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alooma VS NumPy

Compare alooma VS NumPy and see what are their differences

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

alooma logo alooma

alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • alooma Landing page
    Landing page //
    2023-04-29
  • NumPy Landing page
    Landing page //
    2023-05-13

alooma videos

+ Add

Snowflake and Alooma — 3 minute demo

More videos:

  • Review - How the Alooma Data Pipeline works with the Snowflake Data Warehouse
  • Review - What Modern ETL looks like - Alooma

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 alooma and NumPy)

alooma

NumPy

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Tool
100 100%
Tool
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using alooma and NumPy. For example, how are they different and which one is better?
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Reviews

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

alooma Reviews

Top 14 ETL Tools for 2023
Nevertheless, Alooma has received generally positive reviews from users, with 4.1 out of 5 stars on G2. One user writes: “I love the flexibility that Alooma provides through its code engine feature… [However,] some of the inputs that are key to our internal tool stack are not very mature.”
Source: www.integrate.io
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Alooma is designed for enterprise-scale operations, so if you’re a small startup with a small operating budget, Alooma probably isn’t for you. Also note that as of 2019, “Alooma is only accepting new customers that are migrating to Google Cloud Platform.”
Source: blog.panoply.io
Top 7 ETL Tools for 2021
Nevertheless, Alooma has received generally positive reviews from users, with 4.0 out of 5 stars on G2. One user writes: “I love the flexibility that Alooma provides through its code engine feature… [However,] some of the inputs that are key to our internal tool stack are not very mature.”
Source: www.xplenty.com
The 28 Best Data Integration Tools and Software for 2020
Description: Alooma offers a data pipeline service that integrates with popular data sources. The Alooma platform features end-to-end security, which ensures that every event is securely transferred to a data warehouse (SOC2, HIPAA, and EU-US Privacy Shield certified). The solution responds to data changes in real-time to make sure no events are lost. Users can choose to...
Source: solutionsreview.com
The Top 14 Marketing Analytics Tools For Every Business
Alooma allows data teams to have control and visibility. The platform brings data in real-time from various sources together into a data warehouse, such as Redshift, Snowflake, and BigQuery. Users can avoid data loss or duplicates, as well as control the entire ETL process. The tool features real-time visualizations, code engine, data mapper, querying of data.
Source: improvado.io

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 more popular. It has been mentiond 107 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.

alooma mentions (0)

We have not tracked any mentions of alooma yet. Tracking of alooma recommendations started around Mar 2021.

NumPy mentions (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
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What are some alternatives?

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

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

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

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

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

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

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

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