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What is Apache Derby?

Apache Derby is a project under the Apache DB umbrella that functions as an open-source relational database, crafted entirely in Java and made available under the Apache License, Version 2.0. Its core engine, which includes an integrated JDBC driver, is remarkably lightweight at around 3.5 megabytes, emphasizing efficiency and ease of use. Derby features an embedded JDBC driver, enabling seamless integration into any Java-based application. Beyond its embedded functionality, it also supports a client/server setup via the Derby Network Client JDBC driver and Derby Network Server, thereby offering diverse options for database management. This versatility and lightweight nature make Derby an attractive option for developers in search of a flexible database solution that can easily adapt to various project needs. Furthermore, its open-source nature allows for community contributions and enhancements, further solidifying its position in the database management landscape.

What is Amazon Aurora?

Amazon Aurora is a cloud-native relational database designed to work seamlessly with both MySQL and PostgreSQL, offering the high performance and reliability typically associated with traditional enterprise databases while also providing the cost-effectiveness and simplicity of open-source solutions. Its performance is notably superior, achieving speeds up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. Moreover, it combines the security, availability, and reliability expected from commercial databases, all at a remarkably lower price point—specifically, only one-tenth of the cost. Managed entirely by the Amazon Relational Database Service (RDS), Aurora streamlines operations by automating critical tasks such as hardware provisioning, database configuration, patch management, and backup processes. This database features a fault-tolerant storage architecture that can automatically scale to support database instances as large as 64TB. Additionally, Amazon Aurora enhances performance and availability through capabilities like up to 15 low-latency read replicas, point-in-time recovery, continuous backups to Amazon S3, and data replication across three separate Availability Zones, all of which improve data resilience and accessibility. These comprehensive features not only make Amazon Aurora an attractive option for businesses aiming to harness the cloud for their database requirements but also ensure they can do so while enjoying exceptional performance and security measures. Ultimately, adopting Amazon Aurora can lead to reduced operational overhead and greater focus on innovation.

Media

Media

Integrations Supported

DataClarity Unlimited Analytics
Gravity Data
RazorSQL
SQLife

Integrations Supported

DataClarity Unlimited Analytics
Gravity Data
RazorSQL
Amazon Macie
Amazon Q
Amazon S3
B2Sell
Coginiti
Commvault HyperScale X
Delphix
Devii
Fullcast
N2WS Backup & Recovery
NXT1 LaunchIT
NocoDB
Progress DataDirect
Scriptcase
TrustLogix
ketteQ

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.02
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United States

Company Website

db.apache.org/derby/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rds/aurora/

Categories and Features

Relational Database

Not specified

SQL Databases

Not specified

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
Performance Analysis
Queries
Relational Interface
Virtualization

Distributed Databases

Not specified

OLAP Databases

Not specified

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

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