Technology Profile
Market Share
Top Competitors
Customers
Customers by Industry
Customers by Size
Customers by Geo
Employees
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Cloud Dataprep
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning.
- Data Preparation
Market Share of Cloud Dataprep
- Current Customer The number of companies that currently use Cloud Dataprep
- 46
- Websites Added The number of companies that have started using Cloud Dataprep in the past month.
NA- compared to last month
- Websites Dropped The number of companies that have stopped using Cloud Dataprep in the past month.
NA- compared to last month
Top Competitors and Alternatives of Cloud Dataprep
The top three of Cloud Dataprep’s competitors in the Data Preparation category are Tamr with 34.48%Trifacta with 18.97%Datawatch with 18.25% market share.
Popular Comparisons
Top Competitors and Alternatives of Cloud Dataprep
The top three of Cloud Dataprep’s competitors in the Data Preparation category are Tamr with 34.48%Trifacta with 18.97%Datawatch with 18.25% market share.
Technology Stack Analysis
Compare Tech Stack of Cloud Dataprep and Its Competitors
Get the list of top 5 common technologies used by Cloud Dataprep and its competitors.
Customers of Cloud Dataprep
Around the world in 2022, over 44 companies have started using Cloud Dataprep as Data Preparation tool.
Find which Cloud Dataprep customers are ready to buy from you by using Slintel's buying intent score.
Cloud Dataprep Customers by Industry
The three top industries that use Cloud Dataprep for Data Preparation are Machine Learning (6)Analytics (5)Crm (5).
Cloud Dataprep Customers by Employee Count
The majority of Cloud Dataprep’s customers for the data-preparation category fall in the company size of 10,000+ employees (16 companies)100 - 249 employees (7 companies)20 - 49 employees (6 companies).
Cloud Dataprep Customers by Geography
The top three geographies of Cloud Dataprep for data-preparation are the United States with 32(69.57%)India with 2(4.35%)Netherlands with 2(4.35%) customers respectively.
Employees of Cloud Dataprep
Download Slintel’s Chrome Extension to get verified contact data of Cloud Dataprep employees.
FAQ
Find answers to the most often asked questions by users.
Who are the top Cloud Dataprep competitors?
Cloud Dataprep’s Top competitors in the data-preparation category are TamrTrifactaDatawatch. You can view a full list of Cloud Dataprep competitors . Slintel uses advanced data mining and AI algorithms to track customers and of Cloud Dataprep and 40,000 other technologies on the internet.You can also compare Cloud Dataprep and its feature with top competitors here : Cloud Dataprep vs Tamr Cloud Dataprep vs Trifacta Cloud Dataprep vs Datawatch .
What is Cloud Dataprep customer distribution based on company size?
The majority of Cloud Dataprep’s customers for the data-preparation category fall in the company size of 10,000+ employees (16 companies)100 - 249 employees (7 companies)20 - 49 employees (6 companies). You can view a distribution chart of Cloud Dataprep customers by company size .
What is Cloud Dataprep market share in the data-preparation?
Cloud Dataprep has market share of 6.61% in data-preparation market. Cloud Dataprep competes with 6 competitor tools in data-preparation category. The top alternatives for Cloud Dataprep data-preparation tool are Tamr with 34.48%Trifacta with 18.97%Datawatch with 18.25%market share.
What are the top industries that use Cloud Dataprep?
Top industries that use Cloud Dataprep for data-preparation are Machine Learning (6)Analytics (5)Crm (5).
What are the top countries that use Cloud Dataprep?
Around the world in 2022, over 44 companies have started using Cloud Dataprep as data-preparation tool. Companies using Cloud Dataprep for data-preparation are majorly from United States with 32 customers. 69.57% of Cloud Dataprep customers are from the United States. Other top countries using Cloud Dataprep are India Netherlands with 2(4.35%) 2(4.35%) customers respectively.
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