This is the Linux app named Apache Impala whose latest release can be downloaded as Impala4.5.2sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Apache Impala
DESCRIPTION
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.
Features
- Best of breed performance and scalability
- Support for data stored in Apache Iceberg, HDFS, Apache HBase, Apache Kudu, Amazon S3, Azure Data Lake Storage, Apache Hadoop Ozone and more
- Wide analytic SQL support, including window functions and subqueries
- On-the-fly code generation using LLVM to generate lightning-fast code tailored specifically to each individual query
- Support for the most commonly-used Hadoop file formats, including Apache Parquet and Apache ORC
- Support for industry-standard security protocols, including Kerberos, LDAP and TLS
- Apache-licensed, 100% open source
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/apache-impala.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
