Why developers like Apache Kudu

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

Explore Apache Kudu's Story

Who uses Apache Kudu?

Companies

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

Data Pipeline

HIS

Cedato

bigspark

Sensel Telematics

Candidates

Developers

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

My Stack

TF9010

My Stack

irti

My Stack

Apache Kudu Integrations

Hadoop

Apache Impala

StreamSets

Trino

Pros of Apache Kudu

Realtime Analytics

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.

Asha Honrao

Jan 11, 2022 | 5 upvotes · 34.7K views

Needs advice

Apache Kudu

Apache Impala

and

Spring Boot

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

Do we have JDBC wrapper to use Apache Kudu API for getting connection to Kudu masters with connection pool mechanism and all DB operations?
Does Apache KuduAPI supports order by, group by, and aggregate functions? if yes, how to implement these functions using Kudu APIs.
How can we add kudu predicates to Kudu update operation? if yes, how?
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);)
Does Apache Kudu API support join on tables?
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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