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What is QueryPlus?

QueryPlus© represents a significant advancement in the realm of insurance reporting solutions. Leveraging your input, it effortlessly generates complex SQL queries behind the scenes, delivering results in a user-friendly grid layout that facilitates easy data manipulation through intuitive drag-and-drop functionality. Whether you need insights on customer rankings or in-depth accounting reports, QueryPlus© guarantees timely and effective access to crucial business data. For agencies with more complex reporting demands, the platform includes a customized report designer that allows users to create even the most detailed reports using tailored datasets. While many users lean toward Excel for data management, QueryPlus© distinguishes itself as the premier option for those in search of robust and comprehensive reporting capabilities. Additionally, this tool incorporates a visually-driven, wizard-based interface for report creation, making it straightforward and efficient for users of all skill levels. Ultimately, QueryPlus© merges flexibility with user-friendliness, effectively addressing a broad spectrum of reporting needs and catering to diverse preferences in the process. In this way, it not only enhances productivity but also elevates the overall reporting experience.

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

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

QualCorp

Date Founded

1992

Company Location

United States

Company Website

www.qualcorp.com/qplus.aspx

Company Facts

Organization Name

Apache Software Foundation

Company Website

phoenix.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

Embedded Database

Not specified

Relational Database

Not specified

SQL Databases

Not specified

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