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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Solr

    Score9 out of 10
    N/AApache Solr is an open-source enterprise search server.N/A

    Elasticsearch

    Score8.6 out of 10
    N/AElasticsearch is an enterprise search tool from Elastic in Mountain View, California.

    $16

    per month

    Pricing
    Apache SolrElasticsearch
    Editions & Modules
    No answers on this topic
    Standard
    $16.00
    per month
    Gold
    $19.00
    per month
    Platinum
    $22.00
    per month
    Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    Apache SolrElasticsearch
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Apache SolrElasticsearch
    Considered Both Products
    Apache
    Chose Apache Solr
    We tried to use both Elasticsearch and Swiftype with Drupal 8 but there are currently no good modules that integrate Drupal with those solutions. So Solr was really the only option for a Drupal 8 web site. It's not as easy to learn or use as Swiftype, but in the end I think it …
    Incentivized
    Chose Apache Solr
    Between Solr and ElasticSearch, there is a constant struggle to pick the best one. ElasticSearch is part of ELK and ties in well with LogStash and Kibana which makes it great for logs and big data stuff. Add some logs and see which works best for your particular access methods …
    Incentivized
    Chose Apache Solr
    Some people on my team tried MondoDB and had several problems (don't remember which ones).

    Elasticsearch would be a good choice but we didn't have it in our minds when we made the choice.
    Incentivized
    Chose Apache Solr
    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 …
    Incentivized
    Chose Apache Solr
    We tryed to promote Redis as cache solution for application, in order to replace Apache Solr, but it won't go well. Redis best pratices requires some more computer resources. With Elastic Search, the use case was another, and don't compete with Apache Solr.
    Incentivized
    Elastic
    Chose Elasticsearch
    Apache Solr is the closest competitor to ElasticSearch from a search engine perspective. ElasticSearch is simple and streamlined in it's configuration. When taken as a whole, Apache Solr is more robust as a storage engine from a developer perspective, ElasticSearch has the …
    Incentivized
    Chose Elasticsearch
    Elasticsearch is the most well-known and supported free data platform that we identified. We are taking advantage of community knowledge and practices.
    In terms of flexibility and breadth of use cases no other competitor came close to Elasticsearch.
    We've tried Solr in the past …
    Incentivized
    Chose Elasticsearch
    Elasticsearch and Solr are both based on Lucene, but the user community for Elasticsearch is much stronger, and setting up a cluster is easier. Splunk is very well suited for Log indexing and searching but is not nearly as flexible as Elasticsearch. Couchbase is a great NoSQL …
    Incentivized
    Chose Elasticsearch
    Elasticsearch is very well packed in a broad set of features, ranging from customization capabilities to security and add-ons, and also comes with a great visualization tool named Kibana. Most of the competitors are strong in some of these areas, but I know of no other that's …
    Incentivized
    Chose Elasticsearch
    Almost no one uses Solr anymore--most have migrated to Elasticsearch. I've never tried it myself but I heard Solr is much more difficult to configure and because it doesn't use a REST API, it locks you into Java and XML. XML--ick!
    Lucene: Elasticsearch is built using Lucene …
    Incentivized
    Chose 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 …
    Incentivized
    Chose Elasticsearch
    When we first evaluated Elasticsearch, we compared it with alternatives like traditional RDBMS products (Postgres, MySQL) as well as other noSQL solutions like Cassandra & MongoDB. For our use case, Elasticsearch delivered on two fronts. First, we got a world-class search …
    Incentivized
    Chose Elasticsearch
    Power and simplicity along with performance.
    Incentivized
    Chose Elasticsearch
    We found Elasticsearch to be the fastest in querying text based data, allowing us to significantly speed up our APIs.
    Incentivized
    Chose Elasticsearch
    NEST library is excellent, excellent performance, and scalability (we used a cluster of 2 nodes, and most the queries completed in ms, some may take up to 2s.
    Incentivized
    Chose Elasticsearch
    Elasticsearch is widely popular and it's mostly free. Its ecosystem, ability to scale, ease to set up, integration with other systems, highly usable API make it really great compared to its competition.
    Incentivized
    Chose Elasticsearch
    Elasticsearch is DevOps friendly; it is easy for installation and management of a node/cluster. It is very friendly for developers by providing the REST API out of the box, reducing the development time.
    Incentivized
    Chose Elasticsearch
    Elasticsearch is based off of Apache Lucene. You get the same power as well as a JSON response. REST API is simple and easy to understand. Other options include XML responses which is much more complicated to parse at times.
    Incentivized
    Chose Elasticsearch
    For our application, ElasticSearch fulfilled all the criteria we were looking for. Something that's easy to scale and flexible. I think ElasticSearch works better that Solr with modern real-time search applications. Also, ElasticSearch is easy to integrate with. ElasticSearch …
    Incentivized
    Chose Elasticsearch
    Solr is the only other alternative product I've used. Elasticsearch in comparison is a much better product. The query language in elasticsearch along with the cluster management and sharding makes Elasticsearch a clear winner.
    Incentivized
    Chose Elasticsearch
    We have used Solr. Elastic Search aggregations is what made us move to elastic search initially.
    Incentivized
    Chose Elasticsearch
    Ability to support JSON queries, Percolator, ease to set up and custom routing were some of the reasons why we decided to use Elasticsearch instead of Solr.
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    TrustRadius Insights
    Apache SolrElasticsearch
    Highlights

