Treasure Data is an end-to-end, fully-managed cloud service for big data.
Current Customer(s)
Market Share (Est.)
Ranking
The top three of Treasure Data’s competitors in the Big Data Infrastructure category are Apache Spark with 34.56%, Amazon Redshift with 28.65%, Cloudera with 11.94% market share.
Technology | Domains | Market Share (Est.) | Versus page |
---|---|---|---|
Apache Spark | 13857 | 34.56% | Treasure Data vs Apache Spark |
Amazon Redshift | 11486 | 28.65% | Treasure Data vs Amazon Redshift |
Cloudera | 4785 | 11.94% | Treasure Data vs Cloudera |
Amazon EMR | 4755 | 11.86% | Treasure Data vs Amazon EMR |
Apache Hive | 3170 | 7.91% | Treasure Data vs Apache Hive |
Google Cloud Dataproc | 784 | 1.96% | Treasure Data vs Google Cloud Dataproc |
Qubole | 156 | 0.39% | Treasure Data vs Qubole |
GridGain | 90 | 0.22% | Treasure Data vs GridGain |
BlueData | 49 | 0.12% | Treasure Data vs BlueData |
Vertica | 24 | 0.06% | Treasure Data vs Vertica |
Apache Bigtop | 13 | 0.03% | Treasure Data vs Apache Bigtop |
Popular Comparisons
The top three of Treasure Data’s competitors in the Big Data Infrastructure category are Apache Spark with 34.56%, Amazon Redshift with 28.65%, Cloudera with 11.94% market share.
Treasure Data vs Apache Spark
Treasure Data vs Amazon Redshift
Treasure Data vs Cloudera
Treasure Data vs Amazon EMR
Treasure Data vs Apache Hive
Treasure Data vs Google Cloud Dataproc
Treasure Data vs Qubole
Treasure Data vs GridGain
Around the world in 2024, over 921 companies have started using Treasure Data as Big Data Infrastructure tool.
Customers | Employee Range | City | Region | Country | Social Links |
---|---|---|---|---|---|
LIXIL Corporation | 10,000+ | Tokyo | Tokyo | Japan | |
Yamaha | 10,000+ | Hamamatsu | Shizuoka | Japan | |
Ajinomoto Co. | 10,000+ | Tokyo | Tokyo | Japan | |
NIPPON BOEHRINGER INGELHEIM | 10,000+ | Mainz | Rheinland-Pfalz | Germany | |
Suntory Beverage & Food | 10,000+ | Tokyo | Tokyo | Japan | |
Boehringer Ingelheim | 10,000+ | Mainz | Rheinland-Pfalz | Germany | |
Brookdale Senior Living | 10,000+ | Brentwood | Tennessee | United States | |
Asahi Group Holdings | 10,000+ | Tokyo | Tokyo | Japan | |
Maruti Suzuki India Limited | 10,000+ | New Delhi | NCT | India | |
Yamada Holdings Co Ltd | 10,000+ | Takasaki | Gunma | Japan |
The top three products and services offering customers that use Treasure Data for Big Data Infrastructure are Marketing (29), Digital Marketing (20), Data Analytics (18).
Customers
The majority of Treasure Data's customers for the big-data-infrastructure category fall in the company size of 20 - 49 employees (166 companies), 100 - 249 employees (146 companies), 0 - 9 employees (137 companies).
Employee Size
The top three geographies of Treasure Data for big-data-infrastructure are the United States with 364(44.55%), Japan with 297(36.35%), United Kingdom with 57(6.98%) customers respectively.
Customers
Find answers to the most often asked questions by users.
Who are the top Treasure Data competitors?
Treasure Data’s Top competitors in the big-data-infrastructure category are Apache Spark, Amazon Redshift, Cloudera. You can view a full list of Treasure Data competitors here. 6sense uses advanced data mining and AI algorithms to track customers and competitors of Treasure Data and 40,000 other technologies on the internet. You can also compare Treasure Data and its feature with top competitors here : Treasure Data vs Apache Spark Treasure Data vs Amazon Redshift Treasure Data vs Cloudera.
What is Treasure Data customer distribution based on company size?
What is Treasure Data market share in the big-data-infrastructure?
What are the top countries that use Treasure Data?
What are the top industries that use Treasure Data?
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