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Oxylabs VS Apache SystemML

Compare Oxylabs VS Apache SystemML and see what are their differences

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Oxylabs logo Oxylabs

A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.

Apache SystemML logo Apache SystemML

Apache SystemML is a machine learning platform optimal for big data.
  • Oxylabs Landing page
    Landing page //
    2023-06-02

Over the years in the market, Oxylabs has become a global leader in the web intelligence acquisition industry and has earned the trust of 3,500+ clients worldwide, including dozens of Fortune Global 500 companies, academia, and researchers.

Oxylabs offers one of the largest proxy pools in the market—102M+ IPs in 195 countries. The high success rates of its Web Scraper API and Web Unblocker enable customers to maintain robust data-gathering infrastructures to power their businesses.

Clients rely on Oxylabs' premium service for market research, ad verification, brand protection, travel fare aggregation, SEO monitoring, pricing intelligence, and more.

  • Apache SystemML Landing page
    Landing page //
    2022-01-09

Oxylabs

Website
oxylabs.io
Pricing URL
Official Oxylabs Pricing
$ Details
paid Free Trial $8 (per GB)
Platforms
Web Windows Mac OSX Android Google Chrome Browser
Release Date
2015 January
Edit details

Apache SystemML

Website
systemds.apache.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Oxylabs features and specs

  • Residential Proxies
  • Mobile Proxies
  • Datacenter Proxies
  • Dedicated Datacenter Proxies
  • ISP Proxies
  • Web Scraper API
  • Web Unblocker
  • Company Datasets
  • E-Commerce Product Datasets
  • Job Postings Datasets
  • Community and Code Datasets
  • Product Review Datasets

Apache SystemML features and specs

  • Scalability
    Apache SystemML is designed to scale seamlessly from a single laptop to large clusters, allowing for efficient processing of large datasets.
  • Flexibility
    SystemML provides a flexible way to express machine learning algorithms using its high-level DML and PyDML languages, allowing for easy customization and optimization.
  • Optimization
    The system automatically optimizes the execution of DML scripts based on the cluster configuration and characteristics of input data, providing efficient and high-performance computation.
  • Integration
    SystemML is well integrated with Apache Spark, enabling distributed machine learning on Spark's cluster computing framework.
  • Open Source
    As an Apache project, SystemML is open-source, ensuring it benefits from community support and continuous improvements.

Possible disadvantages of Apache SystemML

  • Complexity
    For users not familiar with DML or PyDML, there might be an initial learning curve to effectively utilize the system for developing machine learning algorithms.
  • Performance Overhead
    Despite its optimization, there could be performance overheads for certain workloads compared to hand-optimized native Spark, TensorFlow, or other specialized ML libraries.
  • Dependency Management
    Managing dependencies and ensuring compatibility with various versions of Spark and Hadoop ecosystems can be challenging.
  • Community Size
    The user and developer community around Apache SystemML might be smaller compared to other, more widely-adopted machine learning frameworks, potentially impacting the availability of community resources and third-party integrations.

Analysis of Apache SystemML

Overall verdict

  • Apache SystemDS (formerly SystemML) is a solid, research-backed machine learning system optimized for end-to-end data science workflows, particularly strong for organizations already invested in big data infrastructure like Hadoop and Spark, though it has a smaller community and steeper learning curve compared to mainstream ML frameworks like TensorFlow or scikit-learn.

Why this product is good

  • Provides declarative, R-like and Python-like syntax (DML/PyDML) that automatically optimizes execution plans for distributed computing
  • Scales efficiently from single-machine to large Hadoop/Spark clusters without requiring code changes
  • Originated from IBM Research with strong academic backing and peer-reviewed optimization techniques
  • Supports algorithm customization and allows data scientists to write custom ML algorithms with automatic optimization
  • Integrates well with existing big data ecosystems (HDFS, Spark, Hadoop)
  • Open-source under Apache Foundation, ensuring transparency and community-driven development
  • Cost-based optimizer automatically decides between local and distributed execution for performance efficiency

Recommended for

  • Enterprises already using Hadoop or Spark clusters for big data processing
  • Data scientists needing to prototype and deploy custom ML algorithms at scale
  • Organizations requiring seamless integration between data engineering and machine learning pipelines
  • Research teams exploring novel ML algorithm implementations with automatic performance optimization
  • Users who prefer R or Python-like syntax but need distributed computing capabilities
  • Companies with large-scale structured data requiring efficient matrix operations and linear algebra computations

Oxylabs videos

+ Add

Oxylabs Residential Proxy Self-Service Tutorial | Oxylabs

More videos:

  • Tutorial - Python Web Scraping Tutorial: Step-by-Step
  • Demo - Oxylabs Datacenter Proxies
  • Demo - Oxylabs Residential Proxies
  • Review - How to Choose the Best Proxies?

Apache SystemML videos

+ Add

SDS 2016 Apache SystemML-Declarative Large Scale Machine Learning

Category Popularity

0-100% (relative to Oxylabs and Apache SystemML)

Oxylabs

Apache SystemML

Proxy
100 100%
Proxy
0% 0
Python Tools
0 0%
Python Tools
100% 100
Residential Proxies
100 100%
Residential Proxies
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Oxylabs and Apache SystemML. 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 Oxylabs and Apache SystemML

Oxylabs Reviews

Proxy Service Awards 2024
The best part is that Oxylabs doesn’t rest on its laurels. Compared to 2023, you’ll get more features (such as coordinate-level targeting), significantly lower rates, and even better performance. The last part is particularly impressive, considering how high the baseline already was. In fact, a better part of our tested providers are still catching up to the Oxylabs of...
Source: proxyway.com
Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
Oxylabs remains the number aggressive competitor of Bright Data – they have even had a case to settle in the court in the past. If you wouldn’t want to use Bright Data proxies, then you might as well avoid Oxylabsas it is everything you hate in Bright Data and even worse. Aside from the pricing aspect, Oxylabs have been found to engage in some unethical practices and scam...
Source: www.bestproxyreviews.com
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
OxyLabs has the largest proxy network with more than 100 million IP addresses. Due to the large proxy pool, you can unlock every site in the world regardless of where you live.
Source: earthweb.com
10 Best Free Online Proxy Server List of 2022 [VERIFIED]
Oxylabs offers an innovative proxy service for gathering the data at a scale. It offers the solutions of Datacenter proxies, Residential Proxies, Next-Gen Residential Proxies, and Real-time Crawler. Oxylabs’® self-service dashboard will give you detailed statistics of proxy usage. It helps with the creation of sub-users, whitelisting of IPs, etc.
Source: www.softwaretestinghelp.com

Apache SystemML Reviews

We have no reviews of Apache SystemML yet.
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Social recommendations and mentions

Based on our record, Oxylabs seems to be more popular. It has been mentiond 11 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.

Oxylabs mentions (11)

View more

Apache SystemML mentions (0)

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

What are some alternatives?

When comparing Oxylabs and Apache SystemML, you can also consider the following products

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

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

Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.

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

NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.

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

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