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Bright Data VS Google Cloud Dataproc

Compare Bright Data VS Google Cloud Dataproc and see what are their differences

711Proxy
Starting at Just $0.55/GB๏ผ$0.03/IP๏ผFree Trial Available! 711Proxy provides rotating and static residential IPs across 200+ locations worldwide, delivering stable performance, high anonymity, and reliable proxy solutions for businesses. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Bright Data logo Bright Data

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

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Bright Data Landing page
    Landing page //
    2021-05-12
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Bright Data features and specs

  • Extensive Proxy Network
    Bright Data offers a vast and diverse network of over 72 million IPs, ensuring high availability and reliability for users.
  • Wide Range of Services
    Provides various proxy solutions including data center, residential, mobile, and ISP proxies, catering to different user needs.
  • Geographical Targeting
    Allows users to target proxies based on specific countries, cities, and even ASN, which is beneficial for localized data scraping.
  • Advanced Tools and APIs
    Offers sophisticated tools and APIs for automation, data extraction, and optimized proxy management.
  • Customer Support
    Provides round-the-clock customer support and numerous resources such as detailed documentation and integration guides.

Possible disadvantages of Bright Data

  • Cost
    Bright Data's services are priced at a premium, which might be expensive for small businesses or individual users.
  • Complexity
    The extensive range of options and settings can be overwhelming and may require a steep learning curve for new users.
  • Ethical Concerns
    The use of residential and mobile proxies can raise ethical questions regarding user consent and data privacy.
  • Account Approval
    New accounts are subject to approval which can delay immediate access to the service.
  • Occasional IP Blocks
    Despite the large IP pool, users may still experience occasional blocks and captchas when accessing certain websites.

Google Cloud Dataproc features and specs

  • Managed Service
    Google Cloud Dataproc is a fully managed service, which reduces the complexity of deploying, managing, and scaling big data clusters like Hadoop and Spark.
  • Integration with Google Cloud
    Seamlessly integrates with other Google Cloud services like Google Cloud Storage, BigQuery, and Google Cloud Pub/Sub, allowing for easy data handling and processing.
  • Scalability
    Can quickly scale resources up or down to meet the computing demands, making it flexible for different workload sizes and types.
  • Cost Efficiency
    Offers a pay-as-you-go pricing model, and can utilize preemptible VMs for reduced costs, making it a cost-effective option for running big data workloads.
  • Customizability
    Supports custom image management and initialization actions, allowing users to tailor clusters to meet specific needs.

Possible disadvantages of Google Cloud Dataproc

  • Complex Pricing
    Understanding and predicting costs can be challenging due to various pricing factors like cluster size, usage duration, and types of instances used.
  • Learning Curve
    Dataproc requires familiarity with Google Cloud and big data tools, which may present a steep learning curve for beginners.
  • Limited Customization Compared to Self-Managed
    While customizable, it may not offer as much flexibility and control as self-managed on-premises solutions, which can be limiting for highly specialized configurations.
  • Dependency on Google Cloud Ecosystem
    As a Google Cloud service, users are somewhat locked into the Google ecosystem, which may not be ideal for those using a multi-cloud strategy.
  • Potential Latency for Large Data Transfers
    Transferring large datasets between Dataproc and other services, especially across regions, might introduce latency issues.

Analysis of Bright Data

Overall verdict

  • Bright Data is generally considered a good choice for businesses and professionals who require reliable and scalable proxy services. It excels in offering a comprehensive set of features and a vast IP pool, although it might be considered expensive for individual or small-scale users.

Why this product is good

  • Bright Data, formerly known as Luminati Networks, is a well-regarded proxy service provider known for its vast network of IP addresses and wide range of proxy types. It offers residential, data center, and mobile proxies with a focus on reliability and scalability. The service is often praised for its high uptime, excellent customer support, and robust infrastructure, making it a popular choice for businesses needing large-scale data collection and web scraping solutions.

