Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The Empress Embedded Database engine serves as the vital component of the EMPRESS RDBMS, which is a relational database management system that excels in embedded database technology, powering everything from automotive navigation systems to essential military command and control operations, as well as Internet routers and sophisticated medical applications; EMpress consistently operates around the clock at the heart of embedded systems across various industries. One standout feature of Empress is its kernel level mr API, which offers users direct access to the libraries of the Embedded Database kernel, ensuring the quickest way to reach Empress databases. By utilizing MR Routines, developers gain unparalleled control over time and space when creating real-time embedded database applications. Furthermore, the Empress ODBC and JDBC APIs allow applications to interact with Empress databases in both standalone and client/server environments, enabling a variety of third-party software packages that support ODBC and JDBC to easily connect to a local Empress database or through the Empress Connectivity Server. This versatility makes Empress a preferred choice for developers seeking robust and efficient database solutions in embedded systems.
API Access
Has API
Yes
API Access
Has API
No
Integrations
3forge
Yes
ActiveScale
No
Amazon EMR
Yes
Apache Flume
Yes
Apache HBase
Yes
Apache Hive
Yes
Apache Spark
Yes
Captain Compliance
No
Data Sentinel
Yes
Hadoop
Yes
Integrations
3forge
No
ActiveScale
Yes
Amazon EMR
No
Apache Flume
No
Apache HBase
No
Apache Hive
No
Apache Spark
No
Captain Compliance
Yes
Data Sentinel
No
Hadoop
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
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
Yes
Windows
Yes
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Website
phoenix.apache.org
Vendor Details
Company Name
Empress Software
Country
United States
Website
www.empress.com
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
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
No
Data Replication
No
Data Search
Yes
Data Security
Yes
Database Conversion
No
Mobile Access
Yes
Monitoring
No
NOSQL
Yes
Performance Analysis
Yes
Queries
Yes
Relational Interface
No
Virtualization
No
Relational Database
ACID Compliance
Yes
Data Failure Recovery
Yes
Multi-Platform
Yes
Referential Integrity
Yes
SQL DDL Support
Yes
SQL DML Support
Yes
System Catalog
Yes
Unicode Support
Yes