Audience

Enterprise IT, CIO, Data Architect, Pharma, Bioscience, Gene, Life Science, Media and Entertainment, Research, University, Oil and Gas, Hyperscaler, Financial Services, Automotive, Gaming, Marine, Government, EDA, System Integrator, Google, Amazon AWS, Microsoft Azure, Oracle Cloud, IBM Cloud, NVIDIA Cloud,

About Zettar zx

Zettar zx: High-Performance Data Transfer and Migration

Use Cases:

* Replication & Sync
* Data Migration
* Transparent Tiering
* In-Cloud Migration
* Hybrid Cloud Data Movement
* Data Centralization for AI and analytics platforms
* Autonomous vehicle data collection
* Recurring edge-to-core and edge-to-cloud ingest workloads
* Data Backups and Recovery
* Data staging
* Petabyte-scale Data transfer & Billion Files Transfer
* Data Transfer Forwarding
* Real-time streaming

Key Features:

* Peer-to-Peer Scale-Out: Lightning-fast data transfers with cluster-level parallel processing.
* Transparent Compression
* Works with Ethernet, InfiniBand, and any speed.
* Handles files, objects (including S3 AWS), and S3 multipart REST APIs.
* Simultaneous send and receive capabilities. Users can have their own data area for reading and writing.
* Secure and Reliable: TLS encryption for secure data transit.
* SDK & API Integration
* Web Access

Pricing

Free Trial:
Free Trial available.

Integrations

No integrations listed.

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Zettar
Founded: 2015
United States
zettar.com

Videos and Screen Captures

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Product Details

Platforms Supported
Linux
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

Zettar zx Frequently Asked Questions

Q: What kinds of users and organization types does Zettar zx work with?
Q: What languages does Zettar zx support in their product?
Q: What kind of support options does Zettar zx offer?
Q: What type of training does Zettar zx provide?
Q: Does Zettar zx offer a free trial?

Zettar zx Product Features

Data Management

Information Governance
Data Analysis
Data Migration
Data Quality Control
Master Data Management
Customer Data
Data Integration
Match & Merge
Data Capture
Data Security