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What is Rockstor?

Rockstor acts as a multifunctional cloud and storage platform, enabling hackers, creators, resellers, and DIY aficionados to build personalized systems with ease. The importance of storage cannot be overstated in various endeavors involving software and hardware, whether in embedded systems or web applications; however, finding a dependable storage layer that allows for complete control is often challenging. For individuals in search of a simple yet efficient NAS server that eliminates unnecessary complexities, the Rockstor Traditional NAS Server is a top choice, providing centralized storage access through a network. While Linux has proven to be an excellent environment for a variety of applications and features robust filesystems, it has typically lacked alternatives similar to NetApp's WAFL and Sun's ZFS. Fortunately, BTRFS is rapidly filling this void by offering numerous advantageous features. Furthermore, the Rockstor Small and Midsize Business (SMB) Cloud Server stands out as the perfect solution for businesses needing storage solutions that can accommodate several hundred Terabytes, addressing their extensive data storage requirements. With its diverse capabilities, Rockstor’s offerings enable a customized approach to data management, making it an indispensable asset for contemporary developers and enterprises. In an era where data is paramount, having such adaptable storage solutions is essential for fostering innovation and efficiency.

What is Google Cloud Datalab?

Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.

Media

Media

Integrations Supported

DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

Integrations Supported

DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rockstor

Company Location

United States

Company Website

rockstor.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/datalab

Categories and Features

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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