--- title: Data Management weight: 18 partition: build --- ## Data Management Integrations | Integration | Description | | ------------------------------- | -------------------------------------------------------------------------------------------------- | | [Airbyte](/documentation/data-management/airbyte/) | Data integration platform specialising in ELT pipelines. | | [Airflow](/documentation/data-management/airflow/) | Platform designed for developing, scheduling, and monitoring batch-oriented workflows. | | [Connect](/documentation/data-management/redpanda/) | Declarative data-agnostic streaming service for efficient, stateless processing. | | [Confluent](/documentation/data-management/confluent/) | Fully-managed data streaming platform with a cloud-native Apache Kafka engine. | | [DLT](/documentation/data-management/dlt/) | Python library to simplify data loading processes between several sources and destinations. | | [Fluvio](/documentation/data-management/fluvio/) | Rust-based platform for high speed, real-time data processing. | | [Fondant](/documentation/data-management/fondant/) | Framework for developing datasets, sharing reusable operations and data processing trees. | | [MindsDB](/documentation/data-management/mindsdb/) | Platform to deploy, serve, and fine-tune models with numerous data source integrations. | | [NiFi](/documentation/data-management/nifi/) | Data ingestion platform to manage data transfer between different sources and destination systems. | | [Spark](/documentation/data-management/spark/) | A unified analytics engine for large-scale data processing. | | [Unstructured](/documentation/data-management/unstructured/) | Python library with components for ingesting and pre-processing data from numerous sources. |