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AWS Storage Gateway VS NumPy

Compare AWS Storage Gateway VS NumPy 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.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • AWS Storage Gateway Landing page
    Landing page //
    2023-04-11
  • NumPy Landing page
    Landing page //
    2023-05-13

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.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

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

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

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

AWS Storage Gateway

NumPy

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 NumPy

AWS Storage Gateway Reviews

We have no reviews of AWS Storage Gateway yet.
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NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than AWS Storage Gateway. While we know about 119 links to NumPy, we've tracked only 7 mentions of AWS Storage Gateway. 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: almost 3 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

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing AWS Storage Gateway and NumPy, 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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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