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 Stream Processing category are Apache Flink with 6.01%, Apache Storm with 4.52%, Microsoft App-V with 3.90% market share.
The top three of Apache Spark’s competitors in the Stream Processing category are Apache Flink with 6.01%, Apache Storm with 4.52%, Microsoft App-V with 3.90% market share.
Compare Tech Stack of Apache Spark and Its Competitors
Get the list of top 5 common technologies used by Apache Spark and its competitors.
Around the world in 2022, over 24879 companies have started using Apache Spark as Stream Processing tool.
Find which Apache Spark customers are ready to buy from you by using Slintel's buying intent score.
The three top industries that use Apache Spark for Stream Processing are Big Data (1258), Machine Learning (1193), Artificial Intelligence (947).
The majority of Apache Spark’s customers for the stream-processing category fall in the company size of 20 - 49 employees (5886 companies), 100 - 249 employees (4511 companies), 0 - 9 employees (4194 companies).
The top three geographies of Apache Spark for stream-processing are the United States with 13788(47.32%), United Kingdom with 2293(7.87%), India with 1847(6.34%) customers respectively.
Download Slintel’s Chrome Extension to get verified contact data of Apache Spark employees.
Find answers to the most often asked questions by users.
Apache Spark’s Top competitors in the stream-processing category are Apache Flink, Apache Storm, Microsoft App-V. You can view a full list of Apache Spark competitors Apache Spark vs Apache Flink Apache Spark vs Apache Storm Apache Spark vs Microsoft App-V .
. 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 :The majority of Apache Spark’s customers for the stream-processing category fall in the company size of 20 - 49 employees (5886 companies), 100 - 249 employees (4511 companies), 0 - 9 employees (4194 companies). You can view a distribution chart of Apache Spark customers by company size
.Apache Spark has market share of 77.80% in stream-processing market. Apache Spark competes with 15 competitor tools in stream-processing category. The top alternatives for Apache Spark stream-processing tool are Apache Flink with 6.01%, Apache Storm with 4.52%, Microsoft App-V with 3.90% market share.
Top industries that use Apache Spark for stream-processing are Big Data (1258), Machine Learning (1193), Artificial Intelligence (947).
Around the world in 2022, over 24879 companies have started using Apache Spark as stream-processing tool. Companies using Apache Spark for stream-processing are majorly from United States with 13788 customers. 47.32% of Apache Spark customers are from the United States. Other top countries using Apache Spark are United Kingdom and India with 2293(7.87%) and 1847(6.34%) customers respectively.
Close deals faster by understanding your clients well. Know their technology stack, contract renewal date, top decision-makers, hiring trends, and top company news in one place.