Apache Solr vs. Inbenta Enterprise Search

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Solr
Score 6.8 out of 10
N/A
Apache Solr is an open-source enterprise search server.N/A
Inbenta Enterprise Search
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
Inbenta is a conversational intelligence technology provider headquartered in Sunnyvale. Inbenta Search is a search tool built with the vendor’s Symbolic AI and Natural Language Processing (NLP) that aims to help the user reduce support cost by understanding customers’ questions and quickly delivering the most relevant answers, providing a self-service solution to customer support.N/A
Pricing
Apache SolrInbenta Enterprise Search
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache SolrInbenta Enterprise Search
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeRequired
Additional DetailsInbenta is a scalable solution. The vendor charges based on the number of sessions or searches that occur on the user's support site. The vendor also offers free trials with certain partner integrations including Zendesk and Salesforce Desk.com.
More Pricing Information
Community Pulse
Apache SolrInbenta Enterprise Search
Considered Both Products
Apache Solr

No answer on this topic

Inbenta Enterprise Search
Chose Inbenta Enterprise Search
Apache Solr to Inbenta is like Java to Python. Apache Solr is powerful and handles complex search platforms well. Inbenta, on the other hand, is meant to be easy to use and does not lay too much emphasis on performance. If you are a small or medium business, Inbenta may suit …
Top Pros
Top Cons
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Apache SolrInbenta Enterprise Search
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User Ratings
Apache SolrInbenta Enterprise Search
Likelihood to Recommend
9.0
(10 ratings)
8.0
(1 ratings)
User Testimonials
Apache SolrInbenta Enterprise Search
Likelihood to Recommend
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.
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Inbenta Technologies Inc.
If you are looking for an enterprise search platform that offers an easy to use interface and if high performance is not really your priority, then I believe Inbenta Enterprise Search would fit your use case. For most other situations, I would recommend using a tried and tested search platform like Apache Solr.
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Pros
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.
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Inbenta Technologies Inc.
  • Fairly easy to use interface.
  • Quick to onboard new users, both in terms of access as well as training.
  • The NLP-based semantic search feature is quite impressive.
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Cons
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.
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Inbenta Technologies Inc.
  • It is a fairly new tool in the market, so not much market feedback exists for this. This made us apprehensive in using it.
  • The documentation and online forums are bare minimum.
  • Quite buggy when working with multiple sources.
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Alternatives Considered
Apache
Apache Solr is a ready-to-use product addressing specific use cases such as keyword searches from a huge set of data documents.
Read full review
Inbenta Technologies Inc.
Apache Solr to Inbenta is like Java to Python. Apache Solr is powerful and handles complex search platforms well. Inbenta, on the other hand, is meant to be easy to use and does not lay too much emphasis on performance. If you are a small or medium business, Inbenta may suit your needs better. However, if you wish to manage a large and complex search platform, Solr is the way to go.
Read full review
Return on Investment
Apache
  • Improved response time in e-commerce websites.
  • Developer's job is easier with Apache Solr in use.
  • Customization in filtering and sorting is possible.
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Inbenta Technologies Inc.
  • Enabled our developers to quickly deploy changes to the search model.
  • NLP-powered semantic search feedback provides good actionable insights.
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ScreenShots

Inbenta Enterprise Search Screenshots

Screenshot of Inbenta Search Sample Result