HBase vs MySQL Performance Analyzer

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

HBase

463
496
+ 1
15
MySQL Performance Analyzer

12
90
+ 1
0
Add tool

HBase vs MySQL Performance Analyzer: What are the differences?

Developers describe HBase as "The Hadoop database, a distributed, scalable, big data store". 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. On the other hand, MySQL Performance Analyzer is detailed as "MySQL Performance Analyzer by Yahoo". MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.

HBase and MySQL Performance Analyzer are primarily classified as "Databases" and "Database" tools respectively.

HBase and MySQL Performance Analyzer are both open source tools. HBase with 2.87K GitHub stars and 1.98K forks on GitHub appears to be more popular than MySQL Performance Analyzer with 1.36K GitHub stars and 194 GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of HBase
Pros of MySQL Performance Analyzer
  • 9
    Performance
  • 5
    OLTP
  • 1
    Fast Point Queries
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    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.

    What is MySQL Performance Analyzer?

    MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.

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

    Jobs that mention HBase and MySQL Performance Analyzer as a desired skillset
    What companies use HBase?
    What companies use MySQL Performance Analyzer?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

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

    What tools integrate with HBase?
    What tools integrate with MySQL Performance Analyzer?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    Jun 24 2020 at 4:42PM

    Pinterest

    Amazon S3KafkaHBase+4
    4
    1265
    MySQLKafkaApache Spark+6
    2
    2078
    What are some alternatives to HBase and MySQL Performance Analyzer?
    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.
    Google Cloud Bigtable
    Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    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.
    See all alternatives