Tableau Prep vs Sisense

Struggling to choose between Tableau Prep and Sisense? Both products offer unique advantages, making it a tough decision.

Tableau Prep is a Business & Commerce solution with tags like data-preparation, data-cleaning, data-transformation.

It boasts features such as Visual interface for data preparation, Connects to various data sources, Joins data from multiple sources, Cleans and shapes data, Adds calculations and aggregations, Creates data extracts and outputs and pros including Intuitive drag and drop interface, Automates repetitive data prep tasks, Great for data discovery and profiling, Seamless integration with Tableau Desktop, Scalable to large datasets.

On the other hand, Sisense is a Business & Commerce product tagged with analytics, dashboards, data-visualization.

Its standout features include Drag-and-drop interface for building dashboards, Connects to wide variety of data sources, Embedded advanced analytics like statistical, predictive modeling, etc, Interactive visualizations and dashboards, Collaboration tools to share insights across organization, Supports large and complex datasets, Customizable to specific business needs and workflows, Mobile and web access, and it shines with pros like Intuitive interface for non-technical users, Quick and easy data preparation, Powerful analytics capabilities, Great performance with large datasets, Flexible pricing options, Broad compatibility with data sources, Collaboration and sharing features.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Tableau Prep

Tableau Prep

Tableau Prep is a data preparation tool that allows you to combine, shape, and clean data for analysis. It provides an easy-to-use visual interface to perform tasks like joining data sources, pivoting data, cleaning data, etc.

Categories:
data-preparation data-cleaning data-transformation

Tableau Prep Features

  1. Visual interface for data preparation
  2. Connects to various data sources
  3. Joins data from multiple sources
  4. Cleans and shapes data
  5. Adds calculations and aggregations
  6. Creates data extracts and outputs

Pricing

  • Subscription-Based

Pros

Intuitive drag and drop interface

Automates repetitive data prep tasks

Great for data discovery and profiling

Seamless integration with Tableau Desktop

Scalable to large datasets

Cons

Limited advanced transformation capabilities

Steep learning curve for complex tasks

Not ideal for production-level data pipelines

Requires purchase of Tableau Desktop license


Sisense

Sisense

Sisense is a business intelligence and data analytics platform that provides tools for non-technical users to easily prepare, analyze and visualize complex data. It allows users to connect multiple data sources, build interactive dashboards and share insights across the organization.

Categories:
analytics dashboards data-visualization

Sisense Features

  1. Drag-and-drop interface for building dashboards
  2. Connects to wide variety of data sources
  3. Embedded advanced analytics like statistical, predictive modeling, etc
  4. Interactive visualizations and dashboards
  5. Collaboration tools to share insights across organization
  6. Supports large and complex datasets
  7. Customizable to specific business needs and workflows
  8. Mobile and web access

Pricing

  • Subscription-Based
  • Pay-As-You-Go
  • Custom Pricing

Pros

Intuitive interface for non-technical users

Quick and easy data preparation

Powerful analytics capabilities

Great performance with large datasets

Flexible pricing options

Broad compatibility with data sources

Collaboration and sharing features

Cons

Steep learning curve for advanced features

Limited customization options for dashboards

Requires additional licensing for some data connectors

Not ideal for small or simple datasets

Can be expensive for larger deployments