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9Proxy VS Apache SAMOA

Compare 9Proxy VS Apache SAMOA and see what are their differences

MangoProxy
Global Proxy Network: 90M+ Residential & Static IPs for Any Task featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

9Proxy logo 9Proxy

Clean. Fast. Premium Residential Proxies, Starting from $0.015/IP and $0.68/GB.
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Apache SAMOA logo Apache SAMOA

Apache SAMOA is a distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms.
  • 9Proxy Home
    Home //
    2026-02-03
  • 9Proxy Pricing
    Pricing //
    2026-02-03

9Proxy provides reliable residential proxies with clean, fast connections, starting from just $0.015/IP and $0.68/GB. We offer exclusive advantages for affiliates, resellers, and partners, helping enhance online activities and build long-term mutual benefits.

  • Apache SAMOA Landing page
    Landing page //
    2021-10-09

9Proxy

Website
9proxy.com
Pricing URL
Official 9Proxy Pricing
$ Details
paid Free Trial $0.02 / One-off ($0.015/IP & $0.68/GB)
Platforms
Twitter Telegram Facebook Facebook Messenger TikTok LinkedIn YouTube Windows Linux Instagram
Release Date
2023 November
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Apache SAMOA

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

9Proxy features and specs

  • 20M+ clean residential proxies
  • 99.95% uptime
  • HTTP(s)/Socks5
  • Starting from $0.015/IP & $0.68/GB
  • IPv4
  • Pay as you go
  • Supports country, city, ZIP code and ISP targeting
  • High anonymity
  • 24/7 human support

Apache SAMOA features and specs

  • Distributed Stream Processing
    Apache SAMOA provides a platform for mining big data streams in a distributed fashion, enabling scalable processing of large volumes of real-time data across clusters of machines.
  • Platform Agnostic
    SAMOA abstracts away the underlying stream processing engine, allowing users to write algorithms once and execute them on multiple distributed stream processing platforms such as Apache Storm, Apache S4, and Apache Samza without code changes.
  • Built-in Machine Learning Algorithms
    The framework comes with pre-built distributed streaming machine learning algorithms including classification, clustering, and regression, reducing the effort needed to implement common data mining tasks on streaming data.
  • Extensible API
    SAMOA provides a simple and extensible programming API that allows developers to write custom distributed streaming algorithms without needing deep expertise in the underlying distributed processing infrastructure.
  • Integration with MOA
    SAMOA builds upon concepts from MOA (Massive Online Analysis), a well-established framework for data stream mining, inheriting proven algorithmic approaches and evaluation methodologies for streaming data analysis.

Possible disadvantages of Apache SAMOA

  • Project Inactivity
    Apache SAMOA has been largely inactive as an Apache Incubator project for several years, with minimal community activity, updates, and commits, raising concerns about its long-term viability and support.
  • Limited Community and Ecosystem
    Compared to more popular frameworks like Apache Flink ML or Spark MLlib, SAMOA has a much smaller community, fewer contributors, and limited third-party resources, tutorials, and support channels.
  • Narrow Algorithm Selection
    While SAMOA includes some built-in algorithms, the selection is relatively limited compared to mature machine learning libraries, and users may need to implement many algorithms from scratch for more advanced use cases.
  • Outdated Documentation
    The documentation and examples available for SAMOA are sparse and often outdated, making it difficult for new users to get started and troubleshoot issues effectively.
  • Limited Integration with Modern Platforms
    SAMOA's supported execution engines (Storm, S4, Samza) do not include some of the most widely adopted modern stream processing frameworks like Apache Flink or Kafka Streams, limiting its relevance in contemporary data architectures.

Analysis of Apache SAMOA

Overall verdict

  • Apache SAMOA is a solid choice for building distributed streaming machine learning algorithms, particularly valued for its platform-agnostic design, though it has become less active as a standalone project over time.

Why this product is good

  • Provides an abstraction layer that allows algorithms to run on multiple distributed stream processing engines like Apache Storm, Apache Flink, and Apache Samza
  • Offers a collection of distributed streaming ML algorithms out of the box, including classification and clustering algorithms adapted for streaming contexts
  • Open-source and backed by Apache Software Foundation incubation, providing a degree of governance and community structure
  • Designed specifically for online/incremental learning on unbounded data streams, filling a niche not well covered by batch-oriented ML frameworks
  • Modular architecture makes it possible to extend with custom algorithms and pluggable processing engines
  • Good academic and research pedigree with ties to MOA (Massive Online Analysis) framework

Recommended for

  • Researchers and academics studying distributed stream mining algorithms
  • Engineers who need to prototype streaming ML algorithms across multiple distributed processing frameworks without rewriting logic
  • Organizations already invested in Storm, Flink, or Samza looking to add streaming ML capabilities
  • Educational use cases for understanding distributed online learning concepts
  • Teams needing algorithm portability across different stream processing backends rather than a production-hardened, actively maintained enterprise solution

9Proxy videos

+ Add

Introducing 9Proxy | Premium Residential Proxies - 2024 Commercial

More videos:

  • Tutorial - 9Proxy | How To Set Up 9Proxy
  • Review - Datacenter vs. Residential Proxies: Which One to Choose? | 9Proxy | Premium Residential Proxies

Apache SAMOA videos

+ Add

Extending Apache Flink stream processing with Apache Samoa ML methods - Piotr Wawrzyniak

Category Popularity

0-100% (relative to 9Proxy and Apache SAMOA)

9Proxy

Apache SAMOA

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

Questions & Answers

As answered by people managing 9Proxy and Apache SAMOA.

Why should a person choose your product over its competitors?

9Proxy's answer

Individuals should choose 9Proxy for its extensive pool of over 20 million clean residential proxies, offering high anonymity and secure connections. With competitive pricing starting from just $0.015 per IP and $0.68 per GB, 9Proxy provides a cost-effective solution for various online use cases, ensuring a smooth and dependable user experience.

How would you describe the primary audience of your product?

9Proxy's answer

9Proxy's primary audience includes SEO professionals, market researchers, and data analysts who require reliable and anonymous internet access for data scraping, SERP analysis, and market research. It also caters to businesses involved in ad tech, multi-accounting, and price aggregation, providing them with the necessary tools to perform their tasks efficiently and securely.

What's the story behind your product?

9Proxy's answer

We are a group of professionals identifying a gap in the market for reliable, affordable, and anonymous proxy services. We then leverage our expertise in network technology and security to create a solution that addresses these needs, leading to the establishment of 9Proxy. The company has grown by focusing on customer needs, technological advancements, and quality service.

Who are some of the biggest customers of your product?

9Proxy's answer

Our biggest customers generally include: Digital marketing agencies SEO and SEM professionals Big data analytics firms E-commerce companies Cybersecurity companies Academic and research institutions

What makes your product unique?

9Proxy's answer

9Proxy stands out with over 20 million clean residential proxies, ensuring high anonymity and security for users. With competitive pricing starting from just $0.015/IP and $0.68/GB, 9Proxy delivers reliable and cost-effective proxy solutions, making it an attractive choice compared to many competitors on the market.

Which are the primary technologies used for building your product?

9Proxy's answer

9Proxy is built on a scalable cloud-native infrastructure using high-performance proxy routing technology, distributed IP management systems, and secure authentication layers. Our platform leverages modern backend frameworks and real-time traffic optimization to ensure stability, anonymity, and 99.95% uptime.

User comments

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What are some alternatives?

When comparing 9Proxy and Apache SAMOA, you can also consider the following products

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

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

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

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

IPRoyal - At IPRoyal, we offer premium proxy servers, including residential, datacenter, ISP, and mobile proxies.

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

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