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Voldemort does not try to satisfy arbitrary relations and the ACID properties, but rather is a big, distributed, persistent hash table. [2] A 2012 study comparing systems for storing application performance management data reported that Voldemort, Apache Cassandra, and HBase all offered linear scalability in most cases, with Voldemort having the lowest latency and Cassandra having the highest ...
The project was announced in October 2012 with a public beta test distribution [3] [4] and became generally available in May 2013. [ 5 ] Impala brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation.
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Hudi: provides atomic upserts and incremental data streams on Big Data; Iceberg: an open standard for analytic SQL tables, designed for high performance and ease of use. Ignite: an In-Memory Data Fabric providing in-memory data caching, partitioning, processing, and querying components [8] Impala: a high-performance distributed SQL engine
Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers.The system prioritizes availability and scalability over consistency, making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [2]
Apache Superset is an open-source software application for data exploration and data visualization able to handle data at petabyte scale ().The application started as a hack-a-thon project by Maxime Beauchemin (creator of Apache Airflow) while working at Airbnb and entered the Apache Incubator program in 2017. [1]
The Kylin project was started in 2013, in eBay's R&D in Shanghai, China. In Oct 2014, Kylin v0.6 was open sourced on github.com with the name "KylinOLAP". [4] In November 2014, Kylin joined Apache Software Foundation incubator. In December 2015, Apache Kylin graduated to be a Top Level Project. [3]
Fluentd was positioned for "big data," semi- or un-structured data sets.It analyzes event logs, application logs, and clickstreams. [3] According to Suonsyrjä and Mikkonen, the "core idea of Fluentd is to be the unifying layer between different types of log inputs and outputs.", [4] Fluentd is available on Linux, macOS, and Windows.