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What is Azure Data Lake?

Azure Data Lake offers a comprehensive set of features that empower developers, data scientists, and analysts to easily store all kinds of data, regardless of their size or format, while also enabling various processing and analytical tasks across multiple platforms and programming languages. By resolving the complexities related to data ingestion and storage, it greatly speeds up the process of initiating batch, streaming, and interactive analytics. Furthermore, Azure Data Lake is engineered to seamlessly integrate with existing IT infrastructures concerning identity, management, and security, thereby streamlining data governance and overall management. It also allows for smooth integration with operational databases and data warehouses, which helps users enhance their existing data applications. Drawing on a wealth of experience with enterprise clients and handling significant data processing and analytics workloads for major Microsoft services including Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake effectively tackles numerous productivity and scalability challenges that can impede optimal data use. As a result, organizations can effectively harness this robust platform to fully unlock the potential of their data assets, fostering improved decision-making processes and innovative insights that drive business growth. This makes Azure Data Lake not just a tool, but a strategic asset for organizations looking to transform their data into actionable intelligence.

What is ActiveScale?

ActiveScale™ offers comprehensive security, durability, and accessibility for large-scale data management. Data is a critical resource that experiences a lifecycle consisting of creation, usage, and in some instances, perpetual preservation. As organizations encounter an annual data growth rate surpassing 40%, they must tackle the complexities of managing data retention effectively throughout this lifecycle. Sectors such as Life Sciences, Media and Entertainment, Broadcasting, Healthcare, and Financial Services impose strict long-term retention standards, requiring that data remains both secure and easily retrievable; this is vital for establishing market presence, bolstering products and services, and collecting important data from numerous sources like sensors, sequencers, and cameras. To maintain uninterrupted access to data over time, organizations need to emphasize data integrity, build resilient infrastructures, ensure scalability, and provide ongoing, widespread availability of their data. By adopting this forward-thinking strategy, organizations not only protect vital information but also improve operational efficiency and adaptability across diverse industries. Ultimately, prioritizing these elements can significantly contribute to an organization’s success and sustainability in the face of evolving data demands.

Media

Media

Integrations Supported

Activeeon ProActive
Airship
Arctera Enterprise Vault
Avigilon
Azure Databricks
BigLake
Cantemo
Cinegy Workflow
Clarity by Rego
Electrik.Ai
Immuta
Microsoft Azure
Microsoft Power Query
NovaStor DataCenter
Red Hat Cloud Suite
Scality
VMware Cloud
Visual Studio

Integrations Supported

Activeeon ProActive
Airship
Arctera Enterprise Vault
Avigilon
Azure Databricks
BigLake
Cantemo
Cinegy Workflow
Clarity by Rego
Electrik.Ai
Immuta
Microsoft Azure
Microsoft Power Query
NovaStor DataCenter
Red Hat Cloud Suite
Scality
VMware Cloud
Visual Studio

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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/solutions/data-lake/

Company Facts

Organization Name

Quantum

Date Founded

1980

Company Location

United States

Company Website

www.quantum.com/en/products/object-storage/

Categories and Features

Categories and Features

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