Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Apache Kudu
Apache Kudu

+ 1

+ 1
Add tool

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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Apache Kudu?
Why do developers choose HBase?
    Be the first to leave a con
    What companies use Apache Kudu?
    What companies use HBase?

    Sign up to get full access to all the companiesMake informed product decisions

    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

    What are some alternatives to Apache Kudu and HBase?
    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.
    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 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.
    See all alternatives
    Decisions about Apache Kudu and HBase
    No stack decisions found
    Interest over time
    Reviews of Apache Kudu and HBase
    No reviews found
    How developers use Apache Kudu and HBase
    Avatar of Pinterest
    Pinterest uses HBaseHBase

    The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

    Avatar of Axibase
    Axibase uses HBaseHBase
    • Raw storage engine
    • Replication
    • Fault-tolerance
    Avatar of Mehdi TAZI
    Mehdi TAZI uses HBaseHBase

    Range scan and HDFS Buffering system

    Avatar of anerudhbalaji
    anerudhbalaji uses HBaseHBase

    Primary datastore

    How much does Apache Kudu cost?
    How much does HBase cost?
    Pricing unavailable
    Pricing unavailable
    News about Apache Kudu
    More news
    News about HBase
    More news