Keboola Connection vs EasyMorph

Struggling to choose between Keboola Connection and EasyMorph? 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, EasyMorph is a Office & Productivity product tagged with etl, data-cleaning, data-mapping, data-flows.

Its standout features include Drag-and-drop interface for building data transformation workflows, Support for various data sources and formats like Excel, CSV, JSON, SQL, Web APIs, Data cleansing tools for filtering, sorting, merging, splitting, pivoting, etc., Automated scheduling and execution of data integration workflows, Code generation for Python, R, VB.NET, C#, Version control and collaboration features, Web interface for monitoring executions and managing workflows, and it shines with pros like Intuitive visual interface, No coding required for basic transformations, Support for automation and scheduling, Connectivity to many data sources, Affordable pricing.

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


EasyMorph

EasyMorph

EasyMorph is a versatile data transformation and ETL tool for quickly combining, cleaning and reshaping data from various sources. It provides an intuitive visual interface for mapping data flows between sources and destinations.

Categories:
etl data-cleaning data-mapping data-flows

EasyMorph Features

  1. Drag-and-drop interface for building data transformation workflows
  2. Support for various data sources and formats like Excel, CSV, JSON, SQL, Web APIs
  3. Data cleansing tools for filtering, sorting, merging, splitting, pivoting, etc.
  4. Automated scheduling and execution of data integration workflows
  5. Code generation for Python, R, VB.NET, C#
  6. Version control and collaboration features
  7. Web interface for monitoring executions and managing workflows

Pricing

  • Freemium
  • Subscription-Based

Pros

Intuitive visual interface

No coding required for basic transformations

Support for automation and scheduling

Connectivity to many data sources

Affordable pricing

Cons

Limited transformation capabilities compared to pure ETL tools

No native support for big data sources

Steep learning curve for advanced features

Lacks enterprise-level features like role-based security