Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Current Customer(s)
Market Share (Est.)
Ranking
The top three of Apache Spark’s competitors in the Big Data Infrastructure category are Amazon Redshift with 27.36%, Amazon EMR with 11.19%, Cloudera with 10.47% market share.
| Technology | Domains | Market Share (Est.) | Versus page |
|---|---|---|---|
| Amazon Redshift | 13931 | 27.36% | Apache Spark vs Amazon Redshift |
| Amazon EMR | 5699 | 11.19% | Apache Spark vs Amazon EMR |
| Cloudera | 5332 | 10.47% | Apache Spark vs Cloudera |
| Apache Hive | 4209 | 8.27% | Apache Spark vs Apache Hive |
| Google Cloud Dataproc | 1467 | 2.88% | Apache Spark vs Google Cloud Dataproc |
| Treasure Data | 654 | 1.28% | Apache Spark vs Treasure Data |
| Vertica | 310 | 0.61% | Apache Spark vs Vertica |
| GridGain | 228 | 0.45% | Apache Spark vs GridGain |
| Qubole | 165 | 0.32% | Apache Spark vs Qubole |
| BlueData | 45 | 0.09% | Apache Spark vs BlueData |
| Pivotal HDB | 34 | 0.07% | Apache Spark vs Pivotal HDB |
| Apache Bigtop | 15 | 0.03% | Apache Spark vs Apache Bigtop |
Popular Comparisons
The top three of Apache Spark’s competitors in the Big Data Infrastructure category are Amazon Redshift with 27.36%, Amazon EMR with 11.19%, Cloudera with 10.47% market share.
Apache Spark vs Amazon Redshift
Apache Spark vs Amazon EMR
Apache Spark vs Cloudera
Apache Spark vs Apache Hive
Apache Spark vs Google Cloud Dataproc
Apache Spark vs Treasure Data
Apache Spark vs Vertica
Apache Spark vs GridGain
Around the world in 2026, over 18813 companies have started using Apache Spark as Big Data Infrastructure tool.
| Customers | Employee Range | City | Region | Country | Social Links |
|---|---|---|---|---|---|
| Yandex Games | 10,000+ | Belgrade | Central Serbia | Serbia | |
| IBM | 10,000+ | Armonk | New York | United States | |
| Autodesk | 10,000+ | San Francisco | California | United States | |
| Credit Karma | 10,000+ | Oakland | California | United States | |
| Ebay | 10,000+ | San Jose | California | United States | |
| Inspur Group | 10,000+ | Jinan | Shandong | People's Republic of China | |
| NetEase | 10,000+ | Hangzhou | Zhejiang | People's Republic of China | |
| NTT DATA | 10,000+ | Tokyo | Tokyo | Japan | |
| Groupon | 10,000+ | Chicago | Illinois | United States | |
| Shopify, Inc. | 10,000+ | Ottawa | Ontario | Canada |
The top three products and services offering customers that use Apache Spark for Big Data Infrastructure are Machine Learning (939), Big Data (919), Artificial Intelligence (738).
Customers
The majority of Apache Spark's customers for the big-data-infrastructure category fall in the company size of 100 - 249 employees (4095 companies), 1,000 - 4,999 employees (3305 companies), 10,000+ employees (2802 companies).
Employee Size
The top three geographies of Apache Spark for big-data-infrastructure are the United States with 7752(53.45%), India with 1829(12.61%), United Kingdom with 1070(7.38%) customers respectively.
Customers
Find answers to the most often asked questions by users.
Who are the top Apache Spark competitors?
Apache Spark’s Top competitors in the big-data-infrastructure category are Amazon Redshift, Amazon EMR, Cloudera. You can view a full list of Apache Spark competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Apache Spark and 40,000 other technologies on the internet. You can also compare Apache Spark and its feature with top competitors here : Apache Spark vs Amazon Redshift Apache Spark vs Amazon EMR Apache Spark vs Cloudera.
What is Apache Spark customer distribution based on company size?
What is Apache Spark market share in the big-data-infrastructure?
What are the top countries that use Apache Spark?
What are the top industries that use Apache Spark?
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