Elasticsearch

Kommentare: Elasticsearch helps in performing optimised searching over the vast amount of data present in your system. The configuration for Elasticsearch can have some learning curve, but once setup completely, the indexed searches are really fast as compared to other basic solutions and helps users in searching your system from vast amount of data. Its ideal for Big data and can be used in other e-commerce solutions also. Text searching is really fast and helps your system in maintaining performance and scalability over search operations.

Vorteile: Elasticsearch is a great solution for implementing optimised searches over the data you have lying in your databases. The setup and configuration is a bit tricky, but once you have configured the data points and the indexes, the search is lighting fast. You can go for the complete text search or for the autocomplete bases suggestions which can help your users to quickly search for the right things in your system.

Nachteile: The setup of Elasticsearch does have a learning curve for the developers, but the documentation is really helpful in getting you over the curve. Setting up indexes or data points for search can be tricky. Elasticsearch needs to setup a more proactive customer support so that developers who are facing deadlines, can easily sort their issues with the help of tech support.

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.

Kommentare: Our company uses elasticsearch to analyze data in very large data. Successful indexing is designed in a cluster (node) structure, which has made our work much easier. Thanks to this search engine, we can reach the desired analysis results in the data. It is a blessing for our sector employees to have a free application running in this performance.

Vorteile: Flexibility and high performance are the most loved features for us. The fact that we are not using it very effectively is also a ramen of suggestions and guidance.

Nachteile: The only feature I don't like is that it is Java based.

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

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.