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Apache Solr Certified by Bitnami

Bitnami | 8.9.0-0-r01 on Debian 10

Linux/Unix, Debian 10 - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

5 AWS reviews

External reviews

22 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Mallayasamy K.

Best backend toll for search engine

  • June 04, 2021
  • Review provided by G2

What do you like best?
one of the best search engine tools, its help to search the product on the home page. Able to seee the list of collection property in the dash board
What do you dislike?
Mapped IP's are showed in red colour but while clicking the IP we cant able find out the root cause of the issues
What problems are you solving with the product? What benefits have you realized?
searched and other products are showed quickly. there is no slowness to display the product
Recommendations to others considering the product:
its good for business aspects


    Kyle H.

Runs great, but documentation is abysmal

  • February 25, 2021
  • Review verified by AWS Marketplace

Super easy to set up via AWS. But once your instance is started, setup is a pain b/c of the sub-par documentation. Decent Solr documentation in general is very hard to come by, but Bitnami could do a great service to budding Solr admins by upping their documentation game.


    Rohit N.

Scalable, Stable and Easy to use Search Engine

  • April 28, 2020
  • Review provided by G2

What do you like best?
Ease of using and setup. We can get up and running in 1-2 days for a simple use case. Building on that is simple and straightforward.
Good admin UI to watch the system metrics and delta indexing process which runs at a preset interval.
What do you dislike?
There is nothing specific that I don't like about Solr.
What problems are you solving with the product? What benefits have you realized?
Large set user activities data feeds. We index this data in Solr and show them on the activities page.
Recommendations to others considering the product:
1. Quick learning curve
2. Easy to code on the client-side.
3. Easy to set up and can be up and running in 1-2 days for simple use cases.
4. Its open source and free to use.


    Computer Software

Average Software for Search Optimization

  • April 19, 2020
  • Review provided by G2

What do you like best?
I had personally used Apache Solr in the enterprise web application development which is basically written in java. Besides that, the Apache Solr is also written in java. It is very easy to use and very easy to understand. The main features provided by the Apache Solr, for example, full-text search, real-time indexing, dynamic clustering, database integration, rich document handling and, NoSQL features.
What do you dislike?
The Apache Solr is an average tool use for document indexing, which can be used for searching and data retrieval. But, I would like to suggest some areas of improvement needed in this tool, for example, solr tool is a bit complex. The naive user facing difficulties in understanding the basics of this tool and also hard to implement in other computer languages. support is very slow.
What problems are you solving with the product? What benefits have you realized?
With the help of this tool, we can optimize are applications search engine by using search indexer techniques.
Recommendations to others considering the product:
I recommend other please use elastic search. if you want faster deployment, ready to live with a lesser grain of control.


    Computer Software

Great document db+ search store

  • August 03, 2019
  • Review provided by G2

What do you like best?
synonyms, infecing, delta query , document sharding plus the schema with regular expressions gives a fantastic edge for representing search data .clustering is great.
What do you dislike?
not happy that there is no inbuilt javascript library or a datagrid that can interface with solr and search say around 10 million records. solr is for faster retrival, something on the lines of datatable js library would help.this grid shoukd be available as a plugin.
What problems are you solving with the product? What benefits have you realized?
search and document db.
Recommendations to others considering the product:
modern era inthe cloud have brilliant tools , solr may have to readjust.


    Financial Services

Fast search index

  • May 03, 2019
  • Review provided by G2

What do you like best?
Solr is extremely fast indexing tool that is easy to configure. It’s dev panel also allows for an ease of debugging.
What do you dislike?
I dislike the documentation around it. It is hard to follow
What problems are you solving with the product? What benefits have you realized?
Indexing file names for a search engine


    Vinay G.

Great search mechanism!

  • April 15, 2019
  • Review provided by G2

What do you like best?
A very easy configuration and implementation. Good support with both RDMS like Oracle and NoSQL like Mongo DB. Great way to support type ahead search and one field search in application/product. Very efficient. Support of multi-datasource at a time from one Solr component. Good Solr client APIs for Java developers.
What do you dislike?
Nothing much but a bit tricky handling for continuously updating data. Need to handle Security carefully by developer.
What problems are you solving with the product? What benefits have you realized?
Used for one column search. Also for type ahead search to make good user experience.
Recommendations to others considering the product:
Try it - it's great for search mechanism.


    abhishek k.

Apache Solr has flexible Query for API and powerful engine

  • July 31, 2018
  • Review provided by G2

What do you like best?
it is very easy and simple to access its data via REST API. The flexibility in adjusting the query in terms of boosting, faceting and more is very useful.
What do you dislike?
It would be good to handle authentication natively in an enterprise scale. Currently it has to be wrapped by another service that does authentication.
What problems are you solving with the product? What benefits have you realized?
it is powerful search engine to serve large data of information which is best used when quick search results are requested by the frontend system
Recommendations to others considering the product:
It is used whenever high and large data volume needs to be filtered and classified for search and filtering.Hence this is very poweful tool to be used . Alternative tools like elastic search can also be used and utilised in multiple search engine across the organisation whenever there is need to search on large volume of data. Hence it becomes essential to deploy , handy , quick and light weight tool . I would recommend this tool for all the organisation which is looking for easy search engine on high volume of data. This is big deal when performance is critical for frontend application across any organisation


    Information Services

Solr - Powerful and Flexible Search Engine

  • March 20, 2018
  • Review provided by G2

What do you like best?
Solr is designed from th groud up for scalability. If you are launching a search product and expect demand to grow this is an excellent option. The support community is also excellent. One of the best Open Source projects out there.
What do you dislike?
For some tasks working with Solr requries customization beyond what is needed with commercial products. Solr lacks some data filters that commercial rpoducts offer. Entity extraction is basic.
What problems are you solving with the product? What benefits have you realized?
Online publishing. Performance and flexiblity and extensibility are all excellent.
Recommendations to others considering the product:
Look at all the features that your project requires so that you can identify functionality that is off the shelf vs custom.


    KC B.

Solr is a great product for giving users an easy way to find data

  • January 12, 2018
  • Review provided by G2

What do you like best?
Solr strength is the fact that it can quickly search through billions (yes with a B) or records to ptu the right data in front of a user.
What do you dislike?
There is not much to dislike about solr. sometimes solr cloud acts up and does not fail over correctly.
What problems are you solving with the product? What benefits have you realized?
Search through millions or records with multiple facets within each record to get the right record in from of the searcher fast.
Recommendations to others considering the product:
if you need to search massive amounts of data, Solr is the best.