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AWS Storage Gateway VS Scikit-learn

Compare AWS Storage Gateway VS Scikit-learn and see what are their differences

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AWS Storage Gateway logo AWS Storage Gateway

AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • AWS Storage Gateway Landing page
    Landing page //
    2023-04-11
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

AWS Storage Gateway features and specs

  • Hybrid Cloud Capabilities
    AWS Storage Gateway allows seamless integration between on-premises storage and AWS cloud, ensuring a smooth transition and hybrid cloud operations without disrupting existing workflows.
  • Backup and Disaster Recovery
    The service provides robust options for backing up and archiving data to S3, Glacier, and other AWS storage solutions, enhancing data protection and disaster recovery capabilities.
  • Scalability
    AWS Storage Gateway leverages the scalable nature of AWS cloud storage, enabling businesses to scale their storage needs up or down with ease, based on demand.
  • Cost Efficiency
    By offloading storage to AWS, organizations can reduce the need for expensive on-premises storage infrastructure, paying only for the storage they use.
  • Data Security and Compliance
    AWS provides strong security measures, including encryption at rest and in transit, as well as compliance with several industry standards, which helps businesses meet regulatory requirements.
  • Improved Data Management
    The integration with AWS services allows for enhanced data management and analytics capabilities, facilitating better data insights and business intelligence.

Possible disadvantages of AWS Storage Gateway

  • Dependency on Internet Connectivity
    Since AWS Storage Gateway relies on internet connectivity for data transfer to AWS cloud, any network downtime can disrupt access to data.
  • Upfront Learning Curve
    Implementing and managing AWS Storage Gateway may require a learning curve for IT staff, especially those who are not familiar with AWS services.
  • Ongoing Costs
    While AWS Storage Gateway can reduce on-premises infrastructure costs, there are ongoing cloud storage and data transfer fees which can accumulate over time.
  • Data Transfer Latency
    Transferring large amounts of data over the internet to AWS cloud storage can introduce latency, which might not be ideal for applications requiring real-time data access.
  • Potential Vendor Lock-in
    Relying heavily on AWS services may lead to vendor lock-in, making it challenging to switch providers or migrate workloads in the future.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

AWS Storage Gateway videos

+ Add

Cloud Storage in Minutes with AWS Storage Gateway

More videos:

  • Tutorial - What is AWS Storage Gateway | Cloud Storage Gateway Tutorial
  • Demo - AWS Storage Gateway Demo

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to AWS Storage Gateway and Scikit-learn)

AWS Storage Gateway

Scikit-learn

Cloud Storage
100 100%
Cloud Storage
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Cloud Computing
100 100%
Cloud Computing
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Storage Gateway and Scikit-learn

AWS Storage Gateway Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than AWS Storage Gateway. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Storage Gateway mentions (7)

  • Best way to use ftp(s) to s3 for document upload?
    Could Storage Gateway help here? EC2 fronts the FTP endpoint to a file server that is Storage Gateway? Source: over 2 years ago
  • Allow S3 files to be accessed from an on-prem app
    One option is https://aws.amazon.com/storagegateway/ (plus VPN). Source: over 2 years ago
  • self hosted s3 server?
    That helps, thank you. You might have a look at AWS' Storage Gateway, more specifically the S3 File Gateway. Source: almost 3 years ago
  • Are there tools or service that provide near realtime file sync to s3
    I *think* storage gateway can do this (https://aws.amazon.com/storagegateway/). Also, several of the Amazon FSx services can, I think. They all basically mean you have a remote file system to which you write, and that file system gets backed up to FSx. Source: almost 3 years ago
  • Best way to approach scheduling a call to move data (csv) from my ERP system to S3?
    You can deploy Storage gateway in your local environment, and copy the files to storage gateway, it will automatically sync the files to s3. Source: over 3 years ago
View more

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing AWS Storage Gateway and Scikit-learn, you can also consider the following products

VMware vSAN - VMware vSAN is radically simple, enterprise-class software-defined storage powering VMware hyper-converged infrastructure. 

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Azure Storage Explorer - Easily manage your Azure storage accounts in the cloud, from Windows, macOS, or Linux, using Azure Storage Explorer.

OpenCV - OpenCV is the world's biggest computer vision library

Zadara Storage - Enterprise Storage-as-a-Service Solutions (STaaS). On premises or in the cloud. Fully-managed 24/7. Pay only for what you use. Leading companies worldwide trust Zadara Data Storage. Proud to be the best cloud storage option

NumPy - NumPy is the fundamental package for scientific computing with Python

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