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What is WANdisco?

Since its introduction in 2010, Hadoop has become an essential part of the data management landscape. Over the last ten years, many companies have adopted Hadoop to improve their data lake infrastructures. Although Hadoop offered a cost-effective method for storing large volumes of data in a distributed fashion, it also introduced various challenges. Managing these systems required specialized IT expertise, and the constraints of on-premises configurations limited the ability to scale according to changing demand. The complexities of overseeing these on-premises Hadoop setups and the resulting flexibility issues are more effectively addressed with cloud-based solutions. To mitigate potential risks and expenses associated with data modernization efforts, many organizations have chosen to optimize their cloud data migration strategies using WANdisco. Their LiveData Migrator functions as a fully self-service platform, removing the necessity for any WANdisco knowledge or assistance. This strategy not only streamlines the migration process but also enables companies to manage their data transitions more effectively. Ultimately, embracing cloud solutions can lead to better resource allocation and more agile data management practices.

What is Hadoop?

The Apache Hadoop software library acts as a framework designed for the distributed processing of large-scale data sets across clusters of computers, employing simple programming models. It is capable of scaling from a single server to thousands of machines, each contributing local storage and computation resources. Instead of relying on hardware solutions for high availability, this library is specifically designed to detect and handle failures at the application level, guaranteeing that a reliable service can operate on a cluster that might face interruptions. Many organizations and companies utilize Hadoop in various capacities, including both research and production settings. Users are encouraged to participate in the Hadoop PoweredBy wiki page to highlight their implementations. The most recent version, Apache Hadoop 3.3.4, brings forth several significant enhancements when compared to its predecessor, hadoop-3.2, improving its performance and operational capabilities. This ongoing development of Hadoop demonstrates the increasing demand for effective data processing tools in an era where data drives decision-making and innovation. As organizations continue to adopt Hadoop, it is likely that the community will see even more advancements and features in future releases.

Media

Media

Integrations Supported

Alibaba Cloud

Integrations Supported

Akira AI
Apache Drill
Apache Mahout
Apache Trafodion
BigBI
FairCom EDGE
Foghub
Google Cloud Bigtable
Huawei Cloud Data Lake Governance Center
HugeGraph
Indexima Data Hub
Mage Dynamic Data Masking
NFVgrid
Occubee
Promethium
Red Hat JBoss Data Virtualization
SCIKIQ
Value Innovation Labs Marketing Automation Platform
Yandex Data Proc

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

WANdisco

Date Founded

2005

Company Location

United States

Company Website

www.wandisco.com/use-cases/cloud-migration

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hadoop.apache.org

Categories and Features

Cloud Migration

Not specified

Data Integration

Not specified

Categories and Features

Big Data

Not specified

Data Lake

Not specified

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