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Data Flow Types

Nexla offers multiple data flow types with tailored & streamlined flow creation processes for scenarios spanning from complex real-time streaming to simple replication and many more. Click the tiles below to learn more about our flow types to help you choose and create the best data flow for your workflow.

Data Flow Guides

Recommended

FlexFlow

The most flexible data flow type, supporting all available connectors and providing maximum customization options.

DB-CDC

Change Data Capture flows for real-time database replication and synchronization.

Spark ETL

High-performance ETL processing using Apache Spark for large-scale data transformations.

Replication

Simple replication flows for copying data from source to destination with minimal processing.

ELT

Extract, Load, Transform flows that load data first, then apply transformations.

DirectFlow

High-throughput point-to-point data processing with minimal latency.

BYO Flow

Bring Your Own flow type for custom data processing workflows.

RAG

Retrieval-Augmented Generation flows for AI and machine learning applications.

Why Choose FlexFlow?

FlexFlow is our recommended flow type for most data workflows because it offers:

Universal Compatibility: Works with all available connectors
Maximum Flexibility: Supports both streaming and batch processing
Easy Configuration: Simple setup with powerful customization options
High Performance: Built on Kafka for seamless high-throughput data movement
Future-Proof: Adapts to changing data requirements without rebuilding flows

Need Help Choosing?

Not Sure Which Flow Type?

Start with FlexFlow for most use cases, or contact our team for personalized recommendations based on your specific requirements.

Start with FlexFlow

Need Support?

Our team is here to help you choose the right flow type and get your data workflows up and running quickly.

Contact Support

Data Flow Guides
Why Choose FlexFlow?
Need Help Choosing?