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Average Ratings 0 Ratings
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
Integrations
Ant Media Server
Yes
Apache Airflow
No
Azure API Management
Yes
Azure Blob Storage
No
Blotout
Yes
Cleo Integration Cloud
Yes
Coginiti
Yes
Cribl Search
Yes
Crisp Data Platform
Yes
Hydrolix
Yes
Integrations
Ant Media Server
No
Apache Airflow
Yes
Azure API Management
No
Azure Blob Storage
Yes
Blotout
No
Cleo Integration Cloud
No
Coginiti
No
Cribl Search
No
Crisp Data Platform
No
Hydrolix
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