Bewertet am 18.10.2018
Extremely fast Seaching
Vorteile: Apache Solr is a Java based, advanced search index. You can index your data in the form of documents and then query it as per your needs. The Query speed is extremely fast, It provides response only in a few milli seconds even for a complex data query. It enables you to have catalog searching, and type ahead search in your application. Suitable for data, that needs frequent searching and fetching.
Nachteile: For a practical use, you will always need to keep your database and solr indexes in sync, which requires careful designing of application.
Bewertet am 9.4.2018
We use solr to index our institutional repository data
Vorteile: It is very flexible and customize-able which makes it very easy to integrate-able with other components in the development stack.
Nachteile: the query language could be a bit confusing at first. If the collection is large, it often takes a long time to index the data.
Bewertet am 28.10.2019
good text based search engine
Kommentare: i integrate this application one of my best applications. experience is awesome
Vorteile: easy to setup this application and very fast, can integrated with many framework and its simple. it has a good manageable dashboard also
Nachteile: solr queries bit complex and some queries are hard to implement in other computer languages. support is very slow
Bewertet am 2.8.2019
Excellent Document DB + Search software
Kommentare: Great, better than sharepoint search. Customizable, extensibiliy with load balancers are great, Clustering, Document sharding are great and wonderful features. Overall, this is a great product .
Vorteile: Delta query, Quick retrieval, Faster indexing, Schema definitions, Synonyms the features are endless. it almost behaves as a Database. Can integrate with any database i.e any data source. Document sharding and clustering are excellent features.
Bewertet am 12.9.2018
Type Ahead Search With Apache Solr
Vorteile: Apache Solr provides you with a search indexer. You can store data in it. Its query speed is very very fast like say in milliseconds. You can provide results for query, while user is still typing the query. Very Suitable for real-time search requirements. It stores data in documents and you can query these document to search matched documents for as per search criteria.
Nachteile: Once Apache Solr was best Search Indexer, now it competitor Elastic Search is providing same features or even better than Apache Solr.
Bewertet am 16.8.2018
Support Free Text Search
Kommentare: We populated Category and search pages of an ecommerce website using apache solr.
Vorteile: Apache solr provides with document indexing, which can be used for searching and data retrival at a very fast speed. It can query thousand of records in a fraction of seconds. Very Fact and Efficient for complex data queries.
Nachteile: You will need to keep your dbms and Apache Solr in sync, which can be a hectic task. Also in todays world elastic search provides a lot more than apache solr.
Bewertet am 15.5.2019
Great search engine and easy to use
Kommentare: I used Solr in a hack-a-thon to build a consolidated search engine for internal company assets. It performed flawlessly and we had it up in running in just a few hours feeding it data. Our web front-end had no problems integrating with it either. Solid product.
Easy to Use
Easy to manage
Nachteile: No cons that I can think of at the moment.
Bewertet am 16.8.2018
Reasonably good search tool for e-commerce
Kommentare: It is fine for e-commerce - no complaints there. I would like to see more enhancements to help users integrate with more third party tools, though.
Vorteile: We use it solely for e-commerce and it lends itself well to those needs, with suitable filtering options to offer an Amazon-like experience for visitors wanting to 'drill' into categories, etc.
Nachteile: Unfortunately, it doesn't easily integrate with other tools we use, at least not in our experience. For that reason, we are considering alternatives that would perhaps be more comprehensive.
Bewertet am 10.7.2018
If you need document indexing, Solr is a great piece of software.
Kommentare: If you need document indexing, I would recommend this. But then again, I'm not in the need for anything more.
Vorteile: It took me a little while to get up-to-speed with Solr, but only because I didn't know the terminology. This was my first look into document indexing, and I have to say I was very impressed. Documentation was an absolute must for me, but it wasn't lacking, with good examples.
Nachteile: Steep learning curve, but then it's not something you need to learn every day. I can't fault it other than that.
Bewertet am 13.3.2018
Open source search engine
Kommentare: I used it for a web crawling scenario. In this case I used it together with Apache Nutch, not a native plugin has been provided. Documentation could be more clear and complete.
Vorteile: SOLR is a very flexible search engine, with a lot of feature for this specific topic. Easy to configure using a GUI.
Bewertet am 13.3.2018
Reliable and very scalable indexing software that I have used
(1) It is highly scalable
(2) It is based on a distributed model
(3) load balancing happens by default when querying
(4) Indexing is really fast
Nachteile: It hits a limitation as full text indexes grow beyond the amount of available memory on the servers