No more typing reviews! Try our Samantha, our new voice AI agent.

CONNX Data Visualization vs Sisense comparison

 

Comparison Buyer's Guide

Executive Summary

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

CONNX Data Visualization
Ranking in Data Visualization
53rd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Sisense
Ranking in Data Visualization
10th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
45
Ranking in other categories
BI (Business Intelligence) Tools (13th), Cloud Analytics (4th), Reporting (9th), Embedded BI (6th)
 

Mindshare comparison

As of August 2026, in the Data Visualization category, the mindshare of CONNX Data Visualization is 0.6%, up from 0.1% compared to the previous year. The mindshare of Sisense is 2.4%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Sisense2.4%
CONNX Data Visualization0.6%
Other97.0%
Data Visualization
 

Featured Reviews

Use CONNX Data Visualization?
Leave a review
Vishal Halbe - PeerSpot reviewer
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.
report
Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.
908,800 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Construction Company
13%
Financial Services Firm
11%
Comms Service Provider
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise7
Large Enterprise15
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Overview

 

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
Find out what your peers are saying about Salesforce, Splunk, SAP and others in Data Visualization. Updated: August 2026.
908,800 professionals have used our research since 2012.