Keboola Connection vs Pentaho

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

Keboola Connection is a Business & Commerce solution with tags like etl, data-pipeline, data-transformation.

It boasts features such as 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 pros including 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.

On the other hand, Pentaho is a Business & Commerce product tagged with data-integration, analytics, reporting, data-mining, workflow.

Its standout features include Data integration and ETL, Analytics and reporting, Data visualization, Dashboards, Data mining, Workflow capabilities, Big data support, and it shines with pros like Open source and free, Large community support, Highly customizable and extensible, Supports wide variety of data sources, Scalable for large data volumes, Good for small to medium businesses.

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.

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


Pentaho

Pentaho

Pentaho is an open source business intelligence (BI) suite that provides data integration, analytics, reporting, data mining, and workflow capabilities. It is designed for use by businesses to unify data for analytics.

Categories:
data-integration analytics reporting data-mining workflow

Pentaho Features

  1. Data integration and ETL
  2. Analytics and reporting
  3. Data visualization
  4. Dashboards
  5. Data mining
  6. Workflow capabilities
  7. Big data support

Pricing

  • Open Source
  • Subscription-Based

Pros

Open source and free

Large community support

Highly customizable and extensible

Supports wide variety of data sources

Scalable for large data volumes

Good for small to medium businesses

Cons

Steep learning curve

Limited native mobile support

Not as feature rich as paid BI tools

Lacks some advanced analytics capabilities

Can be resource intensive for large deployments