Compare ELK Elasticsearch vs. Solr

ELK Elasticsearch is ranked 1st in Search as a Service with 10 reviews while Solr is ranked 3rd in Search as a Service with 2 reviews. ELK Elasticsearch is rated 8.2, while Solr is rated 8.0. The top reviewer of ELK Elasticsearch writes "Provides enterprise landscape support for different areas of the company". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". ELK Elasticsearch is most compared with Azure Search, Solr and Amazon AWS CloudSearch, whereas Solr is most compared with Azure Search, ELK Elasticsearch and Amazon AWS CloudSearch. See our ELK Elasticsearch vs. Solr report.
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ELK Elasticsearch Logo
3,292 views|2,094 comparisons
Solr Logo
Read 2 Solr reviews.
1,382 views|1,119 comparisons
Most Helpful Review
Find out what your peers are saying about ELK Elasticsearch vs. Solr and other solutions. Updated: November 2019.
379,605 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The most valuable features are the data store and the X-pack extension.The special text processing features in this solution are very important for me.The most valuable feature for us is the analytics that we can configure and view using Kibana.We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies.The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints.Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana.It helps us to analyse the logs based on the location, user, and other log parameters.

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The most valuable feature is the ability to perform a natural language search.It has improved our search ranking, relevancy, search performance, and user retention.​Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features.

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Cons
The pricing of this product needs to be more clear because I cannot understand it when I review the website.Better dashboards or a better configuration system would be very good.This product could be improved with additional security, and the addition of support for machine learning devices.We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff.Elasticsearch could improve by honoring Unix environmental variables and not relying only on those provided by Java (e.g. installing plugins over the Unix http proxy).Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version).Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales.It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx​).

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The performance for this solution, in terms of queries, could be improved.SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement.With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated.Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance. Some components are slow for searching.

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Pricing and Cost Advice
This is a free, open source software (FOSS) tool, which means no cost on the front-end. There are no free lunches in this world though. Technical skill to implement and support are costly on the back-end with ELK, whether you train/hire internally or go for premium services from Elastic.​The pricing and license model are clear: node-based model.ELK has been considered as an alternative to Splunk to reduce licensing costs.An X-Pack license is more affordable than Splunk.

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The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise.

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Ranking
1st
out of 10 in Search as a Service
Views
3,292
Comparisons
2,094
Reviews
10
Average Words per Review
323
Avg. Rating
8.1
3rd
out of 10 in Search as a Service
Views
1,382
Comparisons
1,119
Reviews
2
Average Words per Review
393
Avg. Rating
8.0
Top Comparisons
Compared 69% of the time.
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Compared 24% of the time.
Compared 16% of the time.
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Overview
Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management. Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric — any way you want.Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
Offer
Learn more about ELK Elasticsearch
Learn more about Solr
Sample Customers
HotelTonight, Perceivant, Docker, Green Man Gaming, Xoom, AutoScout24, TheLadders, Center for Open Science, Parleys, TangoeHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks
Top Industries
VISITORS READING REVIEWS
Financial Services Firm23%
Software R&D Company17%
Transportation Company13%
Healthcare Company10%
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Find out what your peers are saying about ELK Elasticsearch vs. Solr and other solutions. Updated: November 2019.
379,605 professionals have used our research since 2012.
We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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