Compare ELK Elasticsearch vs. Solr

You must select at least 2 products to compare!
ELK Elasticsearch Logo
3,553 views|2,351 comparisons
Solr Logo
Read 2 Solr reviews.
1,481 views|1,159 comparisons
Most Helpful Review
Quotes From Members

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

The most valuable features are the ease and speed of the setup.There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it.Dashboard is very customizable.The product is scalable with good performance.I value the feature that allows me to share the dashboards to different people with different levels of access.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.

More ELK Elasticsearch Pros »

One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great.The most valuable feature is the ability to perform a natural language search.

More Solr Pros »

Kibana should be more friendly, especially when building dashboards.The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it.Could have more open source tools and testing.The GUI is the part of the program which has the most room for improvement.Ratio aggregation is not supported in this solution.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.

More ELK Elasticsearch Cons »

It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or tutorials to help with training or troubleshooting.The performance for this solution, in terms of queries, could be improved.

More Solr Cons »

Pricing and Cost Advice
It can be expensive.We are using the free version and intend to upgrade.

More ELK Elasticsearch Pricing and Cost Advice »

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.

More Solr Pricing and Cost Advice »

Use our free recommendation engine to learn which Search as a Service solutions are best for your needs.
431,670 professionals have used our research since 2012.
out of 12 in Search as a Service
Average Words per Review
Avg. Rating
out of 12 in Search as a Service
Average Words per Review
Avg. Rating
Popular Comparisons
Compared 53% of the time.
Compared 22% of the time.
Compared 6% of the time.
Compared 2% of the time.
Compared 48% of the time.
Compared 17% of the time.
Compared 14% of the time.
Compared 6% of the time.
Compared 3% of the time.
Video Not Available
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.
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
Computer Software Company25%
Media Company15%
Comms Service Provider7%
Transportation Company6%
No Data Available
ELK Elasticsearch is ranked 1st in Search as a Service with 9 reviews while Solr is ranked 4th in Search as a Service with 2 reviews. ELK Elasticsearch is rated 8.2, while Solr is rated 7.6. The top reviewer of ELK Elasticsearch writes "Good processing power, very scalable, and able to handle all data formats". 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, Amazon Athena, Amazon AWS CloudSearch, Algolia and Loom Systems, whereas Solr is most compared with Azure Search, Amazon AWS CloudSearch, Algolia, Amazon Kendra and Amazon Athena.

See our list of best Search as a Service vendors.

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.