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Google Search Appliance vs Oracle Endeca comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Google Search Appliance
Ranking in Indexing and Search
13th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Oracle Endeca
Ranking in Indexing and Search
12th
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Indexing and Search category, the mindshare of Google Search Appliance is 0.7%, down from 3.6% compared to the previous year. The mindshare of Oracle Endeca is 3.3%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

it_user1227 - PeerSpot reviewer
Fast and efficient enterprise search application with query support in 40 different languages
A very good enterprise search application. Search results are produced pretty fast and the contents gets re-index quite often which ensures that the search results are not stale. The Administrative Interface is very easy to use and has a lot of useful information. The number of pages crawled by google search appliance is quite high compared other tools in the same domain. Another good feature of Google search appliance is that, the search index keeps getting updated for every update to any doc and removal of any doc actual clears the corresponding entry in the search index ensuring that non-existent entries don't show up in the results page. Search results can be grouped in various collections e.g. university collections, medical collections etc. Google Search Appliance very smartly handles the synonyms, as can be seen in the "narrow your search" feature. Indexing of content can be easily configured by specifying URLs
it_user6903 - PeerSpot reviewer
It’s got a good range of data visualisation components, but lacks the support for runtime complex query firing and support which OBIEE supports.
Primarily, a BI tool that enables analysis of unstructured and semi-structured data, as well as more traditional structured (measures, dimensions etc) data sets with ability to bring together loosely-related datasets and analyse them using search and lexical analysis tools. The in-memory key-value store database it uses doesn’t have the same costs around data manipulation, table joins and disk access that traditional databases have, and the column-based storage it uses is particularly suited to selecting from sets of dimension members.
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Comparisons

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Also Known As

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Endeca
 

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Overview

 

Sample Customers

British Airways, City of Calgary, Discovery Channel, Emerson Process Management, FINRA, GoDaddy.com, Hayneedle, Hays, Honeywell Aerospace, Honeywell Transportation, Posco, Soci_t_ G_n_rale Group
Virgin Media, Agilent, NHS Business Services Authority, IBFD, Valdosta State University, Ministry of Labor and Social Policy, Delphi Automotive, Riverbed
Find out what your peers are saying about Elastic, Luigi's Box, IBM and others in Indexing and Search. Updated: October 2024.
816,406 professionals have used our research since 2012.