We have data on 260 companies that use Azure Data Lake Analytics. The companies using Azure Data Lake Analytics are most often found in United States and in the Computer Software industry. Azure Data Lake Analytics is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Azure Data Lake Analytics usage goes back as far as 3 years and 10 months.
If you’re interested in the companies that use Azure Data Lake Analytics, you may want to check out Snowplow and Informatica as well.
Company | Lorven Technologies |
Website | lorventech.com |
Country | United States |
Revenue | 10M-50M |
Company Size | 50-200 |
Company | CONFIDENTIAL RECORDS, INC. |
Website | confidentialrecordsinc.com |
Country | United States |
Revenue | 0M-1M |
Company Size | 1-10 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Lorven Technologies | lorventech.com | United States | 10M-50M | 50-200 |
CONFIDENTIAL RECORDS, INC. | confidentialrecordsinc.com | United States | 0M-1M | 1-10 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Big Data. 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 Big Data category, Azure Data Lake Analytics has a market share of about 0.1%. Other major and competing products in this category include:
Azure Data Lake Analytics is the cloud serverless job-based analytics service where you can easily develop and run massively parallel data transformation and processing programmes in U-SQL, R, Python and .Net over petabytes of data.
Looking at Azure Data Lake Analytics customers by industry, we find that Computer Software (18%) and Information Technology and Services (15%) are the largest segments.
72% of Azure Data Lake Analytics customers are in United States and 9% are in United Kingdom.
Of all the customers that are using Azure Data Lake Analytics, a majority (56%) are large (>1000 employees), 12% are small (<50 employees) and 28% are medium-sized.
Of all the customers that are using Azure Data Lake Analytics, a majority (54%) are large (>$1000M), 33% are small (<$50M) and 6% are medium-sized.