What users are saying about
35 Ratings
Top Rated
331 Ratings
35 Ratings
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Score 7.7 out of 100
Top Rated
331 Ratings
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Score 8.3 out of 100

Likelihood to Recommend

Apache Solr

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.
Peter Feddo | TrustRadius Reviewer

MongoDB

Mongo DB is better placed in large projects, with great scalability. It also allows you to work quite comfortably with projects based on programming languages such as javascript angular typescript C #. I believe that its performance is much better with the type of technologies that handle very logical, similar terms of programming. If we use languages like java php, for example, it is better to work with relational databases like postgres or mySql. Since this type of technology allows you to work better with database management frameworks much more agile for these environments, such as JPA, HIBERNATE, Oracle, I think they are much better with this type of architecture and programming languages.
Ronald Melendez | TrustRadius Reviewer

Feature Rating Comparison

NoSQL Databases

Apache Solr
MongoDB
9.0
Performance
Apache Solr
MongoDB
9.3
Availability
Apache Solr
MongoDB
9.0
Concurrency
Apache Solr
MongoDB
8.6
Security
Apache Solr
MongoDB
8.2
Scalability
Apache Solr
MongoDB
9.3
Data model flexibility
Apache Solr
MongoDB
9.2
Deployment model flexibility
Apache Solr
MongoDB
9.2

Pros

Apache Solr

  • 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.
Anonymous | TrustRadius Reviewer

MongoDB

  • Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
  • Fast performance.
  • It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
  • There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
  • Query syntax is pretty simple to grasp and utilize.
  • Aggregate functions are powerful.
  • Scaling options.
  • Documentation is quite good and versioned for each release.
Joshua Weaver | TrustRadius Reviewer

Cons

Apache Solr

  • 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.
Philippe Kozak | TrustRadius Reviewer

MongoDB

  • I love the idea of Map-Reduce native support in MongoDB. Admittedly I have not used it as much as I would like -- it always seems to trip me up.
  • Recent additions to the aggregation queries have helped reduce (no pun intended) my need to better wield the weapon that is Map-Reduce.
Jon Kern | TrustRadius Reviewer

Likelihood to Renew

Apache Solr

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 9.6
Based on 68 answers
This is a very convenient "go to" database for application CRUD operations. So many applications need to create, read, update, and delete records. Here's the trick though - as a product changes, the data does as well. Having a database that makes this process easy and avoids the need to manage a schema and migrations is extremely valuable.MongoDB may not be the tool for every need but it is often always a tool that gets used for some need or another.
Tom Maiaroto | TrustRadius Reviewer

Usability

Apache Solr

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 8.0
Based on 3 answers
I'm not a database expert by any means. But MongoDB has helped lower the barrier to entry in the world of full stack development. It has an expressive and easy to understand syntax and API. Additionally, their documentation is really quite detailed and easy to follow. Anyone with javascript experience should be able to work with it.
Joshua Weaver | TrustRadius Reviewer

Support Rating

Apache Solr

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 8.0
Based on 4 answers
I never had problems with the application. It complies with all the characteristics that the company specifies with this product.
Fernando Malave | TrustRadius Reviewer

Implementation Rating

Apache Solr

No score
No answers yet
No answers on this topic

MongoDB

MongoDB 8.4
Based on 4 answers
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
Tom Maiaroto | TrustRadius Reviewer

Alternatives Considered

Apache Solr

We have considering AWS search and Elastic search but decide to go with Solr as we need high speed and flexible query, and so far it meets all our requirement so we still continue with Solr.
trang nguyen | TrustRadius Reviewer

MongoDB

MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.Other platforms had specific parts of what we were looking for - MongoDB had it all.
Jeff Sherard | TrustRadius Reviewer

Return on Investment

Apache Solr

  • It's enabled us to deliver fast, relevant search results on our new website. The site is still in beta and being actively developed so our complete ROI is still unknown.
  • It integrates very well with Drupal so it has saved us from having to develop a custom solution.
Richard Davies | TrustRadius Reviewer

MongoDB

  • Much faster development time.
  • Price is fantastic compared to MSSQL when you consider OS costs and the entire package.
  • Only negative to me is the lack of DBA skills for it, due to it being a new player in the field. I feel like that will get better as time moves on however.
Joshua Austill | TrustRadius Reviewer

Screenshots

Apache Solr

Pricing Details

Apache Solr

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

MongoDB

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Apache Solr
7.6
MongoDB
9.0

Likelihood to Renew

Apache Solr
MongoDB
9.6

Usability

Apache Solr
MongoDB
8.0

Reliability and Availability

Apache Solr
MongoDB
9.0

Support Rating

Apache Solr
MongoDB
8.0

Implementation Rating

Apache Solr
MongoDB
8.4

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