Elasticsearch

Elasticsearch

par Elastic

Qui utilise Elasticsearch ?

Outil de Big Data pour entreprises de toutes tailles qui offre des services d'automatisation, d'égalisation des données, de surveillance full-stack, de journalisation des audits, de filtrage IP, d'API REST, etc.

Description de Elasticsearch

Elasticsearch est un moteur distribué d'analytics et de recherche RESTful développé sur Apache Lucene qui permet de stocker des données et de les rechercher en temps quasi réel. Elasticsearch, Logstash, Kibana et Beats forment "Elastic Stack", développé par Elastic. Solution Elasticsearch (Elastic Cloud) également fournie.

Informations sur Elasticsearch

Elastic

https://www.elastic.co/

Fondé en 2012

Prix de Elasticsearch

Elasticsearch n'est pas disponible en version gratuite mais propose un essai gratuit.

Version gratuite

Non

Essai gratuit

Oui

Déploiement

Cloud, SaaS, web

Formation

Formation en ligne en direct

Webinaires

Documentation

Ressources d'aide

Service de support permanent (réponse directe)

Support en horaire de bureau

En ligne

Elasticsearch - Fonctionnalités

Analyse prédictive
Collaboration
Entreposage de données
Exploration de données (data mining)
Fusions de données
Modèles
Nettoyage de données
Sandbox sans code
Traitement des gros volumes
Visualisation de données
Affichage relationnel
Analytics et reporting
Découverte en images
Gestion de contenu
Modèles de simulation
Tableaux de bord personnalisés
Traitement analytique en ligne
Vues filtrées

Avis sur Elasticsearch

Afficher 5 avis sur 90

Note globale
4,6/5
Facilité d'utilisation
4/5
Service client
3,9/5
Fonctionnalités
4,5/5
Rapport qualité-prix
4,5/5
Adam victor B.
Software engineer
Logiciels, 501-1 000 employés
Temps d'utilisation du produit: plus d'un an
  • Note globale
    5/5
  • Facilité d'utilisation
    3/5
  • Fonctionnalités
    5/5
  • Support client
    5/5
  • Rapport qualité-prix
    5/5
  • Probabilité de recommander le produit
    9/10
  • Provenance de l'utilisateur 
  • Publié le 26/05/2019

"Best search engine on the market"

Commentaires: 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.

Avantages: 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.

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

  • Provenance de l'utilisateur 
  • Publié le 26/05/2019
Jim N.
Systems Administrator
Hôpitaux et soins de santé, 13-50 employés
Temps d'utilisation du produit: plus de deux ans
  • Note globale
    5/5
  • Facilité d'utilisation
    5/5
  • Fonctionnalités
    5/5
  • Support client
    3/5
  • Rapport qualité-prix
    5/5
  • Probabilité de recommander le produit
    10/10
  • Provenance de l'utilisateur 
  • Publié le 13/09/2019

"Scale, Features, Functionality."

Commentaires: 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.

Avantages: 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.

Inconvénients: 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.

  • Provenance de l'utilisateur 
  • Publié le 13/09/2019
Sanchit A.
Senior Software Engineer
Services financiers, 10 001+ employés
Temps d'utilisation du produit: 6 à 12 mois
  • Note globale
    5/5
  • Facilité d'utilisation
    4/5
  • Fonctionnalités
    4/5
  • Support client
    2/5
  • Rapport qualité-prix
    Sans note
  • Probabilité de recommander le produit
    8/10
  • Provenance de l'utilisateur 
  • Publié le 10/06/2020

"Highly recommended for search platforms"

Commentaires: 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.

Avantages: 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.

Inconvénients: 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.

  • Provenance de l'utilisateur 
  • Publié le 10/06/2020
Samson M.
Devops Engineer
Services et technologies de l'information, 51-200 employés
Temps d'utilisation du produit: 6 à 12 mois
  • Note globale
    3/5
  • Facilité d'utilisation
    3/5
  • Fonctionnalités
    3/5
  • Support client
    Sans note
  • Rapport qualité-prix
    Sans note
  • Probabilité de recommander le produit
    6/10
  • Provenance de l'utilisateur 
  • Publié le 24/04/2019

"Review for Elasticsearch"

Avantages: 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.

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

  • Provenance de l'utilisateur 
  • Publié le 24/04/2019
M. serhat D.
Senior Software Engineer
E-learning, 1 001-5 000 employés
Temps d'utilisation du produit: plus de deux ans
  • Note globale
    5/5
  • Facilité d'utilisation
    3/5
  • Fonctionnalités
    5/5
  • Support client
    Sans note
  • Rapport qualité-prix
    Sans note
  • Probabilité de recommander le produit
    7/10
  • Provenance de l'utilisateur 
  • Publié le 02/04/2020

"A complete stack for full text search"

Commentaires: 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.

Avantages: 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.

Inconvénients: 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.

  • Provenance de l'utilisateur 
  • Publié le 02/04/2020