Companies using HiveQL by The Apache Software Foundation in 2025
As of 2025, 331 verified companies use HiveQL – across industries, company sizes, and geographies. This is real, verified data. Whether you’re looking to analyze the market, build a target list, or get a sales edge – this is your starting point.
What is HiveQL by The Apache Software Foundation?
HiveQL by Apache is a SQL-like query language for querying and managing large datasets residing in distributed storage. It is widely used in data warehousing and big data analytics. It is beneficial for data analysts, data scientists, and database administrators in various industries that rely on big data processing.
Last updated date
Number of Companies using
331
The majority are based in the
United States
Most common industry?
Finance
HiveQL’s sample user list in 2025
We have data on 331 companies that use HiveQL. Our HiveQL customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
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HiveQL users and customers by country
2.6K Companies
2.6K Companies
2.6K Companies
2.6K Companies
Where HiveQL Shows Up Most
HiveQL is used across a wide range of sectors:
Finance
Business Services
Software
Manufacturing
Banking
From lean startups to global enterprises, HiveQL’s footprint is wide, and that means opportunity.

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FAQs
Contact UsHow latest this data is?
This data is updated on August 17, 2025
What is HiveQL?
HiveQL is a SQL-like query language developed by Apache for querying and managing large datasets residing in distributed storage.
What is HiveQL used for?
It is used for data warehousing, big data processing, and analytics.
Who uses HiveQL?
Data analysts, data scientists, and database administrators use HiveQL across various industries.
How many companies are using HiveQL in 2025?
As of 2025, 331 verified companies are using HiveQL.
Which country uses HiveQL the most?
The United States is the leading country in HiveQL usage.