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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.
381
companies
We have data on 381 companies that use Apache Impala. Our Apache Impala 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 |
---|---|---|---|---|
![]() Cloudera | United States | Software Development | 3.1K | $905M |
![]() Amadeus | Spain | It Services And It Consulting | 17K | $4.3B |
BDO | Belgium | Accounting | 66K | $12B |
The MITRE Corporation | United States | Government Administration | 11K | $1.9B |
ICON plc | Ireland | Biotechnology Research | 34K | $7.7B |
India | Software Development | 7 | ||
![]() ICON | United States | Construction | 10K | $7.7B |
Okera Inc. | United States | It Services And It Consulting | 38 | $11M |
Ultra Tendency | Germany | It Services And It Consulting | 107 | |
KPS Software GmbH | Germany | It Services And It Consulting | 18 | |
IMC Trading | Netherlands | Financial Services | 2.1K | $55M |
My Product Path | United Kingdom | Staffing And Recruiting | 5 |
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Technoloy Usage Stadistics and Market Share
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Apache Impala is used in 26 countries
There are 45 alternatives to Apache Impala
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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 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.
Apache Impala is a powerful tool used by companies in the realm of Big Data to accelerate and streamline their data processing and analytics tasks. As an open-source massively parallel processing SQL query engine for data stored in Apache Hadoop, Impala offers a range of benefits that make it a popular choice among organizations seeking efficient data querying and analysis solutions.
Impala enables real-time querying of data in Hadoop, allowing companies to obtain instant insights and make data-driven decisions promptly. Unlike batch processing systems, Impala provides near real-time results, making it ideal for applications requiring immediate access to up-to-date data.
With Impala's in-memory processing capabilities and distributed query execution, users can experience significantly faster query performance compared to traditional disk-based systems. This high performance ensures quick data retrieval and analysis, enhancing overall operational efficiency and productivity.
Apache Impala seamlessly integrates with other components of the Hadoop ecosystem, such as Apache Hive and HDFS, providing users with a cohesive data processing environment. This interoperability allows for easy data sharing, processing, and analysis across different platforms within the organization.
Impala is highly scalable, catering to the growing data needs of organizations without compromising on query performance. Its ability to handle large datasets and complex queries with ease makes it a flexible solution for companies looking to expand their data processing capabilities seamlessly.
By leveraging Apache Impala's open-source nature, companies can benefit from a cost-effective data processing solution that meets their analytical requirements without incurring hefty licensing fees. This affordability makes Impala an attractive option for organizations looking to optimize their Big Data operations while staying within budget.
Apache Impala is a popular choice for companies seeking real-time, interactive SQL queries on data stored in Apache Hadoop. Several companies across various industries leverage Apache Impala to enhance their data analytics and processing capabilities. Below are a few case studies showcasing how prominent organizations benefit from utilizing Apache Impala:
1. Yelp
Yelp, a leading platform for crowd-sourced reviews and recommendations, utilizes Apache Impala to streamline their data processing operations. By harnessing Impala's rapid query execution engine, Yelp can analyze large volumes of data in real-time to extract valuable insights into user behaviors, preferences, and trends. Yelp adopted Apache Impala in 2016, allowing them to significantly improve the speed and efficiency of their data analytics workflows.
2. Veeva Systems
Veeva Systems, a prominent provider of cloud-based software solutions for the life sciences industry, integrates Apache Impala into their data processing infrastructure. With Impala, Veeva Systems accelerates the processing of vast datasets, enabling their clients to access critical insights for drug development, clinical trials, and commercial operations. Veeva Systems implemented Apache Impala in 2018, revolutionizing their data analysis capabilities and enhancing decision-making processes.
3. Taboola
Taboola, a renowned content recommendation platform, leverages Apache Impala to power their data analytics initiatives. By deploying Impala, Taboola can execute complex queries on massive datasets with remarkable speed and agility, empowering them to optimize content delivery algorithms and enhance user engagement strategies. Taboola incorporated Apache Impala into their data infrastructure in 2017, marking a pivotal moment in their quest to harness the full potential of their data resources.
These real-world case studies underscore the diverse applications and advantages of Apache Impala across industries, reaffirming its status as a pivotal tool in the realm of Big Data analytics. By embracing Apache Impala, companies can unlock new insights, drive innovation, and gain a competitive edge in today's data-driven landscape.
You can access an updated list of companies using Apache Impala 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 381 companies that use Apache Impala.
Apache Impala is used by a diverse range of organizations across various industries, including "Software Development", "It Services And It Consulting", "Accounting", "Government Administration", "Biotechnology Research", "Software Development", "Construction", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting". For a comprehensive list of all industries utilizing Apache Impala, please visit TheirStack.com.
Some of the companies that use Apache Impala include Cloudera, Amadeus, BDO, The MITRE Corporation, ICON plc, Object Technology Solutions Inc, ICON, Okera Inc., Ultra Tendency, KPS Software GmbH and many more. You can find a complete list of 381 companies that use Apache Impala on TheirStack.com.
Based on our data, Apache Impala is most popular in United States (135 companies), Spain (21 companies), India (19 companies), United Kingdom (17 companies), Germany (14 companies), Canada (8 companies), Singapore (8 companies), Australia (7 companies), Brazil (6 companies), France (6 companies). However, it is used by companies all over the world.
You can find companies using Apache Impala 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.