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alooma VS Scikit-learn

Compare alooma VS Scikit-learn 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.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • alooma Landing page
    Landing page //
    2023-04-29
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

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

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 alooma and Scikit-learn)

alooma

Scikit-learn

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

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Reviews

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

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

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 seems to be more popular. It has been mentiond 28 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.

Scikit-learn mentions (28)

  • 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 / 3 months 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 / 12 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
View more

What are some alternatives?

When comparing alooma and Scikit-learn, 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.

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

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