Recommended for

  • Large enterprises needing mass data collection
  • Businesses engaged in web scraping and analysis
  • Companies requiring high uptime and reliability
  • Professionals interested in diverse proxy options, including residential and mobile

Bright Data videos

+ Add

Rotating Residential Network | Proxy Network Types | Bright Data (Formerly Luminati Networks)

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

0-100% (relative to Bright Data and Google Cloud Dataproc)

Bright Data

Google Cloud Dataproc

Proxy
100 100%
Proxy
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Residential Proxies
100 100%
Residential Proxies
0% 0
Big Data
0 0%
Big Data
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 Bright Data and Google Cloud Dataproc

Bright Data Reviews

  1. Sam Mitchell
    ยท Owner at KittenProperties ยท
    Mixed feelings

    We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.

    ๐Ÿ Competitors: Decodo, NetNut.io
    ๐Ÿ‘ Pros:    Cheap dc proxies
    ๐Ÿ‘Ž Cons:    Quite expensive|Residential proxies are worse than competitiors
Proxy Service Awards 2024
And if thereโ€™s one thing that defines Bright Data in an industry where all gaps are closing, itโ€™s the platform. Weโ€™ve criticized it for complexity and opaqueness; but after all these years, we have to admit that Bright Dataโ€™s tooling remains a north star for many providers aspiring to serve the most demanding clients.
Source: proxyway.com
Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
Oxylabs remains the number aggressive competitor of Bright Data โ€“ they have even had a case to settle in the court in the past. If you wouldnโ€™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
911.re Alternatives: 10 Best Proxies Smilar to 911 Proxy in 2023
The most exciting thing about Bright Data is that it comes with new daily feature releases so that you always have access to the latest features as soon as they are released. You also have access to 24/7 global support and dedicated account managers who will help you get started with Bright Data immediately!
Source: www.techuseful.com
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
Formerly known as Luminati Networks, Bright Data is the most popular premium residential proxy provider in the industry.
Source: earthweb.com
10 Best Free Online Proxy Server List of 2022 [VERIFIED]
Verdict: Bright Data Proxy Manager will help you with various use cases such as web data extraction, e-commerce, collecting stock market data, brand protection, etc. Bright Data has capabilities of data collection from eCommerce, Social Media, etc. It provides 24ร—7 global support and dedicated account managers.
Source: www.softwaretestinghelp.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Bright Data seems to be a lot more popular than Google Cloud Dataproc. While we know about 45 links to Bright Data, we've tracked only 3 mentions of Google Cloud Dataproc. 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.

Bright Data mentions (45)

  • Precursor
    Happy to offer a counter of some great products for anti-bot defeat: https://brightdata.com/ https://www.zenrows.com/ https://www.capsolver.com/ https://scrapfly.io/ hundreds of millions of residential ips, human browser fingerprints, custom browser binaries, auto solve of turnstyle, recaptcha v3, kasada, datadome, AWS WAF, etc if they come up. - Source: Hacker News / 27 days ago
  • Best Web Scraping Tools in 2026: A Hands-On Comparison of the Top 10
    The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network, pay-per-success pricing and unlimited concurrency are still uncontested at the high end. - Source: dev.to / 3 months ago
  • The Economics of Web Scraping: How Consultancies Price Data Extraction and Manage Scope Creep
    Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute resources. Services like Bright Data charge significantly by the gigabyte for premium residential IPs. These variable infrastructure costs must be passed directly to the client,... - Source: dev.to / 4 months ago
  • LinkedIn Scraping Is Dead: 5 Legal, ToS-Safe Alternatives That Actually Work in 2026
    Bright Data has successfully defended web scraping in U.S. Courts and offers LinkedIn datasets pre-collected and ready to download. LinkedIn profile data on their dataset marketplace runs around $250 per 100,000 records. The freshness caveat is real: bulk datasets are snapshots, not real-time. If you need current job titles on a rolling basis, you're better with an enrichment API than a one-time dataset pull.... - Source: dev.to / 4 months ago
  • Building a Live AI Market Research Terminal: How Bright Data and Convex Replace Polling With Real-Time Everything
    Bright Data built an open-source demo that solves this. It's called the Signal Terminal, a financial research tool built around that problem. - Source: dev.to / 5 months ago
View more

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: over 3 years ago
  • Why we donโ€™t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 4 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 4 years ago

What are some alternatives?

When comparing Bright Data and Google Cloud Dataproc, 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.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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