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HDFS to Apache Kafka Data Integration
The leading hybrid-cloud solution for Apache Kafka integration. Automated continuous ETL/ELT data replication from HDFS to Apache Kafka.
Whether you're managing operational reporting, connecting data for analytics, or ensuring disaster recovery, CData Sync's no-code approach to data integration simplifies the process of putting HDFS data to work.
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HDFS:
Apache Hadoop Distributed File System (HDFS) is a distributed file system designed to store and manage large volumes of data across multiple nodes in a Hadoop cluster. It provides high availability, fault tolerance, and scalability for storing and processing big data. HDFS is a key component of the Apache Hadoop ecosystem.
Apache Kafka:
Apache Kafka is an open-source distributed event streaming platform that is designed to handle high volumes of real-time data. It allows for the seamless integration of various systems and applications, enabling the efficient processing, storing, and streaming of data in a fault-tolerant and scalable manner. Kafka is widely used for building real-time data pipelines and streaming applications.
Integrate HDFS and Apache Kafka with CData Sync
CData Sync provides a straightforward way to continuously pipeline your Apache HDFS data to any database, data lake, or data warehouse, making it easily available to analytics, reporting, AI, and machine learning.
- Synchronize data with a wide range of traditional and emerging databases including Apache Kafka.
- Replicate HDFS data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
- Offload queries from HDFS to reduce load and increase performance.
- Connect HDFS to business analytics for BI and decision support.
- Archive Apache HDFS data for disaster recovery.
Integrate HDFS with Apache Kafka
HDFS Data Integration Features
Simple no-code HDFS data integration
Ditch the code and complex setups to move more data in less time. Connect HDFS to any destination with drag-and-drop ease.
Hassle-free data pipelines in minutes
Incremental updates and automatic schema replication eliminate the headaches of HDFS data integration, ensuring Apache Kafka always has the latest data.
Don't pay for every row
Replicate all the data that matters with predictable, transparent pricing. Unlimited replication between HDFS and Apache Kafka.
Other HDFS Data Integration Tools
Easily create data pipelines that integrate and replicate data from HDFS to any supported data store, including:
