Apache Kudu logo

Apache Kudu

Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform
+ 1

What is Apache Kudu?

A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data.
Apache Kudu is a tool in the Big Data Tools category of a tech stack.
Apache Kudu is an open source tool with 828 GitHub stars and 282 GitHub forks. Here’s a link to Apache Kudu's open source repository on GitHub

Who uses Apache Kudu?

5 companies reportedly use Apache Kudu in their tech stacks, including Data Pipeline, HIS, and Cedato.

54 developers on StackShare have stated that they use Apache Kudu.

Apache Kudu Integrations

Pros of Apache Kudu
Realtime Analytics

Apache Kudu Alternatives & Comparisons

What are some alternatives to Apache Kudu?
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
See all alternatives

Apache Kudu's Followers
206 developers follow Apache Kudu to keep up with related blogs and decisions.