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Average Ratings 0 Ratings

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features
design
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

lakeFS allows you to control your data lake similarly to how you manage your source code, facilitating parallel pipelines for experimentation as well as continuous integration and deployment for your data. This platform streamlines the workflows of engineers, data scientists, and analysts who are driving innovation through data. As an open-source solution, lakeFS enhances the resilience and manageability of object-storage-based data lakes. With lakeFS, you can execute reliable, atomic, and versioned operations on your data lake, encompassing everything from intricate ETL processes to advanced data science and analytics tasks. It is compatible with major cloud storage options, including AWS S3, Azure Blob Storage, and Google Cloud Storage (GCS). Furthermore, lakeFS seamlessly integrates with a variety of modern data frameworks such as Spark, Hive, AWS Athena, and Presto, thanks to its API compatibility with S3. The platform features a Git-like model for branching and committing that can efficiently scale to handle exabytes of data while leveraging the storage capabilities of S3, GCS, or Azure Blob. In addition, lakeFS empowers teams to collaborate more effectively by allowing multiple users to work on the same dataset without conflicts, making it an invaluable tool for data-driven organizations.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Acquia CDP Yes 
AnalyticsCreator Yes 
Ango Hub Yes 
Apache Flink No 
Apache Hive No 
Azure API Management Yes 
Azure Data Share Yes 
Bobsled Yes 
EoleCC Yes 
Hadoop No 
Hydrolix Yes 
Immuta Yes 
MOVEit Yes 
Microsoft Power Platform Yes 
Milvus Yes 
StackAI Yes 
Syncovery Yes 
TROCCO Yes 
Vanti Yes 
Velt Yes 

Integrations

Acquia CDP No 
AnalyticsCreator No 
Ango Hub No 
Apache Flink Yes 
Apache Hive Yes 
Azure API Management No 
Azure Data Share No 
Bobsled No 
EoleCC No 
Hadoop Yes 
Hydrolix No 
Immuta No 
MOVEit No 
Microsoft Power Platform No 
Milvus No 
StackAI No 
Syncovery No 
TROCCO No 
Vanti No 
Velt No 

Pricing Details

$0.00099
per GB
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
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 Yes 
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

Treeverse

Founded

2020

Country

Israel

Website

lakefs.io

Product Features

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Alternatives

Azure Data Lake Reviews

Azure Data Lake

Microsoft

Alternatives