TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon Elasticsearch Service

    Score6.2 out of 10
    N/AAmazon Elasticsearch Service is a fully managed service that enables users to search, analyze, and visualize your log data at petabyte-scale. As a fully managed service, Amazon Elasticsearch Service manages the setup, deployment, configuration, patching, and monitoring of Elasticsearch clusters, so users can spend less time managing clusters and more time building applications. With a few clicks in the AWS console, users create scalable, secure, and available Elasticsearch clusters. Amazon…N/A

    Apache Solr

    Score9 out of 10
    N/AApache Solr is an open-source enterprise search server.N/A
    Pricing
    Amazon Elasticsearch ServiceApache Solr
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Amazon Elasticsearch ServiceApache Solr
    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
    Amazon Elasticsearch ServiceApache Solr
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Apache
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    No answers on this topic
    Delivers good value for the price
    80%
    Delivers good value for the price
    4 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    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
    80%
    Implementation went as expected
    4 Answers
    No answers on this topic
    Best Alternatives
    Amazon Elasticsearch ServiceApache Solr
    Small Businesses
    Elasticsearch
    Score8.6 out of 10
    Elasticsearch
    Score8.6 out of 10
    Medium-sized Companies
    Algolia
    Score8.7 out of 10
    Algolia
    Score8.7 out of 10
    Enterprises
    Algolia
    Score8.7 out of 10
    Algolia
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon Elasticsearch ServiceApache Solr
    Likelihood to Recommend
    6.0
    (5 ratings)
    9.0
    (10 ratings)
    Usability
    7.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Amazon Elasticsearch ServiceApache Solr
    Likelihood to Recommend
    Amazon AWS
    Elasticsearch is a good alternative to relational databases for setting up complex searching of data. It's inbuilt features for slicing the data [in] different ways and its ability to add weights to search results makes it easy to set up complex searching scenarios. Given that data must be pushed to this service, it may be best suited for data that is not changing very rapidly.
    Incentivized
    Read full review
    Apache
    Solr spins up nicely and works effectively for small enterprise environments providing helpful mechanisms for fuzzy searches and facetted searching. For larger enterprises with complex business solutions you'll find the need to hire an expert Solr engineer to optimize the powerful platform to your needs. Internationalization is tricky with Solr and many hosting solutions may limit you to a latin character set.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • Search
    • Query language
    • light-weight
    Incentivized
    Read full review
    Apache
    • Easy to get started with Apache Solr. Whether it is tackling a setup issue or trying to learn some of the more advanced features, there are plenty of resources to help you out and get you going.
    • Performance. Apache Solr allows for a lot of custom tuning (if needed) and provides great out of the box performance for searching on large data sets.
    • Maintenance. After setting up Solr in a production environment there are plenty of tools provided to help you maintain and update your application. Apache Solr comes with great fault tolerance built in and has proven to be very reliable.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • It is not so simple to learn.
    • Documentation is often very confusing.
    Read full review
    Apache
    • These examples are due to the way we use Apache Solr. I think we have had the same problems with other NoSQL databases (but perhaps not the same solution). High data volumes of data and a lot of users were the causes.
    • We have lot of classifications and lot of data for each classification. This gave us several problems:
    • First: We couldn't keep all our data in Solr. Then we have all data in our MySQL DB and searching data in Solr. So we need to be sure to update and match the 2 databases in the same time.
    • Second: We needed several load balanced Solr databases.
    • Third: We needed to update all the databases and keep old data status.
    • If I don't speak about problems due to our lack of experience, the main Solr problem came from frequency of updates vs validation of several database. We encountered several locks due to this (our ops team didn't want to use real clustering, so all DB weren't updated). Problem messages were not always clear and we several days to understand the problems.
    Read full review
    Usability
    Amazon AWS
    It is an extremely powerful tool if the time is put in to learn it. There are basic skeletons of out of the box behavior, it involves having really dedicated people to learn how to use it to take full advantage of its capabilities. A 10 for the tool itself, minus 3 for the difficulty in learning and maintenance
    Incentivized
    Read full review
    Apache
    It takes some time to deploy and currectly maintein it. And also, to learn how to use and integrate in the enviroment as well. Once you get theses steps done, it usability is very simple, and almost of the time it don't require no further attention on it. Even for maintence, if you deploy it on a cluster mode, it is very reliable and easy to take one host down.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    Splunk is the most flexible of the 3 where you can manipulate the data to whatever fits your specific use case. Grafana has the most powerful capabilities but the steepest learning curve. Grafana also does offer the most flexibility as you can visualize almost any data source. Elastic is a solid middle ground between the 2
    Incentivized
    Read full review
    Apache
    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 will be a little less expensive and offer more customization and flexibility.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • The cost is a bit expensive if compared with other clouds but [the] performance is very good.
    Incentivized
    Read full review
    Apache
    • It has enabled my organization to find information faster by being a one-stop service to search across content that were indexed from varying sources.
    • By using synonyms and usual lemmatizations / stemming, it enabled discovery of new content following every search.
    Incentivized
    Read full review
    ScreenShots