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Apache Kudu

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

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

Developers
60 developers on StackShare have stated that they use Apache Kudu.

Apache Kudu Integrations

Pros of Apache Kudu
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Decisions about Apache Kudu

Here are some stack decisions, common use cases and reviews by companies and developers who chose Apache Kudu in their tech stack.

I have been working on a Java application to demonstrate the latency for the select/insert/update operations on KUDU storage using Apache Kudu API - Java based client. I have a few queries about using Apache Kudu API

  1. Do we have JDBC wrapper to use Apache Kudu API for getting connection to Kudu masters with connection pool mechanism and all DB operations?

  2. Does Apache KuduAPI supports order by, group by, and aggregate functions? if yes, how to implement these functions using Kudu APIs.

  3. How can we add kudu predicates to Kudu update operation? if yes, how?

  4. Does Apache Kudu API supports batch insertion (execute the Kudu Insert for multiple rows at one go instead of row by row)? (like Kudusession.apply(List);)

  5. Does Apache Kudu API support join on tables?

  6. which tool is preferred over others (Apache Impala /Kudu API) for read and update/insert DB operations?

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Apache Kudu Alternatives & Comparisons

What are some alternatives to Apache Kudu?
Cassandra
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.
HBase
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.
Hadoop
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.
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Apache Kudu's Followers
233 developers follow Apache Kudu to keep up with related blogs and decisions.