Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,120 Ratings
    Company Website
  • Google Cloud SQL Reviews & Ratings
    554 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    572 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    60,933 Ratings
    Company Website
  • Couchbase Reviews & Ratings
    405 Ratings
    Company Website
  • Ditto Reviews & Ratings
    2 Ratings
    Company Website
  • HiveMQ Reviews & Ratings
    88 Ratings
    Company Website
  • BranditScan Reviews & Ratings
    62 Ratings
    Company Website
  • FastBound Reviews & Ratings
    24 Ratings
    Company Website

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.

What is Apache HBase?

When you need immediate and random read/write capabilities for large datasets, Apache HBaseâ„¢ is a solid option to consider. This project specializes in handling enormous tables that can consist of billions of rows and millions of columns across clusters made of standard hardware. It includes automatic failover functionalities among RegionServers to guarantee continuous operation without interruptions. In addition, it features a straightforward Java API for client interaction, simplifying the process for developers. There is also a Thrift gateway and a RESTful Web service available, which supports a variety of data encoding formats, such as XML, Protobuf, and binary. Moreover, it allows for the export of metrics through the Hadoop metrics subsystem, which can integrate with files or Ganglia, or even utilize JMX for improved monitoring. This adaptability positions it as a robust solution for organizations with significant data management requirements, making it a preferred choice for those looking to optimize their data handling processes.

Media

Media

Integrations Supported

Amazon EMR
Apache Spark
Data Sentinel
Salesforce Data 360
Apache Flume
Apache HBase
Apache PredictionIO
Apache Zeppelin
DigDash
Hue
IRI DarkShield
Lyftrondata
Mage Dynamic Data Masking
Mage Platform
Mage Sensitive Data Discovery
NoSQL
SQL
Shapelets
Trino
WINDEV

Integrations Supported

Amazon EMR
Apache Spark
Data Sentinel
Salesforce Data 360
Apache Flume
Apache HBase
Apache PredictionIO
Apache Zeppelin
DigDash
Hue
IRI DarkShield
Lyftrondata
Mage Dynamic Data Masking
Mage Platform
Mage Sensitive Data Discovery
NoSQL
SQL
Shapelets
Trino
WINDEV

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Apache Software Foundation

Company Website

phoenix.apache.org

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hbase.apache.org

Categories and Features

Relational Database

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

Categories and Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Popular Alternatives

Popular Alternatives

Apache Trafodion Reviews & Ratings

Apache Trafodion

Apache Software Foundation
Apache Cassandra Reviews & Ratings

Apache Cassandra

Apache Software Foundation
Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation
Apache Hive Reviews & Ratings

Apache Hive

Apache Software Foundation