StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Business Intelligence
  4. Business Intelligence
  5. Holistics vs Sisense

Holistics vs Sisense

OverviewComparisonAlternatives

Overview

Holistics
Holistics
Stacks20
Followers34
Votes0
Sisense
Sisense
Stacks50
Followers66
Votes0

Holistics vs Sisense: What are the differences?

Key Differences between Holistics and Sisense

1. Pricing Structure:

Holistics offers a flexible pricing structure based on the number of users, while Sisense follows a per-user pricing approach. This means that with Holistics, organizations can easily scale up or down their user base without incurring additional costs, whereas Sisense charges for each individual user.

2. Data Modeling and ETL:

Holistics provides a comprehensive data modeling and ETL (Extract, Transform, Load) tool that allows users to build complex data pipelines, automate data transformations, and create advanced data models. On the other hand, Sisense offers limited capabilities in this area, which may require users to rely on external tools or manual processes for data preparation.

3. Embedded Analytics:

Holistics offers robust capabilities for embedding analytics and report sharing, allowing users to seamlessly integrate reports and visualizations within their own applications or websites. In contrast, Sisense provides basic embedding features that may not meet the advanced needs of businesses requiring a rich, white-label embeddable analytics solution.

4. Natural Language Processing (NLP):

Holistics leverages NLP technology to enable users to query data using natural language, making it easier for non-technical users to explore and analyze data without needing SQL knowledge. Sisense, on the other hand, lacks comprehensive NLP capabilities, which may make it more challenging for non-technical users to interact with the data.

5. Customizable Dashboards:

Holistics allows users to design highly customizable dashboards, offering flexibility in layout, styling, and interactivity. In contrast, Sisense provides limited customization options for dashboards, which may restrict users from achieving a desired visual and functional experience.

6. Multi-Platform Support:

Holistics offers broader multi-platform support, allowing users to connect and analyze data from various databases and cloud data sources, including Google BigQuery, Amazon Redshift, and more. Sisense, while providing connectivity options to popular data sources, may not offer as wide-ranging support, potentially limiting data source compatibility for users.

In Summary, Holistics offers flexible pricing, advanced data modeling and ETL capabilities, extensive embedding options, NLP functionality, customizable dashboards, and broad multi-platform support, while Sisense follows a per-user pricing model, has limited data modeling and ETL features, basic embedding capabilities, lacks comprehensive NLP functionality, provides limited dashboard customization options, and may offer narrower multi-platform support.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Holistics
Holistics
Sisense
Sisense

It is a cloud based business intelligence (BI) application with integrated data reporting and preparation tools. It connects to your databases and helps you get the data-driven insights you need.

It is making business intelligence (BI) analytics easy with its simple drag-and-drop and scalable end-to-end BI processes that help to prepare, analyze, and visualize multiple complex datasets quickly.

Build real-time, interactive dashboards using SQL; Combine data from different sources; Send report emails to external partners; White-label Embedded Analytics
Complex business queries without programming or SQL writing; Removes limitations to data size; Intuitive 'script-less' user interface; Consolidates, stores and accumulates data; Data mash-ups; Can be set up and used entirely in-house; Handles data at scale on a single commodity server.
Statistics
Stacks
20
Stacks
50
Followers
34
Followers
66
Votes
0
Votes
0
Integrations
PostgreSQL
PostgreSQL
Amazon RDS
Amazon RDS
MariaDB
MariaDB
Amazon Redshift
Amazon Redshift
Presto
Presto
MySQL
MySQL
TimescaleDB
TimescaleDB
Snowflake
Snowflake
AtScale
AtScale
Vertica
Vertica
Dremio
Dremio
DataRobot
DataRobot
Trifacta
Trifacta
SAP HANA
SAP HANA

What are some alternatives to Holistics, Sisense?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope