Software Alternatives & Reviews

PIPL Professional People Search Engine VS Texis

Compare PIPL Professional People Search Engine VS Texis 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.

Texis logo Texis

Relational Databases
  • PIPL Professional People Search Engine Landing page
    Landing page //
    2022-01-02
  • Texis Landing page
    Landing page //
    2019-10-18

Category Popularity

0-100% (relative to PIPL Professional People Search Engine and Texis)
Custom Search Engine
66 66%
34% 34
Search Engine
61 61%
39% 39
Databases
0 0%
100% 100
Custom Search
72 72%
28% 28

User comments

Share your experience with using PIPL Professional People Search Engine and Texis. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing PIPL Professional People Search Engine and Texis, 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...

Prerender - Allow your AngularJS, BackboneJS, or EmberJS apps to be crawled perfectly by search engines. View on Github.

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.

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.

AppWise - AppWise is an intelligent workspace that unifies enterprise apps into a single, searchable view.