What users are saying about
9 Ratings
14 Ratings
9 Ratings
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Score 8.7 out of 101
14 Ratings
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Score 8.4 out of 101

Likelihood to Recommend

Apache Lucene

Apache Lucene offers great full-text search library that makes it easy to add search functionality to a website or other applications. Lucene is ideal if you want low-level access to the indexes and its APIs. For general purposes, Apache Solr, the web application built atop of Lucene can be used instead. Apache Solr comes with caching, HTTP/ JSON APIs and a simple web administration console.
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Azure Search

Incredibly robust software for an enterprise organization to plug into their application. If you have a full development resource team at your disposal, this is great software and I highly recommend it. Largely, however, you won't be able to use this prior to the enterprise level. It's just too complicated and cumbersome of a product.
Blake Baron profile photo

Pros

Apache Lucene

  • Quick search of very large amounts of data on a single machine instance.
  • Extremely memory and disk efficient/performance.
  • Easy to setup and integrate into external systems.
Craig J. Stadler profile photo

Azure Search

  • Azure Search provides a fully-managed service for loading, indexing, and querying content.
  • Azure Search has an easy C# SDK that allows you to implement loading and retrieving data from the service very easy. Any developer with some Microsoft experience should feel immediate familiarity.
  • Azure Search has a robust set of abilities around slicing and presenting the data during a search, such as narrowing by geospatial data and providing an auto-complete capabilities via "Suggesters".
  • Azure Search has one-of-a-kind "Cognitive Search" capabilities that enable running AI algorithms over data to enrich it before it is stored into the service. For example, one could automatically do a sentiment analysis when ingesting the data and store that as one of the searchable fields on the content.
Erik Ralston profile photo

Cons

Apache Lucene

  • We had difficulty porting the project to a cluster based environment on the cloud.
  • For our particular use case of retrieving documents based on text pattern matching, the program worked efficiently however, we did not find many resources for image pattern recognition based on their metadata.
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Azure Search

  • It's an enterprise level product so you need to have the budget for it.
  • Challenging-to-impossible for a non-technical administrator to implement.
  • It further locks you into Microsoft's ecosystem and doesn't play well with non-Microsoft software. Depending on your point of view, this can be a pro or a con.
Blake Baron profile photo

Alternatives Considered

Apache Lucene

I have tried Elastic and Sphinx, each has their benefits but I feel like Apache Lucene overall is the best performing and easiest to setup and maintain.
Craig J. Stadler profile photo

Azure Search

As I've mentioned, the biggest competitor to Azure Search is actually Azure SQL Database. It doesn't have as many features, but it's more economical and most .Net applications will have one already. As long as you can arrive at a schema and ranking strategy, it's a "good enough" solution.There are a variety of search technologies (Lucene, Solr, Elasticsearch) that implement a search service. Some of them are even open source, though I would only say "free" if you do not value your time. They most likely need to be hosted via Container (or VM if you're old school), so you're incurring DevOps costs to not only set them up but monitor and maintain them yourself.
If you're already on AWS, there is almost no reason to use Azure Search. Unless you're already multi-cloud, desperately need the cognitive abilities, and don't mind a potential performance hit from looking across datacenters (hey, it could happen), you should probably just use Amazon CloudSearch.
Erik Ralston profile photo

Return on Investment

Apache Lucene

  • Being an open source project we did not have to pay any licensing fees for using Apache Lucene. It has greatly improved our search functionality in our web apps.
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Azure Search

  • Our internal market research illustrates that users are finding their desired information faster on account of autosuggest.
  • Time spent on checkout page (for conversions) is significantly decreased.
  • Clicks required on checkout page (for conversions) is significantly decreased.
Blake Baron profile photo

Pricing Details

Apache Lucene

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Azure Search

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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