What users are saying about
9 Ratings
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106 Ratings
9 Ratings
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Score 8.5 out of 101

Elasticsearch

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106 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
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

As the name implies, when you need to search thousands, millions, or billions text-based documents for keywords, Elasticsearch is great. The way it indexes and internally analyzes the content of your documents is very powerful. Assuming you have enough servers in your cluster with fast enough storage, querying those documents becomes a breeze.
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Pros

Apache Lucene

  • 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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Elasticsearch

  • Anomaly detection. It can find patterns over a wide variety of metrics and values.
  • Behind the walls, Elasticsearch has a robust distributed architecture to support queries and data processing, and it is easy to maintain and scale.
  • Elasticsearch has a new Elastic Cloud SaaS solution which is very easy to deploy, set up, and scale with all features and more.
  • Elasticsearch has an important security layer to separate access to data and dashboards.
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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

  • The price point for the X-Pack plugins (ie. Security, Alerting, etc.) is a bit high, especially if you only want to do something small and simple and you don't need to leverage the full power of the plugin
  • Configuring the right hardware and capacity planning (when at scale) can get really tricky. In order to get the best performance, a lot of tweaking is needed, and not all of the secret tricks are documented
  • Getting used to ElasticSearch's query language was a bit of an adjustment. You really have to delve into defining analyzers and tokenizers in order to get application-specific results
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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.
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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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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

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Elasticsearch

All database systems have things they are good at, and things they aren't as good at. Riak/SOLR is great as a K/V store, but SOLR cannot handle requests as fast as ElasticSearch. In fact, SOLR is the reason we had to migrate to ElasticSearch.Redis is great at SET operations on large sets of data and quick in-memory operations. We actually use Redis for a small subset of tasks in our product that wasn't appropriate to perform on ElasticSearch. In this case, it was much faster and cheaper to use Redis.
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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
Additional Pricing Details

Elasticsearch

General

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

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