    TrustRadius
    Research Team Insight
    Published

    Apache Solr and Elasticsearch are both open-source enterprise search software solutions that allow users to search and retrieve data within an organization. Both software options integrate with tools like databases or intranets where information can be collected or displayed. Businesses of all sizes use both Apache Solr and Elasticsearch.

    Features

    Apache Solr and Elasticsearch both provide essential enterprise search features, including data retrieval and display. Despite this, both software options have a few standout features that set them apart from each other.

    Apache Solr offers robust text search features that allow users to search for materials by their content. Apache Solr has many contributors to its open-source code. Developers and code committers for Apache Solr are selected from that community of contributors. This approach to development means bugfixes and updates are frequent, and features can be developed quickly. Lastly, Apache Solr provides detailed documentation for developers, including multiple examples.

    Elasticsearch is lightweight to the extent that a business can install and run the Elasticsearch in a matter of minutes. Similarly, Elasticsearch configuration is based on JSON, which makes file configuration simple, if a little inflexible in terms of documentation. JSON compatibility also makes Elasticsearch a great choice when working with JSON applications. Elasticsearch focuses on complex querying and filtering, though it also offers basic text search. Lastly, Elasticsearch is designed for the cloud and supports clustering, leading to a highly scalable option.

    Limitations

    Though Apache Solr and Elasticsearch have robust sets of features, they both have a few limitations that are important to consider.

    Apache Solr offers text search features but is limited when it comes to more complex querying and filtering. Lack of complex querying can make Apache Solr a poor choice for applications that need non-text search features. Additionally, Apache Solr is a heavier software option compared to Elasticsearch, which can make installation more challenging for lightweight applications.

    Elasticsearch is open-source in that all users have access to the source code. However, unlike many open-source technologies, all changes to the code must be approved by Elastic developers. As a result, Elasticsearch provides the financial benefits of open-source software but doesn’t offer the same level of community development as Apache Solr. Additionally, though Elastisearch provides complex search features, its text search features are more limited compared to Apache Solr.

    Pricing

    Apache Solr and Elasticsearch are both open-source technologies, meaning their source code is available for free. Despite this, both software options also have vendors that provide cloud hosting services. Pricing for Apache Solr and Elasticsearch is dependent on factors such as the vendor, support needs, and amount of indexed nodes. Apache Solr pricing usually starts around $10.00 per month, while Elasticsearch starts around $16.00 per month.

    User Ratings
    Apache SolrElasticsearch
    Likelihood to Recommend
    9.0
    (10 ratings)
    9.0
    (48 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    7.8
    (9 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (1 ratings)