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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Amazon DocumentDB, which is compatible with MongoDB, offers a rapid, scalable, highly reliable, and fully managed solution for document database needs, specifically catering to MongoDB workloads. This service simplifies the storage, querying, and indexing of JSON data, making it an ideal choice for developers. Built from the ground up as a non-relational database, Amazon DocumentDB ensures the performance, scalability, and availability crucial for handling mission-critical MongoDB workloads on a large scale. One of its key features is the separation of storage and compute, which allows each component to scale independently. Users can enhance read capacity to millions of requests per second in a matter of minutes by adding up to 15 low-latency read replicas, irrespective of data volume. Additionally, Amazon DocumentDB is engineered for 99.99% availability, maintaining six copies of data across three different AWS Availability Zones (AZs) to ensure redundancy and reliability. This architecture not only enhances data safety but also significantly improves the overall performance of applications that rely on it.

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

APISCRAPY
AWS App Mesh
AWS Glue
AWS Secrets Manager
Amazon DocumentDB
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon OpenSearch Service
Google Cloud BigQuery
Google Sheets
Hackolade
JSON
Magnus Box
Microsoft Excel
PostgreSQL
SQL Server
Streamkap
Tonic
XML

Integrations

APISCRAPY
AWS App Mesh
AWS Glue
AWS Secrets Manager
Amazon DocumentDB
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon OpenSearch Service
Google Cloud BigQuery
Google Sheets
Hackolade
JSON
Magnus Box
Microsoft Excel
PostgreSQL
SQL Server
Streamkap
Tonic
XML

Pricing Details

No price information available.
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

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

Alternatives

Alternatives

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