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A free and open-source column-oriented data storage format
379
firmy
Mamy dane dotyczące 379 firm, które używają Apache Parquet. Ta starannie dobrana lista jest dostępna do pobrania i wzbogacona o kluczowe informacje o firmach, w tym klasyfikację branżową, rozmiar organizacji, lokalizację geograficzną, rundy finansowania oraz dane dotyczące przychodów, między innymi.
Firma | Kraj | Branża | Pracownicy | Przychody |
---|---|---|---|---|
Mind Foundry | Wielka Brytania | Software Development | 200 | $3M |
EvolutionIQ | Stany Zjednoczone | Software Development | 170 | |
Stany Zjednoczone | Entertainment Providers | |||
Our Future Health UK | Wielka Brytania | Research Services | 263 | |
Unlikely AI | Wielka Brytania | Software Development | 63 | |
AgriCapture | Stany Zjednoczone | Environmental Services | 22 | |
Dremio | Stany Zjednoczone | Software Development | 355 | $42M |
INGRITY | Australia | It Services And It Consulting | 31 | |
Klaviyo | Stany Zjednoczone | Marketing Services | 2.3K | $150M |
QuintoAndar | Brazylia | Software Development | 4.2K | $120M |
Amida Technology Solutions | Stany Zjednoczone | It Services And It Consulting | 91 | $2M |
Our Future Health | Wielka Brytania | Research Services | 254 |
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Możesz dostosować te dane do swoich potrzeb, filtrując według geografii, branży, wielkości firmy, przychodów, wykorzystania technologii, pozycji pracy i innych. Możesz pobrać dane w formacie Excel lub CSV.
Możesz otrzymywać powiadomienia dotyczące tych danych. Możesz zacząć od wybrania technologii, którą jesteś zainteresowany, a następnie będziesz otrzymywać powiadomienia na swoją skrzynkę, gdy pojawią się nowe firmy korzystające z tej technologii.
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Apache Parquet jest używana w 25 krajach
Istnieje 103 alternatyw dla Apache Parquet
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Najczęściej zadawane pytania
Nasze dane pochodzą z ofert pracy zbieranych od milionów firm. Monitorujemy te ogłoszenia na stronach internetowych firm, tablicach ogłoszeń oraz innych platformach rekrutacyjnych. Analizowanie ofert pracy zapewnia niezawodną metodę zrozumienia technologii używanych przez firmy, w tym ich zastosowania narzędzi wewnętrznych.
Codziennie odświeżamy nasze dane, aby zapewnić Ci dostęp do najbardziej aktualnych informacji. Ten częsty proces aktualizacji gwarantuje, że nasze spostrzeżenia i informacje odzwierciedlają najnowsze wydarzenia i trendy w branży.
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.
Możesz uzyskać dostęp do zaktualizowanej listy firm wykorzystujących Apache Parquet odwiedzając TheirStack.com. Nasza platforma zapewnia kompleksową bazę danych firm korzystających z różnych technologii i narzędzi wewnętrznych.
Na chwilę obecną mamy dane dotyczące 379 firm, które używają Apache Parquet.
Apache Parquet jest używany przez różnorodne organizacje w różnych branżach, w tym "Software Development", "Software Development", "Entertainment Providers", "Research Services", "Software Development", "Environmental Services", "Software Development", "It Services And It Consulting", "Marketing Services", "Software Development". Aby uzyskać pełną listę wszystkich branż korzystających z Apache Parquet, odwiedź TheirStack.com.
Niektóre z firm, które używają Apache Parquet, to Mind Foundry, EvolutionIQ, Channel 99, Inc., Our Future Health UK, Unlikely AI, AgriCapture, Dremio, INGRITY, Klaviyo, QuintoAndar i wiele innych. Pełną listę 379 firm, które używają Apache Parquet, można znaleźć na TheirStack.com.
Na podstawie naszych danych, Apache Parquet jest najpopularniejszy w Stany Zjednoczone (172 companies), Wielka Brytania (32 companies), Niemcy (12 companies), Indie (11 companies), Kanada (10 companies), Francja (9 companies), Hiszpania (9 companies), Australia (8 companies), Brazylia (7 companies), Irlandia (5 companies). Jednak jest używany przez firmy na całym świecie.
Możesz znaleźć firmy używające Apache Parquet poprzez wyszukiwanie na TheirStack.com. Śledzimy oferty pracy od milionów firm i używamy ich do odkrywania, jakich technologii oraz narzędzi wewnętrznych używają.