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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Microsoft's Azure Storage platform serves as a comprehensive cloud storage solution tailored for contemporary data management needs. It guarantees high availability, impressive scalability, durability, and security for an extensive range of data objects hosted in the cloud. Users can access these data objects globally through HTTP or HTTPS using a REST API, facilitating seamless data retrieval. Additionally, Azure Storage provides client libraries to assist developers in creating applications or services in various programming languages, including .NET, Java, Python, JavaScript, C++, and Go. For scripting data management or configuration tasks, developers and IT experts can utilize Azure PowerShell and Azure CLI effectively. The Azure portal and Azure Storage Explorer serve as intuitive user-interface tools for engaging with Azure Storage resources. The platform's durability and high availability are enhanced by built-in redundancy, ensuring data safety even during temporary hardware failures. Furthermore, users can choose to replicate their data across multiple data centers or geographical regions, offering extra safeguards against local disasters or unforeseen events. This level of protection reinforces Azure Storage’s commitment to providing reliable and secure cloud storage solutions for its users.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Athena No 
Amazon SES No 
Auguria Yes 
Autobahn DX Yes 
Azure Database for MariaDB Yes 
Beats Yes 
Delta Lake No 
Elastic Observability Yes 
Fleece AI Yes 
Igloo Yes 
ImageKit.io Yes 
Kapacitor Yes 
LionO360 Yes 
MLflow No 
Netreo Yes 
New Relic Yes 
Reekoh Yes 
TruffleHog Yes 
Zmanda Yes 

Integrations

Amazon Athena Yes 
Amazon SES Yes 
Auguria No 
Autobahn DX No 
Azure Database for MariaDB No 
Beats No 
Delta Lake Yes 
Elastic Observability No 
Fleece AI No 
Igloo No 
ImageKit.io No 
Kapacitor No 
LionO360 No 
MLflow Yes 
Netreo No 
New Relic No 
Reekoh No 
TruffleHog No 
Zmanda No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
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) No 
Online Support Yes 

Customer Support

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

Types of Training

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

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

docs.microsoft.com/en-us/azure/storage/common/storage-introduction

Vendor Details

Company Name

Treeverse

Founded

2020

Country

Israel

Website

lakefs.io

Product Features

Cloud Storage

Access Control No 
Archiving & Retention Yes 
Backup No 
Data Migration Yes 
Data Synchronization No 
Encryption Yes 
File Sharing Yes 
Version Control No 

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 

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