Companies that use Apache Impala
Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
581
companies
List of companies using Apache Impala
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Apache Impala
Employees33Technology, Information and InternetApache ImpalaHigh confidence
Employees3.5kRevenue$905MSoftware DevelopmentApache ImpalaMedium confidence
Employees4.8kFinancial ServicesApache ImpalaMedium confidence
Employees240Revenue$12MIT Services and IT ConsultingApache ImpalaMedium confidence
Employees3.5kRevenue$2.2MTechnology, Information and InternetApache ImpalaMedium confidence
Employees33Revenue$120kIT Services and IT ConsultingApache ImpalaMedium confidence
Employees200kRevenue$75BFinancial ServicesApache ImpalaLow confidence
Employees412kRevenue$45BProfessional ServicesApache ImpalaLow confidence
Employees24kRevenue$4.3BIT Services and IT ConsultingApache ImpalaLow confidence
Employees346kRevenue$61BIT Services and IT ConsultingApache ImpalaLow confidence
We have data on 581 companies and users that use Apache Impala. Our Apache Impala 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.
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Apache Impala is a high-performance distributed SQL query engine for processing big data workloads. It is an open-source tool designed to provide interactive and real-time analytics capabilities on massive datasets stored in Hadoop Distributed File System (HDFS) or Apache HBase. Apache Impala is known for its scalability, low-latency query execution, and native integration with Apache Hadoop ecosystem components, making it a popular choice for organizations dealing with large volumes of data.
Apache Impala falls under the category of Big Data Tools, specifically catering to the need for fast and interactive SQL queries on big data sets. It enables users to run complex queries on large-scale data in real-time without the need for data movement or transformation, thereby streamlining the analytical process. Apache Impala's in-memory processing and massively parallel processing (MPP) architecture contribute to its performance and efficiency in handling big data workloads effectively.
Apache Impala was founded in 2012 by Cloudera, a software company specializing in big data solutions and services. The motivation behind creating Apache Impala was to address the limitations of traditional batch processing frameworks in Apache Hadoop for interactive analytics use cases. By providing a way to run SQL queries natively on Hadoop data storage, Apache Impala aimed to bridge the gap between data processing and analytics, offering users a faster and more seamless experience in extracting insights from their big data repositories.
Currently, Apache Impala holds a significant market share within the Big Data Tools category, thanks to its robust performance and compatibility with popular data storage systems like HDFS and HBase. With the increasing adoption of big data analytics and the growing demand for real-time processing capabilities, Apache Impala is poised to see further growth in the market in the coming years. Its ability to handle complex queries at lightning speed makes it a valuable asset for organizations looking to derive actionable insights from their massive data sets efficiently and effectively.