Discover Apache Spark Stream Processing tool - Top alternatives, customer information and buyer intent data. Compare Apache Spark with the biggest competitors in the Stream Processing market like Microsoft App-V ExtraHop etc.
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Apache Spark’s Top competitors in the stream-processing category are Microsoft App-V ExtraHop Azure Text Analytics. You can view a full list of Apache Spark competitors . Slintel uses advanced data mining and AI algorithms to track customers and . of Apache Spark and 40,000 other technologies on the internet.You can also compare Apache Spark and its feature with top competitors here : .
Majority of Apache Spark’s customers for the stream-processing category fall in the company size of 51-200 employees (1288 companies) 11-50 employees (1044 companies) 1k-5k employees (772 companies) . You can view a distribution chart of Apache Spark customers by company size .
Apache Spark has market share of 81.75% in stream-processing market. Apache Spark competes with 5 competitor tools in stream-processing category. Top alternatives for Apache Spark stream-processing tool are Microsoft App-V with 11.77% ExtraHop with 5.17% Azure Text Analytics with 0.51% market share.
Top industries that use Apache Spark for stream-processing are Big Data (438) Machine Learning (395) Artificial Intelligence (319) . Apache Spark is also used in 3 other categories like etc.
Around the world in 2021, over 5714 companies have started using Apache Spark as stream-processing tool. Companies using Apache Spark for stream-processing are majorly from United States with 2762 customers. 49.39% of Apache Spark customers are from the United States. Other top countries using Apache Spark are United Kingdom India with 392(7.01%) 324(5.79%) customers respectively.