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Bright Data VS dhtmlxPivot

Compare Bright Data VS dhtmlxPivot and see what are their differences

Bright Data

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

Rating
4.0 · 1 review
Pricing
Open source
Alternatives Is it good?
dhtmlxPivot

dhtmlxPivot is a JavaScript pivot table component for adding fast and data-intensive pivot grids to cross-browser web applications.

Rating
0 reviews
Alternatives Is it good?
9Proxy
Clean. Fast. Premium Residential Proxies, Starting from $0.015/IP and $0.68/GB. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Bright Data seems to be more popular. It has been mentioned 45 times since March 2021.

social mentions
45 vs 0
Proxy popularity
100% vs 0%
alternatives listed
240+ vs 14

Base details

Website, pricing, platforms and company facts side by side.

Bright Data
dhtmlxPivot
Website brightdata.com dhtmlx.com
Pricing
Open source Official pricing
—
Company 2021 —
Listed in
Proxy Residential Proxies Private Proxy Data Collector Unblocker SERP Analysis +3
Development Tools Javascript UI Libraries JavaScript Framework

Features and specs

What each product offers, as listed by its team.

Bright Data 5 features
dhtmlxPivot 5 features
  • 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

  • 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.
  • User-Friendly Interface
    dhtmlxPivot provides a highly intuitive and easy-to-use interface that allows users to quickly manipulate and analyze their data without needing extensive technical knowledge.
  • Customization
    The library offers a wide range of customization options, enabling developers to tailor the pivot table to meet specific business needs, including custom data sources, appearance settings, and more.
  • Performance
    dhtmlxPivot is designed for high performance, capable of handling large datasets efficiently, which is crucial for enterprise applications that process significant volumes of data.
  • Integration
    It integrates well with other DHTMLX components and third-party systems, making it a flexible choice for projects that require diverse functionalities.
  • Support
    Users have access to comprehensive documentation and customer support, which can be invaluable for troubleshooting and optimizing the use of the library.

Possible disadvantages

  • Cost
    dhtmlxPivot is a paid product, which might be a constraint for small businesses or individual developers with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there can be a learning curve involved in mastering all of its features and capabilities, especially for those new to pivot tables.
  • Dependency
    The library is part of the DHTMLX suite, so users might encounter challenges if they need to integrate it with other frameworks outside of this ecosystem.
  • Limited Free Version
    The free version of dhtmlxPivot might come with limitations on features or capacity, which could require an upgrade to a paid version to unlock full capabilities.

Analysis

An editorial look at what each product does well and who it suits.

Bright Data
dhtmlxPivot

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

Overall verdict

  • dhtmlxPivot is a solid, capable JavaScript pivot table component well-suited for developers who need to embed data summarization and analysis features into web applications, offering good performance and integration flexibility, though it's best evaluated against your specific framework and licensing needs.

Why this product is good

  • Fast rendering and handling of large datasets thanks to efficient client-side processing
  • Supports drag-and-drop configuration for rows, columns, filters, and values, similar to Excel-style pivot tables
  • Integrates well with other dhtmlx components (like dhtmlxGrid, dhtmlxChart) for building comprehensive dashboards
  • Offers export options such as Excel and PDF for reporting purposes
  • Cross-browser compatibility and responsive design support
  • Customizable appearance through skins and CSS to match application branding
  • Works with popular frameworks like Angular, React, and Vue via wrapper libraries
  • Backed by an established company (DHTMLX) with ongoing updates and documentation

Recommended for

  • Web developers building business intelligence or analytics dashboards
  • Enterprises needing embeddable data visualization tools within internal applications
  • SaaS products requiring customizable reporting features
  • Teams already using other dhtmlx UI components seeking a consistent ecosystem
  • Projects needing client-side pivot table functionality without heavy backend processing
  • Developers working in JavaScript-based frameworks like Angular, React, or Vue

Videos

Walkthroughs and reviews on video.

Bright Data 1 video + Add
dhtmlxPivot 0 videos + Add

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

No dhtmlxPivot videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Bright Data
dhtmlxPivot
100% 100%
Proxy
0% 0%
0% 0%
Development Tools
100% 100%
100% 100%
Residential Proxies
0% 0%
0% 0%
Javascript UI Libraries
100% 100%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Bright Data 4.0 · 1 review
dhtmlxPivot no reviews yet
  • Proxy Service Awards 2024
    proxyway.com · May 2024

    And if there’s one thing that defines Bright Data in an industry where all gaps are closing, it’s the platform. We’ve criticized it for complexity and opaqueness; but after all these years, we have to admit that...

  • Mixed feelings
    SaaSHub review
    · Mar 2024

    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.

  • Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
    www.bestproxyreviews.com · Dec 2022

    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...

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We have no reviews of dhtmlxPivot yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Bright Data 45 mentions
dhtmlxPivot 0 mentions
  • 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,... - Source: Hacker News / 2 months 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,... - Source: dev.to / 5 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... - Source: dev.to / 5 months ago

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Tracking dhtmlxPivot since Mar 2021.

Alternatives to Bright Data and dhtmlxPivot

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