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ease
features
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support

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Write a Review

Description

Azure Blob Storage offers a highly scalable and secure object storage solution tailored for a variety of applications, including cloud-native workloads, data lakes, high-performance computing, archives, and machine learning projects. It enables users to construct data lakes that facilitate analytics while also serving as a robust storage option for developing powerful mobile and cloud-native applications. With tiered storage options, users can effectively manage costs associated with long-term data retention while having the flexibility to scale up resources for intensive computing and machine learning tasks. Designed from the ground up, Blob storage meets the stringent requirements for scale, security, and availability that developers of mobile, web, and cloud-native applications demand. It serves as a foundational element for serverless architectures, such as Azure Functions, further enhancing its utility. Additionally, Blob storage is compatible with a wide range of popular development frameworks, including Java, .NET, Python, and Node.js, and it uniquely offers a premium SSD-based object storage tier, making it ideal for low-latency and interactive applications. This versatility allows developers to optimize their workflows and improve application performance across various platforms and environments.

Description

Easily create and execute highly parallel data transformation and processing tasks using U-SQL, R, Python, and .NET across vast amounts of data. With no need to manage infrastructure, you can process data on demand, scale up instantly, and incur costs only per job. Azure Data Lake Analytics allows you to complete big data tasks in mere seconds. There’s no infrastructure to manage since there are no servers, virtual machines, or clusters that require monitoring or tuning. You can quickly adjust the processing capacity, measured in Azure Data Lake Analytics Units (AU), from one to thousands for every job. Payment is based solely on the processing used for each job. Take advantage of optimized data virtualization for your relational sources like Azure SQL Database and Azure Synapse Analytics. Your queries benefit from automatic optimization, as processing is performed close to the source data without requiring data movement, thereby enhancing performance and reducing latency. Additionally, this setup enables organizations to efficiently utilize their data resources and respond swiftly to analytical needs.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Ant Media Server Yes 
Azure Data Science Virtual Machines Yes 
Azure Marketplace Yes 
Beats Yes 
CVAT Yes 
Cribl Search Yes 
Cribl Stream Yes 
FLIP Yes 
Microsoft Power Platform Yes 
Observo AI Yes 
OpenCost Yes 
Openbridge No 
Panorama AI Yes 
Prodea Yes 
RudderStack Yes 
Trend Micro PortalProtect Yes 
Velt Yes 
gopaddle Yes 

Integrations

Ant Media Server No 
Azure Data Science Virtual Machines No 
Azure Marketplace No 
Beats No 
CVAT No 
Cribl Search No 
Cribl Stream No 
FLIP No 
Microsoft Power Platform No 
Observo AI No 
OpenCost No 
Openbridge Yes 
Panorama AI No 
Prodea No 
RudderStack No 
Trend Micro PortalProtect No 
Velt No 
gopaddle No 

Pricing Details

$0.00099
per GB
Free Trial Yes 
Free Version Yes 

Pricing Details

$2 per hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/storage/blobs/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/data-lake-analytics/

Product Features

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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