Elasticsearch

"Best search engine on the market"

Kommentare: I work with Elasticsearch as a developer on a daily bases for textual search. It is the greatest tool I've used in years. Really like it.

Vorteile: It is just the best back end for search engines in the market. A NoSQL database that is trustworthy. Also, it is open source. Incredibly easy to use.

Nachteile: Mostly for developers: other people would have a hard time with it.

"Scale, Features, Functionality."

Kommentare: Excellent. The ELK stack is the foundation of our audit process, and it's held up really well. The installation can be automated, and archiving in the AWS environment works quite well. We have not yet had a problem in scaling resources to match our resource needs. The integrations with logstash, beats and kibana have been excellent, and used to great effect.

Vorteile: Scale: You can run this from a single server or even co-installed on a database or file server. I wouldn't recommend it, but let's just say it will run in a small box. On the top side, Elasticsearch will run in clusters managing multiple Terabytes of data.
Features: Excellent flexibility to absorb multiple types of data sources, and great integration with Logstash and Kibana.

Nachteile: The upgrades in terms of archived data. This platform changes significantly on an annual basis. If you do a ton of customization, automation, or work with a lot of data, this can be an issue as you will need to update ALL of your data for every upgrade.

"Highly recommended for search platforms"

Kommentare: Setting up a search platform using Elasticsearch was super fun and easy. I was able to get some great search query response times and development efforts were minimal compared to dealing with Lucene directly.

Vorteile: It's a great tool to setup a search platform almost of any size in a company. I have worked with Apache Lucene and Elasticsearch just saves all that trouble of dealing with the indices all the time in Lucene and rather provides seamless integration through APIs for search queries. It was really easy to setup the cluster and shards and manage the stack. The APIs offer a wide range of search features and saves a lot of effort coding hundreds of line for every small advanced search filtering function.

Nachteile: The documentation of the APIs could be improved. It was a bit overwhelming at times to lookup the correct functionality we wanted to actually implement. The tutorials and courses are quite expensive.

"Review for Elasticsearch"

Vorteile: Elastic Search is easy to install
Easy to use as there are loads of documentations present online
Easy to scale up when the need arises
Uses REST FULL API which is light weight.

Nachteile: monitoring of Elastic Search are complex like wise administration
Installation of elastic search on windows OS is not straight forward

"A complete stack for full text search"

Kommentare: Elasticsearch might be overkill if you are working with a small or mid-sized applications. However it's a serious solution for big-scale apps that are dealing with millions of records. The setup of the Elasticsearch might seem easy, but the maintenance is not. If you have simpler needs, I would suggest the full-text search functionality of modern PostgreSQL versions.

Vorteile: Elasticsearch is quite powerful and fast. You can implement it to any enterprise software independent of the scale. It's well documented and getting frequent updates. It's also a reliable software that you can use in mission-critical operations.

Nachteile: Breaking changes between different versions are hard to deal with. Each major version upgrade of ElasticSearch is bringing new functionality, improved security, and speed - but at the same time, it requires you to update your indexes, which is not an easy task if you don't have a strong infrastructure team.