We have data on 2,883 companies that use Borland Silk. The companies using Borland Silk are most often found in United States and in the Information Technology and Services industry. Borland Silk is most often used by companies with 50-200 employees and >1000M dollars in revenue. Our data for Borland Silk usage goes back as far as 7 years and 7 months.
If you’re interested in the companies that use Borland Silk, you may want to check out Selenium and Apache Jmeter as well.
|Company||SLI SYSTEMS, INC|
|SLI SYSTEMS, INC||sli-systems.com||United States||10M-50M||10-50|
|Autozone Inc||autozone.com||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 Software Testing Tools. 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 Software Testing Tools category, Borland Silk has a market share of about 1.0%. Other major and competing products in this category include:
Silk Test is Borland's automated functional and regression testing tool. Silk Test's portability enables users to test applications more effectively with lower complexity and cost in comparison to other functional testing tools on the market. Silk Test's role based testing enables business stakeholders, QA engineers, and developers to contribute to the whole automation testing process, which drives collaboration and increases the effectiveness of software testing.
Looking at Borland Silk customers by industry, we find that Information Technology and Services (29%), Computer Software (18%) and Financial Services (5%) are the largest segments.
64% of Borland Silk customers are in United States and 6% are in India.
Of all the customers that are using Borland Silk, 19% are small (<50 employees), 39% are medium-sized and 41% are large (>1000 employees).
Of all the customers that are using Borland Silk, 46% are small (<$50M), 10% are medium-sized and 36% are large (>$1000M).