Sisense vs Keboola Connection

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

Sisense is a Business & Commerce solution with tags like analytics, dashboards, data-visualization.

It boasts features such as 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 pros including 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.

On the other hand, Keboola Connection is a Business & Commerce product tagged with etl, data-pipeline, data-transformation.

Its standout features include Drag-and-drop interface for building data pipelines, Pre-built components for common data sources and transformations, Orchestration for scheduling and automating workflows, Transformation code editor for custom scripts and algorithms, Centralized data catalog for managing schemas and metadata, Visual data explorer for ad-hoc SQL queries, REST API and SDKs for developer integration, Collaboration features for sharing projects and permissions, Secure data encryption and access controls, and it shines with pros like Intuitive UI for non-technical users, No coding required for basic workflows, Scales to handle large data volumes, Fast time-to-value compared to custom coding, Broad set of pre-built connectors and transformations, Collaboration friendly for teams, Strong security and governance capabilities.

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.

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


Keboola Connection

Keboola Connection

Keboola Connection is a cloud-based data integration platform that allows you to easily connect, transform, and analyze data from various sources. It provides an intuitive drag-and-drop interface to build data pipelines without writing code.

Categories:
etl data-pipeline data-transformation

Keboola Connection Features

  1. Drag-and-drop interface for building data pipelines
  2. Pre-built components for common data sources and transformations
  3. Orchestration for scheduling and automating workflows
  4. Transformation code editor for custom scripts and algorithms
  5. Centralized data catalog for managing schemas and metadata
  6. Visual data explorer for ad-hoc SQL queries
  7. REST API and SDKs for developer integration
  8. Collaboration features for sharing projects and permissions
  9. Secure data encryption and access controls

Pricing

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

Pros

Intuitive UI for non-technical users

No coding required for basic workflows

Scales to handle large data volumes

Fast time-to-value compared to custom coding

Broad set of pre-built connectors and transformations

Collaboration friendly for teams

Strong security and governance capabilities

Cons

Can get expensive for large complex projects

Limited customization compared to custom coding

Not as performant as hand-optimized data pipelines

Proprietary platform locks you in

Steep learning curve for advanced features

Limited capabilities for real-time or streaming data