Companies that use Apache Parquet
A free and open-source column-oriented data storage format
1,304
companies
List of companies using Apache Parquet
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\": [
\"apache-parquet\"
]
}"Technology
is any of
Apache Parquet
Employees11Services for Renewable EnergyApache ParquetHigh confidence
Employees78Software DevelopmentApache ParquetHigh confidence
Employees447Revenue$10MSoftware DevelopmentApache ParquetHigh confidence
Employees26Software DevelopmentApache ParquetHigh confidence
Employees22Environmental ServicesApache ParquetHigh confidence
Employees61Software DevelopmentApache ParquetHigh confidence
Employees12kRevenue$1.9BSoftware DevelopmentApache ParquetMedium confidence
Employees412kRevenue$45BProfessional ServicesApache ParquetMedium confidence
Employees7.9kRevenue$60MSoftware DevelopmentApache ParquetMedium confidence
Employees101kRevenue$32BBankingApache ParquetMedium confidence
We have data on 1,304 companies and users that use Apache Parquet. Our Apache Parquet 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 Apache Parquet users
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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.
Apache Parquet is a columnar storage file format that is specifically designed for big data processing frameworks such as Apache Hadoop. It provides efficient storage and encoding of data that allows for high levels of compression and encoding schemes to be used, resulting in improved query performance over large datasets. With its ability to support complex nested data structures and efficient data encoding techniques, Apache Parquet has become a popular choice for storing and processing data in big data environments.
In the realm of Databases, Apache Parquet plays a crucial role in enhancing the performance and efficiency of data storage and processing. By organizing data into columns rather than rows, Parquet allows for more efficient data retrieval and query processing, making it ideal for analytical workloads where specific columns are often accessed more frequently. The columnar storage format of Parquet also enables better compression and encoding techniques, leading to reduced storage requirements and faster query performance.
Apache Parquet was originally developed by the engineers at Cloudera and Twitter in 2013 as an open-source project under the Apache Software Foundation. The motivation behind creating Parquet was to address the need for a columnar storage format that could efficiently handle the growing volumes of data generated by big data applications. Since its inception, Apache Parquet has gained significant adoption in the big data ecosystem due to its performance benefits and compatibility with various data processing frameworks.
In terms of current market share, Apache Parquet has established itself as a key player in the columnar storage space within the Databases category. Its efficient storage and query capabilities have made it a preferred choice for organizations dealing with large-scale data processing and analytics. With the ongoing trend towards big data adoption and the increasing demand for high-performance data processing solutions, the market share of Apache Parquet is expected to grow further as more companies leverage its benefits for their data storage and processing needs.