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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.

Description

Provides the full range of features found in on-premises Informix deployments, but with reduced cost, complexity, and risk associated with infrastructure management. The IBM® Informix® on Cloud solution delivers an Informix database hosted on IBM Cloud®, allowing customers to enjoy the extensive capabilities of an on-premises setup while minimizing the challenges of infrastructure upkeep. With Informix on Cloud, users benefit from a high-performance engine that seamlessly combines time series, spatial, NoSQL, and SQL data, along with convenient access via MQTT, REST, and MongoDB APIs. This offering not only simplifies and accelerates cloud deployments but also harnesses the superior performance of the Informix engine, which is designed to integrate diverse data types effortlessly. By leveraging flexible hosting options and adaptable software licensing, businesses can lower their infrastructure maintenance costs and streamline operational complexity, all while selecting the size that best fits their specific requirements, backed by continuous support. This makes Informix on Cloud an ideal choice for organizations looking to modernize their data management strategies without the traditional burdens of self-hosting.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
COZYROC SSIS+ Suite
Data Sentinel
Hadoop
IBM Informix
MongoDB
NoSQL
Python
SQL
Salesforce Data Cloud
Trino

Integrations

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
COZYROC SSIS+ Suite
Data Sentinel
Hadoop
IBM Informix
MongoDB
NoSQL
Python
SQL
Salesforce Data Cloud
Trino

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$1,250 per instance
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Website

phoenix.apache.org

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/informix

Product Features

Relational Database

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

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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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