Apache Phoenix

Apache Phoenix

Apache Software Foundation
MySQL

MySQL

Oracle
+
+

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About

Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.

About

MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone searching for a solution to manage their OLTP and operational analytics for Apache Hadoop

Audience

Any business and organization looking for a powerful Relational Database solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.8 / 5
ease 4.5 / 5
features 4.8 / 5
design 4.7 / 5
support 4.7 / 5

Pros & Cons from Real Users

Pros

  • 1. It can be easily integrated with various development environments. 2. It is not heavy on the CPU. Furthermore, it is available on all the operating systems, such as- Windows, Linux and, macOS. 3. The operation time is low, and the processes happens very quickly.
  • - The best feature about MySQL that makes it most appealing to the beginners is how easy it is to install, set up and get started with it. - It supports integration with almost all the major IDEs like VS Code and IntelliJ IDEA. - The queries used are simple and readable in layman language. - Multiple databases can be connected at once, so the user can work on multiple projects simultaneously.
  • - MySQL performs fast in every scenario and provide effective services. - It can store relational data and managing it in future is effortless. - It provides a robust security to the databases.
  • 1. It can be easily integrated with numerous development tools, programming languages and environments. 2. It is very efficient to use and does not take up a lot of CPU power to run. Furthermore, it can be easily used between teams working on a large project. 3. It is an open source software, hence, free to use under GNU license.
  • According to my real life experience, Always feel MySQL is one of the best platform for data management (Create, Update, Retrieve and Delete operations for DB, tables and related things). Some key features: - Cross-platform support for different operating systems. - MySQL is easy to use. - Quick management. - Offers a customizable interface so that one cannot get stuck. - Efficient use of resources at the memory. - A high-speed transactional processing system. - Storing relational data. - Easy integration with development tools and environments. - Connection with different programming languages.

Cons

  • 1. The user has to know the SQL queries in order to use the tool.
  • - The software crashes occasionally but luckily because of auto save feature no data gets lost. - It is the best tool for small databases, but when it comes to large databases, it is not the ideal option because of its limitations.
  • - User Interface and layout is confusing for beginners.
  • 1. There is a high learning curve while learning to use this initially.
  • I faced few issues with performance but now resolved with updated version. No Cons!

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
phoenix.apache.org

Company Information

Oracle
Founded: 1977
United States
www.mysql.com

Alternatives

Alternatives

Apache Trafodion

Apache Trafodion

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
RaimaDB

RaimaDB

Raima

Categories

Categories

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Integrations

3forge
Data Sentinel
SQL
Salesforce Data 360
Trino
BDB Platform
BackBox
Blocktree
Chat2DB
Everyware Software Framework (ESF)
GlazeGPT
Jet Admin
Kapacitor
Neurophate
Oxxus
PowerDOGs
Qxchange
SkySilk
UnifyApps
Xitoring

Integrations

3forge
Data Sentinel
SQL
Salesforce Data 360
Trino
BDB Platform
BackBox
Blocktree
Chat2DB
Everyware Software Framework (ESF)
GlazeGPT
Jet Admin
Kapacitor
Neurophate
Oxxus
PowerDOGs
Qxchange
SkySilk
UnifyApps
Xitoring
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