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ease
features
design
support

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Description

Arctera InfoScale is a high-availability and disaster recovery solution that provides real-time resiliency for businesses across all applications and infrastructure layers. By offering automated recovery and immutable data checkpoints, InfoScale helps companies eliminate downtime and reduce recovery times by up to 98%. The platform ensures complete protection from cyber disruptions by encrypting production data, blocking unauthorized access, and preventing data exfiltration. It supports hybrid cloud deployments, enabling businesses to move workloads with agility and reduce the risk of service disruptions. InfoScale’s flexibility and scalability make it ideal for companies looking to optimize their disaster recovery strategies and ensure critical services are always available. With robust support for containerized applications and open-source platforms, InfoScale guarantees business continuity across diverse environments.

Description

It is commonly believed that containers are primarily suited for stateless applications. Nevertheless, numerous organizations are recognizing the benefits of containerizing their databases for similar reasons as those for their web applications, including the ability to deploy updates more frequently, the simplicity of transitioning from development to staging to production, and the versatility to operate the same workload across various infrastructures. A recent survey by Diamanti has even identified databases as a leading use case for container adoption. Cloud Native infrastructure provides the capability for stateful applications to leverage elasticity and flexibility efficiently. Despite this, events such as hardware malfunctions, power outages, natural disasters, or other unforeseen circumstances can lead to significant data loss. This scenario complicates the recovery process for stateful applications, making it a critical challenge. Consequently, one of the key requirements for cloud native storage solutions is to ensure seamless recovery from such catastrophic incidents, enabling organizations to maintain data integrity and availability. Ultimately, as organizations continue to embrace containerization, addressing these challenges will be essential for maximizing the benefits of their deployments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
Microsoft Azure
Apache Kafka
Aqua
Elastic Cloud
Elasticsearch
F5 NGINX Gateway Fabric
F5 NGINX Ingress Controller
Lenovo ThinkAgile HX Series
MariaDB
MongoDB
NGINX
NeuVector
Red Hat OpenShift
Redis
Twist

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
Microsoft Azure
Apache Kafka
Aqua
Elastic Cloud
Elasticsearch
F5 NGINX Gateway Fabric
F5 NGINX Ingress Controller
Lenovo ThinkAgile HX Series
MariaDB
MongoDB
NGINX
NeuVector
Red Hat OpenShift
Redis
Twist

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Arctera

Founded

2024

Country

United States

Website

www.arctera.io/infoscale

Vendor Details

Company Name

Diamanti

Founded

2014

Country

United States

Website

diamanti.com/cloud-native-storage-and-data-services-with-diamanti/

Product Features

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

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