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ArkData releases version 2.0 of ‘Ark Connector', accelerating the big data market

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ArkData (CEO Ko Kwang-yeun), a company that specializes in integrated data replication solutions, released ‘Ark Connector Version 2.0' on the 25th of the month to enhance the utilization of the Kafka platform. 

 
 This upgrade highlights Arkdata's unique technology, emphasizing its differentiated features from other products. It simplifies a series of processes, from data extraction to application, by linking with the company's CDC (Change Data Capture) solution, 'Ark for CDC'. This has led to a concentrated effort on developing the Kafka platform to enhance user-friendliness, demonstrating the impact of improved operational convenience, reduced costs, and simplified system integration.
 
Not only that, but many technical changes have also been made. It enhances security by supporting various authentication systems, such as SASL and Kerberos. Additionally, it supports Schema Registry, which helps maintain consistent data structures between applications. In addition, it supports various JSON formats for handling diverse data sources and enables seamless integration with other applications. Finally, high availability of Kafka brokers can be supported through Multi-broker support, ensuring stability.
 
 Another noteworthy difference is that it supports Tibero DB, which is the only domestic database among both domestic and foreign connector products. With this feature, current Tibero DB users can effortlessly handle real-time streaming data via Kafka and deploy microservices architecture.
 
ArkData has announced that they are offering more professional support with this update, which is focused on the source connector, a producer group. The company plans to continuously develop and innovate their technology to provide the best possible service to their customers.
 
Meanwhile, ‘Apache Kafka', supported by the Ark Connector, is a message queue platform that manages various types of real-time data feeds. It offers the advantage of high throughput and low latency, making it capable of processing real-time streaming data. As a result, numerous global companies are utilizing it.
 

 

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