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Pandas VS AWS Storage Gateway

Compare Pandas VS AWS Storage Gateway and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pandas logo Pandas

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

AWS Storage Gateway logo AWS Storage Gateway

AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • AWS Storage Gateway Landing page
    Landing page //
    2023-04-11

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

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.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

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

Category Popularity

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

Pandas

AWS Storage Gateway

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Cloud Computing
0 0%
Cloud Computing
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 Pandas and AWS Storage Gateway

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

AWS Storage Gateway Reviews

We have no reviews of AWS Storage Gateway yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than AWS Storage Gateway. While we know about 219 links to Pandas, 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.

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
  • 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
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
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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

What are some alternatives?

When comparing Pandas and AWS Storage Gateway, you can also consider the following products

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

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

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

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

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