elasticsearch - What is elastic search -

i'm wanting know elastic search. said helps search data when see webinars feels have replicate data in kind of elastic datastore... not means otpimized me. in way modification done on left hand have reported on right hand , data returned elastic search may not in right format. can elastic search can directly search in database?

it's use neo4j graph database. did that? replace cypher queries?

thanks advices, helping me on realize on elastic search can helps on our project.

elasticsearch is database, it's not relational database may used to. nosql database.

you insert json documents index. query index find documents match particular criterion.

it sharded , node distributed, gives resilience , scalability, , - if set right - performance.

this means it's @ 'search engine' style database queries, because it's not relational, cannot equivalent of sql join operation easily.

one example use case logstash , kibana - known elk stack - system event logs (syslog, httpd logs, kind of thing) processed logstash parse metadata - log source, referrer, url, session id, etc. - , inserted elasticsearch.

as each event self contained piece of information, elasticsearch particularly well.

you can use kibana visualisation engine display logs, perform analysis - hit pages, geographic distribution of requests, incoming referrers, time based distribution of requests, etc.

but collates these logs, if run large, geographically distributed website multiple webserver nodes - or maybe have lot of servers in computer room , want summarise system logs - can feed whole lot elastic search.

it's design such it's @ handling near-real-time data insertion , analysis. works quite 'forum style' data models, you're doing querying list of posts particular forum name, , finding replies particular parent node - they're standalone 'documents'.

so yes, use search existing database, you'll have think data model - can't translate conventional relational model, have flatten it. denormalisation of sin in rdbms terms, it's quite search engines, because can execute queries in parallel more efficiently.