Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Amazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Salesforce Data 360 Yes 
3forge No 
AWS App Mesh Yes 
AWS Secrets Manager Yes 
Adverity Yes 
Amazon Macie Yes 
Apache Spark No 
Arcion Yes 
ClicData Yes 
CompareData Yes 
DataClarity Unlimited Analytics Yes 
JackDB Yes 
LightBeam.ai Yes 
NXT1 LaunchIT Yes 
NocoDB Yes 
OtterTune Yes 
Releem Yes 
Satori Yes 
TiDB Cloud Yes 
Tonic Yes 

Integrations

Salesforce Data 360 Yes 
3forge Yes 
AWS App Mesh No 
AWS Secrets Manager No 
Adverity No 
Amazon Macie No 
Apache Spark Yes 
Arcion No 
ClicData No 
CompareData No 
DataClarity Unlimited Analytics No 
JackDB No 
LightBeam.ai No 
NXT1 LaunchIT No 
NocoDB No 
OtterTune No 
Releem No 
Satori No 
TiDB Cloud No 
Tonic No 

Pricing Details

$0.02
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/rds/aurora/

Vendor Details

Company Name

Apache Software Foundation

Website

phoenix.apache.org

Product Features

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication Yes 
Data Search Yes 
Data Security Yes 
Database Conversion Yes 
Mobile Access Yes 
Monitoring Yes 
NOSQL No 
Performance Analysis Yes 
Queries Yes 
Relational Interface Yes 
Virtualization Yes 

RDBMS

Backup Yes 
Data Migration Yes 
Monitoring Yes 
Performance Analysis Yes 
Queries Yes 
Storage Optimization Yes 

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 

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 

Alternatives

Alternatives

Apache Trafodion Reviews

Apache Trafodion

Apache Software Foundation
Amazon RDS Reviews

Amazon RDS

Amazon
Apache Spark Reviews

Apache Spark

Apache Software Foundation