We have data on 6,983 companies that use Apache Hive. The companies using Apache Hive are most often found in United States and in the Information Technology and Services industry. Apache Hive is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Apache Hive usage goes back as far as 8 years and 10 months.
If you’re interested in the companies that use Apache Hive, you may want to check out MySQL and Microsoft SQL Server as well.
Company | Infosys Ltd |
Website | infosys.com |
Country | India |
Revenue | >1000M |
Company Size | >10000 |
Company | Fujitsu Ltd |
Website | fujitsu.com |
Country | Japan |
Revenue | >1000M |
Company Size | >10000 |
Company | Panasonic Corp |
Website | panasonic.com |
Country | Japan |
Revenue | >1000M |
Company Size | >10000 |
Company | eBay Inc. |
Website | ebay.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Cornell University |
Website | cornell.edu |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Infosys Ltd | infosys.com | India | >1000M | >10000 |
Fujitsu Ltd | fujitsu.com | Japan | >1000M | >10000 |
Panasonic Corp | panasonic.com | Japan | >1000M | >10000 |
eBay Inc. | ebay.com | United States | >1000M | >10000 |
Cornell University | cornell.edu | United States | >1000M | >10000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Database Management System. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. 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:
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.
Looking at Apache Hive customers by industry, we find that Information Technology and Services (24%), Computer Software (12%) and Financial Services (6%) are the largest segments.
62% of Apache Hive customers are in United States and 8% are in India.
Of all the customers that are using Apache Hive, 18% are small (<50 employees), 37% are medium-sized and 45% are large (>1000 employees).
Of all the customers that are using Apache Hive, 35% are small (<$50M), 16% are medium-sized and 46% are large (>$1000M).