Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
The top three of Apache Spark’s competitors in the Big Data Infrastructure category are Amazon Redshift with 28.35%, Cloudera with 13.56%, Amazon EMR with 12.21% market share.
The top three of Apache Spark’s competitors in the Big Data Infrastructure category are Amazon Redshift with 28.35%, Cloudera with 13.56%, Amazon EMR with 12.21% market share.
Around the world in 2023, over 14013 companies have started using Apache Spark as Big Data Infrastructure tool.
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The three top industries that use Apache Spark for Big Data Infrastructure are Big Data (988), Machine Learning (962), Artificial Intelligence (758).
The majority of Apache Spark’s customers for the big-data-infrastructure category fall in the company size of 20 - 49 employees (2656 companies), 100 - 249 employees (2530 companies), 1,000 - 4,999 employees (2267 companies).
The top three geographies of Apache Spark for big-data-infrastructure are the United States with 6347(42.49%), India with 1422(9.52%), United Kingdom with 959(6.42%) customers respectively.
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Apache Spark’s Top competitors in the big-data-infrastructure category are Amazon Redshift, Cloudera, Amazon EMR. You can view a full list of Apache Spark competitors Apache Spark vs Amazon Redshift Apache Spark vs Cloudera Apache Spark vs Amazon EMR .
. 6sense 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 :The majority of Apache Spark’s customers for the big-data-infrastructure category fall in the company size of 20 - 49 employees (2656 companies), 100 - 249 employees (2530 companies), 1,000 - 4,999 employees (2267 companies). You can view a distribution chart of Apache Spark customers by company size
.Apache Spark has market share of 32.42% in big-data-infrastructure market. Apache Spark competes with 11 competitor tools in big-data-infrastructure category. The top alternatives for Apache Spark big-data-infrastructure tool are Amazon Redshift with 28.35%, Cloudera with 13.56%, Amazon EMR with 12.21% market share.
Top industries that use Apache Spark for big-data-infrastructure are Big Data (988), Machine Learning (962), Artificial Intelligence (758).
Around the world in 2023, over 14013 companies have started using Apache Spark as big-data-infrastructure tool. Companies using Apache Spark for big-data-infrastructure are majorly from United States with 6347 customers. 42.49% of Apache Spark customers are from the United States. Other top countries using Apache Spark are India and United Kingdom with 1422(9.52%) and 959(6.42%) customers respectively.
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