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Solr OverviewUNIXBusinessApplication

Solr is #7 ranked solution in top Search as a Service vendors. PeerSpot users give Solr an average rating of 8.0 out of 10. Solr is most commonly compared to Amazon Kendra: Solr vs Amazon Kendra. Solr is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 23% of all views.
What is Solr?
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.
Solr Customers
eHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks

Archived Solr Reviews (more than two years old)

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Data Scientist at a comms service provider with 10,001+ employees
Consultant
Good indexing and decent stability, but requires more documentation
Pros and Cons
  • "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."
  • "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."

What is our primary use case?

We use the solution in the telecommunications industry.

What is most valuable?

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.

What needs improvement?

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 tutorials to help with training or troubleshooting.

MongoDB can realize more complex operations than Solr can. Solr should add some more complex operations to the database to at least bring it up to MondoDB's level of functionality. It would make it more competitive. 

There might be some compatibility issues between the data types within Solr. This needs to be improved.

Solr has a schema that we have to load the schema as an HTML, or SML file. This usually needs to be done by our engineers. It should be easier to do without needing too much technical background.

For how long have I used the solution?

We've been using the solution for more than one and a half years.

What do I think about the stability of the solution?

The stability is pretty good. however, I wouldn't say that it is as stable as MongoDB. Mongo is much more reliable.

What do I think about the scalability of the solution?

I'm unsure about the scalability of the solution. We have ten people in our team, and out of those, four people actually work on it. They're mostly data engineers. I'm not sure if we plan to increase usage or not in the future.

How are customer service and support?

I haven't really dealt with technical support. I've mostly just gone through online tutorials to get help. I find those lacking, however. They need work so that they would actually be more useful for people.

Which solution did I use previously and why did I switch?

We also use MongoDB. Solr is better than MongoDB because the Solr already indexes to all in their categorical field. We find that Solr also sometimes offers better performance. However, we do find that MongoDB is better for more complex operations.

How was the initial setup?

I'm unsure about the initial setup. Our data engineer handled the implementation. I didn't participate in the process, so I can't speak to how straightforward or complex it was.

What about the implementation team?

Our data engineer handled the process for us. It was handled in house.

What other advice do I have?

We're just customers. We don't have a business relationship with the company.

I'd rate the solution seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user803529 - PeerSpot reviewer
Senior Software Engineer, Search at a tech services company with 501-1,000 employees
Real User
Improves our search ranking, relevancy, search performance, and user retention

How has it helped my organization?

It has improved our search ranking, relevancy, search performance, and user retention.

What is most valuable?

  • Sharding data
  • Faceting
  • Hit Highlighting
  • Parent-child Block Join and Grouping
  • Multi-mode platform

What needs improvement?

SolrCloud stability, indexing and commit speed, and real-time indexing need improvement.

For how long have I used the solution?

Three to five years.

What do I think about the stability of the solution?

  • Encountered issues with both master-slave and SolrCloud.
  • Indexing and serving traffic from same collection has very poor performance.
  • Some components are slow for searching.

What do I think about the scalability of the solution?

With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated.

How are customer service and technical support?

Online content is available, but release cycle is relatively slow. Since it's open-source, there is no dedicated support to reach out to when there is a P1 issue.

Which solution did I use previously and why did I switch?

No previous solution.

How was the initial setup?

Complex in making system scalable and performant enough.

Which other solutions did I evaluate?

Elasticsearch.

What other advice do I have?

One of the best search platforms available today.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
PeerSpot user
VP of Product at a legal firm with 51-200 employees
Vendor
It has a powerful search syntax we use to find documents with specific attributes, but its memory utilization could be improved.

Valuable Features

We use Solr to index over 600k documents. It's very fast and has been flexible to use. The speed of indexing individual documents has been great. The most valuable feature has been the powerful search syntax that we use to find documents with specific attributes.

Improvements to My Organization

We now have a much more powerful way to search our set of documents and the open source price is right.

Room for Improvement

Memory utilization could be better but it is an industrial strength tool so some overhead is to be expected.

Use of Solution

4 years

Customer Service and Technical Support

N/A - use books and online forums for support.

Other Advice

Doing this again I would look at search as a service solution. The overhead cost of running Solr on a cloud server and the additional storage should be evaluated against something like elasticsearch. Rackspace has not had a search service, but if they did we would consider it.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
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