What users are saying about

Apache Solr

25 Ratings

Elasticsearch

87 Ratings

Apache Solr

25 Ratings
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Score 8 out of 101

Elasticsearch

87 Ratings
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Score 8.9 out of 101

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Likelihood to Recommend

Apache Solr

  • Type ahead search - The application needs to build a short list of match words based on users' input as they typing into a search field. The search field is unified search field, that means multiple data types to be searched. For example, the field can be built for search of a "clothing type" like "Jeans" and you get options like "Jeans Slim" etc.
  • Managing the Solr instances was proving to be a pain.
Bharadwaj (Brad) Chivukula profile photo

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

  • Speed -- This is a very fast platform.
  • Scalability -- We can rapidly grow our environments to meet expanding business needs.
  • Flexibility -- We can make Solr bend to our business needs and not the other way around.
Peter Feddo profile photo
  • Lightning fast
  • Easily scalable
  • Powerful feature set
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Cons

  • Indexing of data can sometimes be a slog, meaning it can sometimes take a while to get a large collection up and running if you have many fields that need to be indexed.
  • ElasticSearch offers better support and flexibility.
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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

No score
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

Apache Solr in general stacks up very well to its competitors, it provides much of the same features and performance and has the benefits of being an open-source project with an active contributor base that works consistently and improves the platform. Depending on your setup it can also be a cost saver compared to many other competitors.
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ElasticSearch was easier to scale and faster than Mongo.
Aaron Gussman profile photo

Return on Investment

  • It has improved the customer experience of our web portal customers and has given them more options and control for finding the data they need.
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  • Full-text searches on certain tables have dropped by up to 98%. Searches that used to take upwards of 45 seconds to complete now take a fraction of a second. From a users perspective.
  • Taking the computational load off our servers has allowed us to decrease the number of Oracle cores we have saving us a lot of money in license fees.
Brett Knighton profile photo

Pricing Details

Apache Solr

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