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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Addressing issues of data accuracy and alignment is essential to provide consumers with a more profound insight into their data landscape. By implementing a flexible and feature-rich business intelligence and analytics platform, organizations can gain the capabilities necessary to design intricate dashboards and reports tailored to user requirements. Collaborating with a company that prioritizes customer needs can empower your business to establish a sustainable competitive edge in the market. With the ability to connect to various open data sources—ranging from conventional databases and flat files to Excel sheets and web-based data via APIs—users can seamlessly integrate information. Incorporating advanced features such as self-service capabilities, data exploration, and external administrative functionalities enhances user experience. Data can be visualized through an extensive array of chart types, or customized visual representations can be created using scorecards and small multiples. Furthermore, seamless connectivity to diverse data repositories, including cloud data warehouses, Hadoop, NoSQL document stores, streaming data, and search engines, allows for comprehensive data management and analysis. This holistic approach not only improves data interaction but also fosters a culture of informed decision-making within the organization.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3forge Yes 
Amazon EMR Yes 
Apache Flume Yes 
Apache HBase Yes 
Apache Hive Yes 
Apache Spark Yes 
Data Sentinel Yes 
Hadoop Yes 
NoSQL Yes 
Python Yes 
SQL Yes 
Salesforce Data 360 Yes 
Trino Yes 

Integrations

3forge No 
Amazon EMR No 
Apache Flume No 
Apache HBase No 
Apache Hive No 
Apache Spark No 
Data Sentinel No 
Hadoop No 
NoSQL No 
Python No 
SQL No 
Salesforce Data 360 No 
Trino No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$20 per month
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Website

phoenix.apache.org

Vendor Details

Company Name

insightsoftware

Country

United States

Website

insightsoftware.com/logi-analytics/logi-symphony/

Product Features

Relational Database

ACID Compliance No 
Data Failure Recovery No 
Multi-Platform No 
Referential Integrity No 
SQL DDL Support No 
SQL DML Support No 
System Catalog No 
Unicode Support No 

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis Yes 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

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