Companies that use Apache Drill
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel.
88
companies
List of companies using Apache Drill
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Apache Drill
Employees25kRevenue$7.8BAutomation Machinery ManufacturingApache DrillMedium confidence
Employees1.3kRevenue$98MSoftware DevelopmentApache DrillMedium confidence
Employees367Software DevelopmentApache DrillMedium confidence
Employees1kAppliances, Electrical, and Electronics ManufacturingApache DrillMedium confidence- Employees4Food and Beverage ServicesApache DrillMedium confidence
- Employees50Revenue$1.8MFinancial ServicesApache DrillMedium confidence
- Employees35Revenue$125kIT Services and IT ConsultingApache DrillMedium confidence
Employees207kRevenue$50BIT Services and IT ConsultingApache DrillLow confidence
Employees180Revenue$8.3MTechnology, Information and MediaApache DrillLow confidence
Employees69Software DevelopmentApache DrillLow confidence
We have data on 88 companies and users that use Apache Drill. Our Apache Drill 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
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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 Drill is an open-source, distributed SQL query engine designed to enable interactive querying and analysis of large-scale datasets across multiple data sources. It provides a schema-free JSON document model for flexibility in data exploration and supports a wide range of data formats including JSON, Parquet, AVRO, and others. Apache Drill is known for its ability to efficiently execute ad-hoc queries on semi-structured and nested data, making it a valuable tool for data analysts, data scientists, and developers working with diverse and complex datasets.
Apache Drill falls under the category of Database Tools, specifically within the realm of SQL query engines. It offers users the ability to perform SQL queries on various data sources without the need to predefine schemas or models, allowing for on-the-fly schema discovery and flexibility in working with different data formats. This category is essential for data professionals who need to access and analyze data stored in different systems without the hassle of traditional ETL processes or data transformation.
Apache Drill was founded in 2012 by the Apache Software Foundation with the aim of providing a powerful and efficient tool for interactive querying of big data. The motivation behind Apache Drill was to address the challenges faced by organizations dealing with diverse, ever-changing data formats and sources, and to simplify the process of querying and analyzing such data at scale. Since its inception, Apache Drill has gained popularity in the data analytics and big data processing space.
In terms of current market share, Apache Drill has established itself as a prominent player in the SQL query engine landscape, particularly in the realm of interactive data exploration. While specific market share figures may vary, Apache Drill continues to be widely adopted by organizations looking to streamline their data analysis processes and work with disparate data sources efficiently. With the growing demand for real-time analytics and data-driven decision-making, it is anticipated that Apache Drill's market share is poised to grow in the future as more companies recognize the value of its capabilities in handling complex and dynamic datasets.