Effortless ETL solutions designed to streamline your data workflows, enabling smarter, faster, and more reliable pipelines.
Leverage the power of Spark for scalable data processing, locally or on robust clusters.
Access a reliable and verifiable codebase, ensuring trust and authenticity in your ETL processes.
Automatically detect and handle data types for seamless and accurate data processing.
Track and analyze every step of your data pipeline with granular logs.
Fetch data on demand from any API source, tailored to your workflow needs.
Run your ETL pipelines seamlessly on-premise, in the cloud, or hybrid setups.
Transform datasets with Python or Spark SQL, combining flexibility with performance.
Enable smart suggestions for optimal configuration, saving time and improving accuracy.
Define and manage custom schema types tailored to your specific data needs.
Feature | Basic | Pro | Enterprise |
---|---|---|---|
Free Full Load ETL | ✅ | ✅ | ✅ |
Scheduled Timing | ✅ | ✅ | ✅ |
User Interface (UI) | ✅ | ✅ | ✅ |
Logging | ✅ | ✅ | ✅ |
Integration History | ✅ | ✅ | ✅ |
Batches | ✅ | ✅ | ✅ |
Distributed Spark Computing (Configurable) | ✅ | ✅ | ✅ |
NaN Value Replacement Based on Data Type | ✅ | ✅ | ✅ |
Views (ID mapping and data attachment) | ❌ | ✅ | ✅ |
Support | ❌ | ✅ | ✅ |
Dedicated Machine for Running the App | ❌ | ✅ | ✅ |
Custom Schema Declarations | ❌ | ✅ | ✅ |
Python-Based Transformations | ❌ | ✅ | ✅ |
Permission-Based Users | ❌ | ✅ | ✅ |
Dtype Casting | ❌ | ✅ | ✅ |
Custom Development | ❌ | ❌ | ✅ |
If the Basic version of OpenETL isn't quite cutting it for you, fear not! We're here to help. If you require additional functionality, customizations, or have specific requirements, reach out to us.
Email: sales.team@dataomnisolutions.com
Location: Shahrah-e-Faisal Road, Block 6,
Karachi, Sindh, PK