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What is NetApp MetroCluster?

NetApp MetroCluster configurations comprise two separate ONTAP clusters located in different geographic areas, working in tandem to ensure continuous data availability and protection of storage virtual machines (SVMs). Each cluster perpetually synchronizes its data aggregates with its counterpart, ensuring both sites retain identical data copies at all times. In the event of a site failure, administrators can swiftly engage the mirrored SVM on the site that is still operational, guaranteeing that data services remain uninterrupted. The MetroCluster setup supports both fabric-attached (FC) and IP-based cluster designs: the fabric-attached version employs FC transport for SyncMirror synchronization between the locations, while the MetroCluster IP variant operates over layer-2 stretched IP networks. Deployments of Stretch MetroCluster allow for extensive coverage across an entire campus, and with ONTAP versions 9.12.1 and 9.15.1, MetroCluster IP configurations can manage up to four nodes utilizing NVMe/FC or NVMe/TCP technologies. Additionally, front-end SAN protocols—including FC, FCoE, and iSCSI—are fully integrated within this architecture, which significantly enhances the overall adaptability of MetroCluster solutions. This versatile design caters to a wide range of enterprise requirements, making it a highly appealing choice for organizations aiming to refine their data management practices while ensuring comprehensive data protection and availability. Ultimately, the MetroCluster provides a robust framework that can evolve as business needs change, solidifying its role as a critical component in modern data infrastructure strategies.

What is Apache Kafka?

Apache Kafka® is a powerful, open-source solution tailored for distributed streaming applications. It supports the expansion of production clusters to include up to a thousand brokers, enabling the management of trillions of messages each day and overseeing petabytes of data spread over hundreds of thousands of partitions. The architecture offers the capability to effortlessly scale storage and processing resources according to demand. Clusters can be extended across multiple availability zones or interconnected across various geographical locations, ensuring resilience and flexibility. Users can manipulate streams of events through diverse operations such as joins, aggregations, filters, and transformations, all while benefiting from event-time and exactly-once processing assurances. Kafka also includes a Connect interface that facilitates seamless integration with a wide array of event sources and sinks, including but not limited to Postgres, JMS, Elasticsearch, and AWS S3. Furthermore, it allows for the reading, writing, and processing of event streams using numerous programming languages, catering to a broad spectrum of development requirements. This adaptability, combined with its scalability, solidifies Kafka's position as a premier choice for organizations aiming to leverage real-time data streams efficiently. With its extensive ecosystem and community support, Kafka continues to evolve, addressing the needs of modern data-driven enterprises.

Media

Media

Integrations Supported

5GSoftware
Bicycle AI
BigBI
Conduit
D2iQ
DataHub
EmailSuccess
GlassFlow
Ikigai
IronCore Labs
JFrog ML
Onum
RTView
Redpanda Agentic Data Plane
Rocket Data Replicate & Sync
SSIS Integration Toolkit
SingleStore
TrapStation
Utilihive
Wallaroo.AI

Integrations Supported

5GSoftware
Bicycle AI
BigBI
Conduit
D2iQ
DataHub
EmailSuccess
GlassFlow
Ikigai
IronCore Labs
JFrog ML
Onum
RTView
Redpanda Agentic Data Plane
Rocket Data Replicate & Sync
SSIS Integration Toolkit
SingleStore
TrapStation
Utilihive
Wallaroo.AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NetApp

Date Founded

1992

Company Location

United States

Company Website

docs.netapp.com/us-en/ontap/concepts/mcc-config-concept.html

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

kafka.apache.org

Categories and Features

Categories and Features

iPaaS

AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

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