Related Products
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About
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.
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About
Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.
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About
An enhanced version of PostgreSQL that is continuously synchronized with PostgreSQL's with enhancements for Security, DBA and Developer features and Oracle database compatibility. Manage deployment, high availability and automated failover from Kubernetes. Deploy anywhere with lightweight, immutable Postgres containers. Automate with failover, switchover, backup, recovery, and rolling updates. Operator and images are portable to any cloud so you can avoid lock-in. Overcome containerization and Kubernetes challenges with our experts. Oracle compatibility means you can leave your legacy database without starting over. Migrate database and client applications faster with fewer rewrite problems. Improve the end-user experience by tuning and boosting performance. Deploy on-premises, in the cloud, or both. In a world where downtime means revenue loss, High Availability is key for business continuity.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
DevOps teams, developers, system administrators, etc. seeking a solution to manage their cloud operations
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Audience
Application Developers looking for a Database Management solution
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Audience
Businesses searching for a solution to improve their services and increase sales
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.02 per month
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$1000.00/one-time
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rds/aurora/
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/database/
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Company InformationEDB
Founded: 2004
United States
www.enterprisedb.com
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Alternatives |
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Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
RDBMS Features
Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
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Integrations
Amazon S3
Convizit
CorralData
DB Designer
DTM Data Modeler
DvSum
Luzmo
Nextacular
NocoDB
Oracle Big Data Preparation
|
Integrations
Amazon S3
Convizit
CorralData
DB Designer
DTM Data Modeler
DvSum
Luzmo
Nextacular
NocoDB
Oracle Big Data Preparation
|
Integrations
Amazon S3
Convizit
CorralData
DB Designer
DTM Data Modeler
DvSum
Luzmo
Nextacular
NocoDB
Oracle Big Data Preparation
|
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