insights.
Customer Support: Provides reliable assistance and documentation.

Sisense is commonly used across industries such as product development, sales, and marketing to deliver tailored analytics and dashboards for diverse departmental needs. Organizations leverage Sisense's capabilities for embedding analytics, optimizing financial models, and improving sales strategies. Its intuitive interface allows non-technical teams to efficiently handle and derive insights from large datasets.

Sample Customers

Information Not Available

Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo