Software Alternatives & Reviews

PIPL Professional People Search Engine VS Prerender

Compare PIPL Professional People Search Engine VS Prerender and see what are their differences

PIPL Professional People Search Engine logo PIPL Professional People Search Engine

PIPL professional search is used to find the person behind an email,phone or social profile and covers over 3 Billion people worldwide.

Prerender logo Prerender

Allow your AngularJS, BackboneJS, or EmberJS apps to be crawled perfectly by search engines. View on Github.
  • PIPL Professional People Search Engine Landing page
    Landing page //
    2022-01-02
  • Prerender Landing page
    Landing page //
    2023-10-08

Category Popularity

0-100% (relative to PIPL Professional People Search Engine and Prerender)
Custom Search Engine
37 37%
63% 63
Search Engine
38 38%
62% 62
Custom Search
47 47%
53% 53
Full-text Search
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Prerender seems to be more popular. It has been mentiond 40 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.

PIPL Professional People Search Engine mentions (0)

We have not tracked any mentions of PIPL Professional People Search Engine yet. Tracking of PIPL Professional People Search Engine recommendations started around Mar 2021.

Prerender mentions (40)

  • Help needed with Vue website and Google indexing
    What framework or service are you using to pre-render your content? Check out https://nuxt.com and https://prerender.io if you're not using something like this already. Source: 12 months ago
  • What are the challenges of creating a search engine friendly website in React?
    The best option is going to be using SSR using Next.js/Vite SSR/similar as others have mentioned. If you do want to stick to an SPA though (vanilla React + Vite/CRA), make sure your meta tags are set dynamically, and you can definitely pre-render (using prerender.io for example) as well. Source: about 1 year ago
  • What are the challenges of creating a search engine friendly website in React?
    If you don't go with Next, you'll want to make sure that you're properly setting all your page titles, meta descriptions, and tags with something like react-helmet (or whatever the newer fork of it is called) and prerendering with prerender.io or something. Source: about 1 year ago
  • Is there a workaround for a client side react app and search engine indexing?
    Thank you for the comment. I'll investigate prerender.io. I think we'll most likely change the architecture, but if we continued the developers recommended next.js. Source: about 1 year ago
  • Is there a workaround for a client side react app and search engine indexing?
    Depending on how many pages you have, that can get expensive. You can get around the cost by implementing prerender.io as a stopgap (to start getting your pages indexed again -- this can take precious time) and then work your way towards a node instance that handles the static rendering for you. There are lots of tutorials on this, but they depend on which instance of React you're working in. Source: about 1 year ago
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What are some alternatives?

When comparing PIPL Professional People Search Engine and Prerender, you can also consider the following products

Apache Lucene - High-performance, full-featured text search engine library written entirely in Java.

List.js - Tiny, invisible and simple, yet powerful and incredibly fast vanilla JavaScript that adds search...

DataTables - DataTables is a plug-in for the jQuery Javascript library.

Sphinx Search - Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.

OpenSearch - OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, and a visualization and user interface, OpenSearch Dashboards.

FooTable - A responsive table plugin built on jQuery and made for Bootstrap.