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ease
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design
support

Average Ratings 0 Ratings

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ease
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design
support

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Description

Amazon Relational Database Service (Amazon RDS) simplifies the process of establishing, managing, and scaling a relational database in the cloud. It offers a cost-effective and adjustable capacity while taking care of tedious administrative tasks such as hardware provisioning, setting up databases, applying patches, and performing backups. This allows you to concentrate on your applications, ensuring they achieve fast performance, high availability, security, and compatibility. Amazon RDS supports various database instance types optimized for memory, performance, or I/O, and offers a selection of six well-known database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. Additionally, the AWS Database Migration Service facilitates the seamless migration or replication of your existing databases to Amazon RDS, making the transition straightforward and efficient. Overall, Amazon RDS empowers businesses to leverage robust database solutions without the burden of complex management tasks.

Description

Stop spending unnecessary time on the provisioning and upkeep of databases by automating the process. Instantly generate isolated test databases to accelerate the delivery of features. Empower your developers with the immediate access to essential data they require to keep projects moving swiftly. Seamlessly create pre-populated databases for testing within your CI/CD pipeline and automatically remove them once the testing phase concludes. With just a click, you can quickly and easily set up databases for testing, bug reproduction, demonstrations, and much more, all supported by integrated container orchestration. Utilize our innovative subsetter to condense petabytes of data down to gigabytes while maintaining referential integrity, and then take advantage of Tonic Ephemeral to create a database containing only the necessary data for development, thereby reducing cloud expenses and enhancing productivity. By combining our patented subsetter with Tonic Ephemeral, you can ensure access to all required data subsets for only the duration they are needed. This approach maximizes efficiency by providing your developers with easy access to specific datasets tailored for local development, enabling them to work more effectively. Ultimately, this leads to a more streamlined workflow and better project outcomes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Glue
Amazon Redshift
Acra
Amazon DocumentDB
Amazon ElastiCache
Amazon Quantum Ledger Database (QLDB)
Beats
CloudBolt
Elastic Observability
Evidex
Integrate.io
JSON
JackDB
Lyftrondata
Mir Display Server
Navicat for PostgreSQL
Privacera
ProxySQL
Senzing
Zing Data

Integrations

AWS Glue
Amazon Redshift
Acra
Amazon DocumentDB
Amazon ElastiCache
Amazon Quantum Ledger Database (QLDB)
Beats
CloudBolt
Elastic Observability
Evidex
Integrate.io
JSON
JackDB
Lyftrondata
Mir Display Server
Navicat for PostgreSQL
Privacera
ProxySQL
Senzing
Zing Data

Pricing Details

$0.01 per month
Free Trial
Free Version

Pricing Details

$199 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/rds/

Vendor Details

Company Name

Tonic

Country

United States

Website

www.tonic.ai/ephemeral

Product Features

Database

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

RDBMS

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

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