Software Alternatives, Accelerators & Startups
Register | Login

NumPy VS Backblaze

Compare NumPy VS Backblaze and see what are their differences

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Backblaze logo Backblaze

Backblaze's remote backup automatically backs up your data to our secure datacenter.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Backblaze Landing page
    Landing page //
    2023-10-17

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.

Backblaze features and specs

  • Unlimited Storage
    Backblaze offers unlimited storage for a fixed price, making it an excellent option for users with large amounts of data.
  • Simple Pricing
    Backblaze has a straightforward pricing model without hidden fees, simplifying budgeting for cloud storage.
  • Automatic Backups
    Backblaze provides automatic, continuous backups, ensuring that your data is consistently backed up without manual intervention.
  • Ease of Use
    The interface and setup process are user-friendly, making it accessible even for those with limited technical knowledge.
  • Rapid Restore
    Backblaze offers multiple restore options, including via hard drive delivery, which can significantly speed up the process of data recovery.
  • Highly Secure
    Using AES 256-bit encryption and optional private encryption keys, Backblaze places a strong emphasis on data security.

Possible disadvantages of Backblaze

  • No File Sync
    Unlike some competitors, Backblaze does not offer file syncing capabilities, limiting its usefulness for collaborative or cross-device work.
  • Initial Backup Speed
    The initial backup process can be slow, especially for users with large amounts of data and slower internet connections.
  • Limited Versioning
    Backblaze retains versions of files for 30 days only, which might be insufficient for some users who need longer-term versioning.
  • No Linux Support
    Backblaze does not support Linux operating systems, which can be a deal-breaker for users who rely on this platform.
  • Geographical Limitations
    Backblaze’s data centers are predominantly located in the United States, which might pose latency issues for international users.

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.

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

Backblaze videos

+ Add

Backblaze Review - I ALMOST LOST IT ALL!

More videos:

  • Tutorial - BackBlaze Backup Review and Tutorial 2020
  • Review - The Ultimate Cloud Storage Backup Option - Backblaze

Category Popularity

0-100% (relative to NumPy and Backblaze)

NumPy

Backblaze

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Backup And Disaster Recovery
0 0%
Backup And Disaster Recovery
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100

User comments

Share your experience with using NumPy and Backblaze. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Backblaze

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

Backblaze Reviews

Best Top 12 MEGA Alternatives in 2024
Backblaze is a streamlined and secure online backup service. It's beginner-friendly and works well for backing up data from a variety of cloud services, such as backing up Google Drive to Backblaze. However, if you want more control over your backups, Backblaze may frustrate you.
Source: www.multcloud.com
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
When you use a Big 3 provider, like Azure Blob Storage or Amazon S3, you’re often paying for reliable storage that a vast swath of enterprises with low-risk tolerance can bet the farm on. Azure has a wide range of options for replication (which has a considerable impact on the reliability of your storage), including LRS (Low Redundancy Storage) if you want to save some cost....
Source: dev.to
Raising Prices is Hard
Every time a person leaves Backblaze we send one final email thanking them for their time with us, wishing them well, and asking if they have any feedback. Those emails go directly into our ticketing system where I read all of them every month to get a picture of why people are leaving Backblaze. Sometimes they are reasons we cannot address, but if we can, they go on our...
Source: www.backblaze.com
Google Drive Alternatives: 10 Best Cloud Storage Services
Thus if you have some sensitive files, you can choose not to upload them to the cloud. Once you set up the service, everything happens automatically without you having to do anything. The only problem with this service will happen once you want to restore your data, as your backup over time can become really large and it will take a long time to download it all. Apart from...
Source: beebom.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than Backblaze. It has been mentiond 119 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.

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

Backblaze mentions (42)

  • The Tech Stack of a Cloud Computing Startup
    Redis handles caching to keep things quick, and we stash blobs like Backups (encrypted at rest of course) in Backblaze for cheap, dependable object storage. - Source: dev.to / 2 months ago
  • What is this red exclamation mark in my Mac preferences view?
    I've been seeing this red exclamation mark in my Backblaze preferences view on my Mac. When I click it, it only takes me to my account view on backblaze.com. Obviously, it's intended to indicate that something isn't right, but I get no information. I recently deleted my existing backup and am starting fresh with my personal machine and two external drives. I'm running 8.5.0.660 (20230127194041) on Ventura 13.1.1 (a). Source: about 2 years ago
  • Unable to login
    What seems to be happening here is that the OP's ISP is blocking backblazeb2.com (where the API servers and all the files are), but allowing backblaze.com (where the login page is). Source: about 2 years ago
  • Best Cloud Storage for 4 TB data (EU - IT) MAC
    For more than that or for more fractioned billing, I'd suggest using Backblaze (neat price comparison https://www.vmwareblog.org/looking-affordable-cloud-storage-aws-vs-azure-vs-backblaze-b2/). They charge for data retrievals like 2 cents per GB. Source: over 2 years ago
  • Collaborative image-storage solution
    I was going to mention Backblaze or Wasabi first. Yet I can see that this is the question about both data organization and storage. Source: over 2 years ago
View more

What are some alternatives?

When comparing NumPy and Backblaze, you can also consider the following products

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

CrashPlan - CrashPlan for Small Business backup software offers the best way to back up and store business & enterprise data securely - offsite, onsite & online in the Cloud.

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

ManageWP - ManageWP is a service for bloggers, site owners and web based companies helping them manage multiple WordPress sites from one dashboard.

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

MiniTool Partition Wizard - As a partition magic alternative, Minitool Partition Wizard is the latest partition manager software which be used to manage partition on Windows 10/8/7/XP and Server 2003/2008/2012.

Loading...