Apache Kudu

49
130
+ 1
8
Minio

193
281
+ 1
19
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Kudu vs Minio: What are the differences?

Kudu: Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform. A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data; Minio: AWS S3 open source alternative written in Go. Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License.

Kudu belongs to "Big Data Tools" category of the tech stack, while Minio can be primarily classified under "Cloud Storage".

Kudu and Minio are both open source tools. It seems that Minio with 16.9K GitHub stars and 1.59K forks on GitHub has more adoption than Kudu with 789 GitHub stars and 263 GitHub forks.

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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.

What is Minio?

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
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What tools integrate with Apache Kudu?
What tools integrate with Minio?
What are some alternatives to Apache Kudu and Minio?
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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