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ease
features
design
support

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Description

Amazon Keyspaces, an advanced database service compatible with Apache Cassandra, offers a scalable and highly available solution that is fully managed. This service allows you to seamlessly execute your Cassandra workloads on AWS using the same application code and developer tools that are already in your toolkit. There is no need for you to provision, patch, or oversee servers, nor to install or manage any software. Operating on a serverless model, Amazon Keyspaces ensures that you only pay for the resources you utilize, with the ability to automatically adjust table capacity in alignment with application demand. You can develop applications capable of handling thousands of requests every second while benefiting from almost limitless throughput and storage options. Amazon Keyspaces empowers you with the performance, flexibility, and essential enterprise features necessary for managing critical Cassandra workloads effectively at scale. Additionally, it supports rapid data processing for applications that demand extremely low latency, making it ideal for scenarios such as industrial equipment maintenance and trade monitoring, ensuring that your business operations remain efficient and responsive.

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

Amazon DocumentDB
Amazon EMR
Amazon Redshift
Apache Avro
Apache Parquet
Apache Spark
Azure Databricks
Deep Instinct
Google Cloud BigQuery
Google Sheets
HTML
MariaDB
Microsoft Excel
MySQL
Oracle Cloud Infrastructure
RazorSQL
SQL Server
Snowflake
Tonic
XML

Integrations

Amazon DocumentDB
Amazon EMR
Amazon Redshift
Apache Avro
Apache Parquet
Apache Spark
Azure Databricks
Deep Instinct
Google Cloud BigQuery
Google Sheets
HTML
MariaDB
Microsoft Excel
MySQL
Oracle Cloud Infrastructure
RazorSQL
SQL Server
Snowflake
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/keyspaces/

Vendor Details

Company Name

Tonic

Country

United States

Website

www.tonic.ai/ephemeral

Product Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Alternatives

Alternatives

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