What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in big data processing and distribution systems category. Our data sources in big data processing and distribution systems category include;
Big data processing and distribution systems are tools used for collecting, storing, distributing, and managing big data in different formats (structured or unstructured) in real time. These systems can manage big data across different machines from a centralized point to enable data managers and analysts to access data from any device for analysis and maintenance.
If you’d like to learn about the ecosystem consisting of Big Data Processing And Distribution Systems and others, feel free to check AIMultiple Data.
AIMultiple is data driven. Evaluate 71 services based on
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calculated based on objective data.
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We use the data sources on the side for ranking solutions and awarding badges in big data processing and distribution systems category. Our data sources in big data processing and distribution systems category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Qlik Catalog
Databricks
Snowflake
Cloudera
Google BigQuery
Taking into account the latest metrics outlined below, these are the current big data processing and distribution systems market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Google BigQuery
Qlik Catalog
Databricks
Snowflake
Cloudera
These are the number of queries on search engines which include the brand name of the solution. Compared to other Data categories, Big Data Processing And Distribution Systems is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 65%, 11% more than the average of search queries in this area.
2,566 employees work for a typical company in this solution category which is 2,545 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 35 companies with >10 employees are offering big data processing and distribution systems. Top 3 products are developed by companies with a total of 400k employees. The largest company building big data processing and distribution systems is Google with more than 200,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Qlik Catalog
Databricks
Cloudera
Snowflake
Equinix Data Hub
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Big Data Processing And Distribution Systems companies. The most positive word describing Big Data Processing And Distribution Systems is “Easy to use” that is used in 5% of the reviews. The most negative one is “Difficult” with which is used in 2.00% of all the Big Data Processing And Distribution Systems reviews.
According to customer reviews, most common company size for big data processing and distribution systems customers is 1,001+ employees. Customers with 1,001+ employees make up 47% of big data processing and distribution systems customers. For an average Data solution, customers with 1,001+ employees make up 45% of total customers.
These scores are the average scores collected from customer reviews for all Big Data Processing And Distribution Systems. Big Data Processing And Distribution Systems is most positively evaluated in terms of "Overall" but falls behind in "Likelihood to Recommend".