A low-code/no-code engineering utility to build and deploy Data pipelines
Connectors
- Relational
- Database Connectors
- Cloud Data Warehouse Connectors
- NoSQL Database Connectors
- Cloud Storage Connectors
- Lake House Connectors
- Mainframe Data Connectors
Transformations
Data transformation is a core capability of our platform, converting raw data into actionable data products that empower organizations to perform advanced analytics. This process ensures your data is clean, standardized, and optimized for insights, driving informed decision-making across your business.
Data Cleansing: Eliminate errors and inconsistencies for accurate and reliable data.
Data Standardization: Ensure consistent formatting across all data sets.
Data Enrichment: Enhance your data with additional information for deeper insights.
Data Aggregation: Summarize data to identify trends and patterns.
Data Filtering: Focus on relevant data subsets for targeted analysis.
Data Integration: Combine data from multiple sources into a unified view.
Data Conversion: Adapt data formats to meet specific application needs.
Data Reduction: Simplify and compress data for efficient processing.
Data Mapping: Align data fields to a common schema for seamless integration.
SQL Import
Flexibility
Craft complex SQL queries to meet specific data engineering needs, including filtering, joining, and aggregating data from multiple sources.
Efficiency
Streamline the ETL process by directly importing and transforming data using SQL, reducing the need for intermediary steps.
Scalability
Handle large datasets and sophisticated data workflows with ease, leveraging the power of SQL to optimize performance.
Customization
Tailor data imports to your unique requirements, ensuring that the data is perfectly aligned with your analytical objectives.
This capability is ideal for data engineers who need advanced control over their data pipelines, enabling them to build robust and efficient data solutions.
Scheduler
Automation
Schedule pipelines to run automatically, reducing the need for manual oversight and ensuring timely data processing.
Flexibility
Set schedules based on your business needs, whether it's hourly, daily, weekly, or custom intervals.
Reliability
Monitor and manage pipeline execution with built-in notifications and error handling to ensure that your workflows run smoothly.
Scalability
Handle complex, large-scale data workflows with ease, supporting the continuous flow of data across your systems.
