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What is solidDB?

solidDB has achieved worldwide acclaim for its exceptional capability to deliver data with extraordinary speed. It boasts millions of installations across various sectors, including telecommunications, enterprise applications, and embedded systems. Major corporations such as Cisco, HP, Alcatel, Nokia, and Siemens rely on solidDB for their most essential operations. By utilizing in-memory storage rather than traditional disk systems, solidDB significantly surpasses the performance of conventional databases. This innovative approach enables applications to reach throughputs of hundreds of thousands to millions of transactions per second, with response times measured in just microseconds. Additionally, solidDB incorporates advanced features that bolster data availability, ensuring consistent uptime, minimizing data loss, and expediting recovery procedures. Beyond its groundbreaking performance, solidDB is also crafted to empower administrators with the ability to tailor the software to fit specific application needs, while offering user-friendly functionalities that facilitate deployment and management, ultimately leading to a reduced total cost of ownership (TCO). The blend of superior performance, customization options, and ease of management positions solidDB as a highly sought-after solution in the competitive realm of data management technologies. As businesses continue to demand faster and more reliable data solutions, solidDB stands out as a go-to choice for organizations aiming to enhance their operational efficiency.

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

RazorSQL

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

Pricing Information

Free
Free Version

Supported Platforms

Windows
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

UNICOM Systems

Company Website

www.teamblue.unicomsi.com/products/soliddb/

Company Facts

Organization Name

Apache Software Foundation

Company Website

phoenix.apache.org

Categories and Features

Embedded Database

Not specified

Relational Database

Not specified

Categories and Features

Embedded Database

Not specified

Relational Database

Not specified

SQL Databases

Not specified

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