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Elastic Enterprise Search vs Solr comparison

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991 views|733 comparisons
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Search is really powerful.""Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us.""I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product.""It's a stable solution and we have not had any issues.""ELK Elasticsearch is 100% scalable as scalability is built into the design""The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment.""The UI is very nice, and performance wise it's quite good too.""The most valuable feature is the out of the box Kibana."

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"The most valuable feature is the ability to perform a natural language search."

More Solr Pros →

Cons
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view.""I would like to be able to do correlations between multiple indexes.""It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement.""Improving machine learning capabilities would be beneficial.""Something that could be improved is better integrations with Cortex and QRadar, for example.""The reports could improve.""There is a lack of technical people to develop, implement and optimize equipment operation and web queries.""The one area that can use improvement is the automapping of fields."

More Elastic Enterprise Search Cons →

"The performance for this solution, in terms of queries, could be improved."

More Solr Cons →

Pricing and Cost Advice
  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • "The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
  • "The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
  • "We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
  • "We are using the free open-sourced version of this solution."
  • "The price could be better."
  • "Although the ELK Elasticsearch software is open-source, we buy the hardware."
  • More Elastic Enterprise Search 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 →

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    Questions from the Community
    Top Answer:As I use the cloud, all of the costs for me are based on customer needs. There is a fascinating calculator published in Elastic. That there is not a specific starting cost. It can move from $10,000 US… more »
    Top Answer:Maybe Elastic Search could improve the analytics part of the search so it can be more powerful to the user. It could help provide more understanding of what people are searching for. We'd like more… more »
    Top Answer: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.
    Top Answer:The solution's grammar and syntax should be easier. 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… more »
    Top Answer:We use the solution in the telecommunications industry.
    Ranking
    1st
    out of 12 in Search as a Service
    Views
    5,723
    Comparisons
    3,217
    Reviews
    22
    Average Words per Review
    504
    Rating
    8.1
    7th
    out of 12 in Search as a Service
    Views
    991
    Comparisons
    733
    Reviews
    1
    Average Words per Review
    558
    Rating
    8.0
    Comparisons
    Learn More
    Apache
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    Overview

    Elastic Enterprise Search (Previously known as Swiftype) is Elasticsearch, with a complete set of specialized tools and extensible APIs that make it easy to build search solutions and give users the best answers, every time. Monitor performance with robust analytics, tweak relevance in real-time, and scale it all seamlessly.

    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 Elastic Enterprise Search
    Learn more about Solr
    Sample Customers
    HotelTonight, Perceivant, Docker, Green Man Gaming, Xoom, AutoScout24, TheLadders, Center for Open Science, Parleys, Tango
    eHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks
    Top Industries
    REVIEWERS
    Financial Services Firm29%
    Computer Software Company29%
    Manufacturing Company12%
    Transportation Company6%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider15%
    Financial Services Firm11%
    Media Company6%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm13%
    Comms Service Provider8%
    Retailer7%
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise8%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise17%
    Large Enterprise66%

    Elastic Enterprise Search is ranked 1st in Search as a Service with 22 reviews while Solr is ranked 7th in Search as a Service with 1 review. Elastic Enterprise Search is rated 8.2, while Solr is rated 8.0. The top reviewer of Elastic Enterprise Search writes "The go-to stack for machine- and sensor-generated data use cases. Easy to deploy and maintain. Elastic's ELK Elasticsearch, unlike AWS Elasticsearch, comes with batteries included". On the other hand, the top reviewer of Solr writes "The Natural Language Search capability is helpful and intuitive for our users". Elastic Enterprise Search is most compared with Azure Search, Amazon Athena, Splunk User Behavior Analytics, Amazon Kendra and Algolia, whereas Solr is most compared with Amazon AWS CloudSearch, Amazon Kendra, Azure Search and Algolia.

    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.