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A free and open-source column-oriented data storage format
379
companies
We have data on 379 companies that use Apache Parquet. Our Apache Parquet 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.
Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
![]() Mind Foundry | United Kingdom | Software Development | 200 | $3M |
![]() EvolutionIQ | United States | Software Development | 170 | |
United States | Entertainment Providers | |||
Our Future Health UK | United Kingdom | Research Services | 263 | |
Unlikely AI | United Kingdom | Software Development | 63 | |
AgriCapture | United States | Environmental Services | 22 | |
![]() Dremio | United States | Software Development | 355 | $42M |
INGRITY | Australia | It Services And It Consulting | 31 | |
![]() Klaviyo | United States | Marketing Services | 2.3K | $150M |
QuintoAndar | Brazil | Software Development | 4.2K | $120M |
Amida Technology Solutions | United States | It Services And It Consulting | 91 | $2M |
![]() Our Future Health | United Kingdom | Research Services | 254 |
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Technoloy Usage Stadistics and Market Share
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There are 103 alternatives to Apache Parquet
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Apache Parquet is used in 25 countries
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.
Apache Parquet has become a popular choice for companies operating in the realm of databases due to its efficient and versatile nature. As a columnar storage format, Parquet offers numerous benefits that contribute to its widespread adoption in the industry.
Apache Parquet significantly enhances query performance by storing data in a columnar format, allowing for more efficient and rapid data retrieval compared to traditional row-based storage technologies. This architecture minimizes the amount of data that needs to be read during query processing, resulting in faster query execution times and improved overall system performance.
One of the key advantages of Apache Parquet is its cost-effectiveness in terms of storage and processing resources. By employing compression techniques and encoding methods, Parquet reduces storage requirements and accelerates data processing, leading to cost savings for organizations compared to other storage formats that consume more resources.
Apache Parquet offers seamless compatibility with a wide range of programming languages and data processing frameworks, making it a versatile choice for companies with diverse tech stacks. Its cross-platform support enables smooth integration within existing data ecosystems, enhancing interoperability and ease of use across different platforms and tools.
Parquet's advanced capabilities in data compression allow for efficient utilization of storage space while maintaining high performance levels. By compressing data blocks and leveraging encoding techniques, Parquet achieves superior compression ratios compared to other formats, resulting in reduced storage costs and improved data processing efficiency.
Apache Parquet supports a wide array of complex data types, such as nested structures and arrays, enabling companies to store and process diverse data formats with ease. This flexibility in handling complex data structures sets Parquet apart from other storage formats that may have limitations in terms of data type support, making it an ideal choice for organizations dealing with diverse data sets.
Apache Parquet, a columnar storage format, is widely used by numerous companies across various industries for optimizing data storage and processing. Here are some real-world case studies showcasing how companies leverage Apache Parquet within their tech stacks:
Netflix: Netflix, a leading global streaming service, utilizes Apache Parquet as part of its data infrastructure. They began using Apache Parquet to efficiently store and process vast amounts of data generated by user interactions, content preferences, and viewing behaviors. By leveraging Parquet's columnar storage capabilities, Netflix has been able to enhance query performance, reduce storage costs, and improve overall data processing efficiency.
Uber: Uber, a prominent technology company in the transportation industry, adopted Apache Parquet to handle the massive volume of data generated by its ride-hailing platform. Uber leverages Parquet for storing and analyzing diverse datasets related to driver activities, trip details, user interactions, and more. By utilizing Parquet's compression techniques and optimized data encoding, Uber has achieved faster query speeds and resource-efficient data storage since integrating Parquet into its tech stack.
LinkedIn: LinkedIn, the professional networking platform, incorporates Apache Parquet as part of its data management strategy. LinkedIn started utilizing Parquet to store and analyze user profiles, connection data, engagement metrics, and content interactions more efficiently. The adoption of Parquet has enabled LinkedIn to accelerate data processing tasks, enhance analytics capabilities, and streamline data retrieval processes across its platform.
These case studies demonstrate how established companies like Netflix, Uber, and LinkedIn harness the power of Apache Parquet within their tech ecosystems to drive data-driven decision-making, optimize storage resources, and improve overall operational efficiency.
You can access an updated list of companies using Apache Parquet by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 379 companies that use Apache Parquet.
Apache Parquet is used by a diverse range of organizations across various industries, including "Software Development", "Software Development", "Entertainment Providers", "Research Services", "Software Development", "Environmental Services", "Software Development", "It Services And It Consulting", "Marketing Services", "Software Development". For a comprehensive list of all industries utilizing Apache Parquet, please visit TheirStack.com.
Some of the companies that use Apache Parquet include Mind Foundry, EvolutionIQ, Channel 99, Inc., Our Future Health UK, Unlikely AI, AgriCapture, Dremio, INGRITY, Klaviyo, QuintoAndar and many more. You can find a complete list of 379 companies that use Apache Parquet on TheirStack.com.
Based on our data, Apache Parquet is most popular in United States (172 companies), United Kingdom (32 companies), Germany (12 companies), India (11 companies), Canada (10 companies), France (9 companies), Spain (9 companies), Australia (8 companies), Brazil (7 companies), Ireland (5 companies). However, it is used by companies all over the world.
You can find companies using Apache Parquet by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.