Companies using Apache Hive

We have found 2,502 companies that use Apache Hive. Our data for Apache Hive usage goes back as far as 2 years and 1 months.

68% of Apache Hive customers are in United States and 6% are in India. Of all the companies that are using Apache Hive, 19% are small (<50 employees), 39% are medium-sized and 37% are large (>1000 employees). Looking at Apache Hive customers by industry, we find that Computer Software (25%) and Information Technology and Services (13%) are the largest segments.

Did you know that Apache Hive customers are also likely to use Apache Oozie and Apache Hbase?

Who uses Apache Hive?

Here are the top companies that use Apache Hive :
Logo Company Website Signal Strength Scan Date
Logo of Tata Consultancy Services, Apache Hive client Tata Consultancy Services tcs.com 2017-06-16
Logo of Hortonworks Inc, Apache Hive client Hortonworks Inc hortonworks.com 2017-06-16
Logo of Facebook, Apache Hive client Facebook facebook.com 2017-06-16
Logo of Qubole Inc., Apache Hive client Qubole Inc. qubole.com 2017-06-16
Logo of The Apache Software Foundation, Apache Hive client The Apache Software Foundation apache.org 2017-06-16

Apache Hive Market Share and Competitors in Database Management System

We use the best scanning techniques combined with advanced data science to monitor the market share of over 5,000 technology products, including Database Management System. In the Database Management System category, Apache Hive has a market share of about 0.5%. Other major and competing products in this category include:

Market Share:

0.5%
2,502 Companies

What is Apache Hive?

The Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.