Need advice about which tool to choose?Ask the StackShare community!
Add tool
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of Apache Kudu
Pros of HBase
Pros of Apache Kudu
- Realtime Analytics10
Pros of HBase
- Performance9
- OLTP5
- Fast Point Queries1
Sign up to add or upvote prosMake informed product decisions
Cons of Apache Kudu
Cons of HBase
Cons of Apache Kudu
- Restart time0
Cons of HBase
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
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 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.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Apache Kudu and HBase as a desired skillset
What companies use Apache Kudu?
What companies use HBase?
What companies use Apache Kudu?
What companies use HBase?
See which teams inside your own company are using Apache Kudu or HBase.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Apache Kudu?
What tools integrate with HBase?
What tools integrate with Apache Kudu?
What tools integrate with HBase?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+5 3
901
+4 4
1129
+6 2
1808
+35 41
18214
What are some alternatives to Apache Kudu and HBase?
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.
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.
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.