Hiring a HiveQL developer comes with numerous advantages and can significantly contribute to the successful performance of your business. HiveQL developers are adept at handling big data, providing the ability to manage and analyze large datasets that are stored in Hadoop's distributed storage with great efficiency.

The primary advantage is their proficiency in Hive Query Language, which is similar to SQL, enabling them to quickly adapt to the environment and perform data querying tasks with ease. This can lead to faster, more efficient data analysis, saving time and resources. Their deep understanding of HiveQL also allows for the creation of complex data processing pipelines, resulting in more sophisticated analyses and insights.

Another advantage is their expertise in data warehousing solutions on top of Hadoop. They can help design and implement efficient data storage systems, ensuring data is accessible, reliable, and secure. This can lead to improved data quality and integrity.

HiveQL developers also bring a high degree of scalability to your operations. They can help build systems that scale smoothly and efficiently with your data, ensuring your analytics capabilities can grow with your business. This makes them a valuable asset in today's data-driven business environment.

Lastly, their knowledge of other Hadoop ecosystem tools like Pig, HBase, and YARN can provide a more holistic approach to data management and processing, offering a comprehensive solution to your big data needs.