📄️ FlexFlow Data Flows
Nexla’s FlexFlow data flow type is recommended for use in most workflows. This flow type uses the Kafka engine to facilitate seamless high-throughput movement of data from any source to any destination.
📄️ DB-CDC Data Flows
DB-CDC (Database–Change Data Capture) data flows use CDC to replicate tables across databases and/or cloud warehouses. This flow type runs on the Kafka engine and is designed for use with data is stored in multiple locations, where any changes to the data in one store need to be duplicated into another store.
📄️ Spark ETL Data Flows
Spark ETL data flows are designed for rapidly modifying large volumes of data stored in cloud databases or Databricks and moving the transformed data into another cloud storage or Databricks location. This flow type uses the Apache Spark engine and is ideal for large-scale data processing wherein minimizing latency in data movement is a critical need.
📄️ Replication Data Flows
Replication data flows are designed for use in workflows that require high-speed movement of unmodified files between storage systems. They can also be used to conduct high-speed cloning of individual tables between cloud data warehouses. This flow type is best suited for use when both retaining file structure and transferring data as quickly as possible are critical.
📄️ ELT Data Flows
ELT data flows are streamlined for seamless movement of unmodified data from APIs into databases and data warehouses. With minimal configuration required, these flows can be set up rapidly and effortlessly to support ELT workflows.
📄️ DirectFlow Data Flows
DirectFlow data flows are designed for high-throughput point-to-point data processing wherein minimizing data processing latency is a critical need. This flow type is ideal for use in batch processing with non-streaming data sources & destinations.
📄️ BYO Data Flows
BYO data flows allow users to incorporate custom runtimes that define every aspect of a data flow, providing the flexibility of tailored data processing with all of the operational benefits of the Nexla platform. This enables highly specialized data processing to suit specific needs.
📄️ RAG Data Flows
RAG data flows provide a simplified way for organizations to harness the information synthesis power of GenAI & LLMs to intelligently query their data—from inventory & customer review data to sensitive/protected datasets and much more—with rapidly generated responses presented in natural, easy-to-understand language. These flows can be used to power user- and customer-facing applications such as chatbots, providing an easy interactive experience in which user questions are answered quickly and accurately.