What users are saying about

Apache Lucene

8 Ratings

Elasticsearch

87 Ratings

Apache Lucene

8 Ratings
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Score 8.3 out of 101

Elasticsearch

87 Ratings
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Score 8.9 out of 101

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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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Elasticsearch

Elasticsearch is the gold standard for text-based search. Across large data sets it performs admirably, and we will certainly make it our first choice search solution in the future. For a use case where needs are simple and regular database queries might suffice, Elasticsearch may or may not provide any benefits.
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Pros

  • We found Apache Lucene to be extremely performant in querying large amounts of data and retrieving the correct files based on the metadata provided.
  • The online community offers great support for the product. Even though it is an open source tool, it is not difficult to find help online for it.
  • When we were creating a proof of concept application, we found that the software worked just as well, while being run locally on a resource-limited PC.
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  • Lightning fast
  • Easily scalable
  • Powerful feature set
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Cons

  • 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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  • Setting Java memory thresholds can be a pain for those not accustomed to things like Eden Space & Old Generation which can lead to over allocation, or more likely, under allocation. Apache Solr had a similar issue. It would be nice if the program would take an extra step and dogfood it's own advice by analyzing the system & processes to return a solid recommendation for that configuration. The proper configuration information is outlined in the documentation, it would be nice if that was automated.
  • The only health check that ElasticSearch reports back is a "red" status without any real solid information about what is going on, though its usually memory thresholds or disk I/O. I am currently on ElasticSearch 1.5 so that may have changed for newer versions. When the status goes "red", I as the administrator of the software, feel like I lose control of whats going on which should rarely happen. Something more verbose would eliminate that.
  • This is more of a critique of the ElasticStack in general. The whole top to bottom stack is starting to get feature creep with things that are better suited in other software and increasing the barrier for entry for people to get started with setting up a robust logging infrastructure. ElasticSearch as a storage search engine, is pretty streamlined, but I can see that the tools that comprise the ELK Stack are going to require a certification with constant study at some point. During major release for Logstash a while back, it literally took a month to learn a new language because Elastic completely changed the syntax. For a medium sized organization of only a couple of admins, that is a pretty high bar where time is money. They really should work on refining/automating the tools & search engine they have, instead of shoehorning/changing things on to an already rock solid foundation.
Colby Shores profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Elasticsearch10.0
Based on 1 answer
We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
Aaron Gussman profile photo

Usability

No score
No answers yet
No answers on this topic
Elasticsearch10.0
Based on 1 answer
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching.If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
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Implementation

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No answers yet
No answers on this topic
Elasticsearch9.0
Based on 1 answer
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
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Alternatives Considered

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For our application, ElasticSearch fulfilled all the criteria we were looking for. Something that's easy to scale and flexible. I think ElasticSearch works better that Solr with modern real-time search applications. Also, ElasticSearch is easy to integrate with. ElasticSearch is distributed with real-time replications.
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Return on Investment

  • 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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  • Sped up fault detection, diagnosis and recovery.
  • Facilitated getting insights on customer base.
  • Helped implement data-driven approach across the whole business.
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Pricing Details

Apache Lucene

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

Elasticsearch

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