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Apache Kudu alternatives
Apache Kudu is a distributed data storage and fast analytics engine that you can consider as a new system for managing unstructured data. It’s designed to solve the challenges of scaling out storage, optimizing queries, and much more. The software manages data in column-oriented formats, similar to Vertica or a distributed version of the proprietary BigTable database. The key innovation is its division of data into “partitions,” which are spread across an arbitrary number of servers.
This storage format is designed for efficient and fast processing of large volumes of data. Kudu is a distributed deep-compression structure for storing data, designed for low latency read/write access patterns. Apache Kudu also provides a high-performance, distributed analytics processing framework. The Analytics Engine Enables fast, interactive, multi-dimensional analysis on top of Apache Hadoop. It is created with modern architecture, making it easy to build and operate in the cloud while also supporting existing relational model workloads.
Moreover, it uses a set of simple, clean APIs that allow you to access and manage data stored in files and tables. Last but not least, the solution also supports a variety of advanced analytic use cases and machine learning algorithms, allowing you to create rich end-user experiences over the same datasets that power your advanced analytics.


































