Companies that use AWS Data Wrangler
It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).
53
companies
List of companies using AWS Data Wrangler
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"aws-data-wrangler\"
]
}"Technology
is any of
AWS Data Wrangler
Employees46Marketing ServicesAWS Data WranglerHigh confidence
Employees777Software DevelopmentAWS Data WranglerMedium confidence
Employees942Revenue$19MIT Services and IT ConsultingAWS Data WranglerMedium confidence- IT Services and IT ConsultingAWS Data WranglerMedium confidence
Employees13kRevenue$29BFinancial ServicesAWS Data WranglerLow confidence
Employees37kRevenue$1.5BIT Services and IT ConsultingAWS Data WranglerLow confidence
Employees1.5MRevenue$3MIT Services and IT ConsultingAWS Data WranglerLow confidence
Employees22kRevenue$21BSoftware DevelopmentAWS Data WranglerLow confidence
Employees15kRevenue$27BBiotechnology ResearchAWS Data WranglerLow confidence
Employees1kRevenue$20MIT Services and IT ConsultingAWS Data WranglerLow confidence
We have data on 53 companies and users that use AWS Data Wrangler. Our AWS Data Wrangler users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target AWS Data Wrangler users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
AWS Data Wrangler is a powerful technology designed to simplify data preparation and loading tasks on Amazon Web Services (AWS) cloud infrastructure. It is a Python library that integrates with popular data tools like Pandas, Apache Spark, and AWS Glue, allowing data engineers and data scientists to easily interact with various data sources within the AWS ecosystem. AWS Data Wrangler streamlines the process of reading, writing, and transforming data, making it an essential tool for those working with large datasets in the cloud.
Data Science Tools encompass a wide range of technologies that facilitate data analysis, modeling, and interpretation. AWS Data Wrangler falls under this category by providing a seamless way to handle data engineering tasks within the AWS environment. With its focus on simplifying data workflows, Data Wrangler enables users to spend less time on data preparation and more time on deriving valuable insights from their datasets. This aligns well with the overarching goal of Data Science Tools, which is to make data analytics more efficient and accessible.
Founded by AWS, AWS Data Wrangler was introduced to the market with the aim of addressing the growing demand for streamlined data processing solutions within the AWS ecosystem. Its inception marked a significant advancement in data engineering capabilities, offering users a comprehensive toolset for managing data pipelines on AWS. As organizations increasingly rely on cloud-based technologies for their data infrastructure, AWS Data Wrangler emerged as a valuable resource for optimizing data workflows and enhancing data-driven decision-making processes.
In the current market, AWS Data Wrangler holds a solid position within the Data Science Tools category, with a growing adoption rate among data professionals leveraging AWS services. As the demand for efficient data processing tools continues to rise, AWS Data Wrangler is poised to experience further growth in its market share. With its robust features and seamless integration with AWS services, Data Wrangler is well-positioned to remain a key player in the data engineering landscape, catering to the evolving needs of data-driven organizations.