Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The consumption of Azure storage is surging at an astonishing rate, surpassing earlier forecasts. As organizations expand their data footprint, they are eager to leverage Azure's seemingly endless storage capabilities and resources. However, with the increase in storage needs, it becomes challenging to monitor the specific areas of storage consumption, which can lead to rising Azure costs and potential budget overruns.
With Cloud Storage Manager, you can quickly identify your storage usage patterns, enabling you to regain control and reduce expenses.
This tool offers an Azure Explorer-like perspective of all your Azure Blobs and the contents of your Azure Files. Through this interface, you can access detailed information for each Blob, including its size, creation date, last modified date, and the current Storage Tiering classification of the Blob. Additionally, by utilizing this comprehensive overview, organizations can optimize their storage strategies and make informed decisions regarding their Azure resources.
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
No images available
Integrations
Azure Blob Storage
Yes
Amazon Athena
No
Amazon Kinesis
No
Amazon S3
No
Amazon SES
No
Amazon Web Services (AWS)
No
Apache Airflow
No
Apache Flink
No
Apache Hive
No
Apache Kafka
No
Integrations
Azure Blob Storage
Yes
Amazon Athena
Yes
Amazon Kinesis
Yes
Amazon S3
Yes
Amazon SES
Yes
Amazon Web Services (AWS)
Yes
Apache Airflow
Yes
Apache Flink
Yes
Apache Hive
Yes
Apache Kafka
Yes
Pricing Details
$500
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
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)
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
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
SmiKar Software
Founded
2015
Country
Australia
Website
www.smikar.com/cloud-storage-manager/
Vendor Details
Company Name
Treeverse
Founded
2020
Country
Israel
Website
lakefs.io
Product Features
Cloud Storage
Access Control
No
Archiving & Retention
No
Backup
No
Data Migration
No
Data Synchronization
No
Encryption
No
File Sharing
No
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