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9 Ratings
112 Ratings
9 Ratings
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Score 8.7 out of 101
112 Ratings
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Score 8.7 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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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

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

Elasticsearch

  • Super-fast search on millions of documents. We've got over 2 billion documents in our index and the retrieve speeds are still in the < 1-second range.
  • Analytics on top of your search. If you organize your data appropriately, Elasticsearch can serve as a distributed OLAP system
  • Elasticsearch is great for geographic data as well, including searching and filtering with geojson, and a variety of geospatial algorithms.
Anatoly Geyfman 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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Elasticsearch

  • 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

Apache Lucene

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 10.0
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

Apache Lucene

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 10.0
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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Support

Apache Lucene

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 7.5
Based on 2 answers
I've never used official support from the company behind Elasticsearch, but I had to get support from community, and being a so known product, it is really easy find someone else facing the same issues you have, and most of time, presenting a good solution for that.
Erlon Sousa Pinheiro profile photo

Implementation

Apache Lucene

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 9.0
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

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

Elasticsearch

With Elasticsearch you can integrate a lot of data sources. It can act as a small DataLake where you can put different kinds of data and extract important insights. With Splunk, additional to elevated costs of licensing and hardware, you need to have expert engineers to address business and platform requirements. If you have Elasticsearch, it can be easily deployed and scaled.
Jose Adan Ortiz 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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Elasticsearch

  • ElasticSearch was able to meet the high demands of our product when it mattered most.
  • Implementation of ElasticSearch was easy and quick, saving on the cost of implementation.
  • Managing ElasticSearch is very easy. With the right monitoring tools in place, it really is "set it and forget it".
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Pricing Details

Apache Lucene

General

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

Elasticsearch

General

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

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