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What is Phoenix Framework?

Effortlessly develop interactive and captivating web applications while minimizing code and simplifying complexity. Join our growing community of developers who are harnessing the power of Phoenix to create APIs, HTML5 applications, and a variety of projects, whether for fun or significant endeavors. Interact with users in real-time and manage connections across various nodes through our built-in Channels and Presence functionalities. Alternatively, delve into LiveView for an innovative method to craft real-time applications that bypass the challenges of client-side coding. At its core, Phoenix is a powerful web framework that enriches the traditional Model-View-Controller (MVC) architecture with cutting-edge functional ideas. By focusing on your business objectives, Phoenix not only enhances your immediate productivity but also guarantees the long-term sustainability of your code. This framework equips developers with the tools needed to produce high-quality applications swiftly and efficiently, allowing for a smoother development experience. Thus, embracing Phoenix can lead to better outcomes for both developers and the users they serve.

What is Apache Phoenix?

Apache Phoenix effectively merges online transaction processing (OLTP) with operational analytics in the Hadoop ecosystem, making it suitable for applications that require low-latency responses by blending the advantages of both domains. It utilizes standard SQL and JDBC APIs while providing full ACID transaction support, as well as the flexibility of schema-on-read common in NoSQL systems through its use of HBase for storage. Furthermore, Apache Phoenix integrates effortlessly with various components of the Hadoop ecosystem, including Spark, Hive, Pig, Flume, and MapReduce, thereby establishing itself as a robust data platform for both OLTP and operational analytics through the use of widely accepted industry-standard APIs. The framework translates SQL queries into a series of HBase scans, efficiently managing these operations to produce traditional JDBC result sets. By making direct use of the HBase API and implementing coprocessors along with specific filters, Apache Phoenix delivers exceptional performance, often providing results in mere milliseconds for smaller queries and within seconds for extensive datasets that contain millions of rows. This outstanding capability positions it as an optimal solution for applications that necessitate swift data retrieval and thorough analysis, further enhancing its appeal in the field of big data processing. Its ability to handle complex queries with efficiency only adds to its reputation as a top choice for developers seeking to harness the power of Hadoop for both transactional and analytical workloads.

Media

Media

Integrations Supported

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Data Sentinel
Fly.io
Hadoop
Inertia
LiveSAASKit
NoSQL
Petal
Python
SQL
Salesforce Data 360
Trino
daisyUI

Integrations Supported

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Data Sentinel
Fly.io
Hadoop
Inertia
LiveSAASKit
NoSQL
Petal
Python
SQL
Salesforce Data 360
Trino
daisyUI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Phoenix Framework

Company Website

phoenixframework.org

Company Facts

Organization Name

Apache Software Foundation

Company Website

phoenix.apache.org

Categories and Features

Categories and Features

Relational Database

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

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