par Elastic4.6 / 5 81 avis Écrivez votre avis !
Pour qui ?
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.
Notes moyennes81 avis
- Note globale 4.6 / 5
- Facilité d'utilisation 4 / 5
- Service client 3.9 / 5
- Fonctionnalités 4.6 / 5
- Rapport qualité-prix 4.5 / 5
Informations sur le produit
- Version gratuite Non
- Essai gratuit Oui
Cloud, SaaS, web
Formation en ligne en direct
Service de support permanent (réponse directe)
Support en horaire de bureau
Informations sur l'éditeur
- Fondé en 2012
En savoir plus sur 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.
Elasticsearch - Fonctionnalités
- Analyse prédictive
- Entreposage de données
- Exploration de données (data mining)
- Fusions de données
- Nettoyage de données
- Sandbox sans code
- Traitement des gros volumes
- Visualisation de données
- Affichage relationnel
- Découverte en images
- Gestion de contenu
- Modèles de simulation
- Tableaux de bord personnalisés
- Traitement analytique en ligne
- Vues filtrées
Avis les plus utiles sur Elasticsearch
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.
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.
Publié le 16/11/2019
Great solution for implementing searching over vast amount of data!!
Commentaires: 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.
Avantages: 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.
Inconvénients: 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.
Publié le 26/05/2019
Best search engine on the market
Adam victor B.
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.
Publié le 05/09/2018
Essential tool for all my devops needs
Avantages: I've been using Elasticsearch since early days, with very different things in mind. I started with simple text search - with some additional tweaks, stemming and other cool features it helped us drive enormous traffic to our website. I can't imaging pulling it off so easily with any other tool. Every day I use it for web server log analytics. Search and great visualizations make it an absolute essential in work my toolset. We also run a lot of algorithm analytics on top of our Elasticsearch cluster. If you're looking for managed options check AWS Elasticsearch Service, or the recently introduced Elastic Cloud.
Inconvénients: My only concern with Elasticsearch is that it might get expensive to run pretty quickly. But with a certain amount of effort put into optimization it's gonna be worth it.
Publié le 11/01/2019
Elasticsearch is a general purpose search engine that can do much more than search
Commentaires: We use Elasticsearch to filter and sort search results in our marketplace. We've built out many complicated queries that allow us to do interesting things like geo-based queries, personalization, and time boxed deals.
Avantages: Elasticsearch offers a very flexible system for adding search capability to your systems. It is also capable of much more. The REST API and great documentation makes getting started very simple. Elasticsearch was also designed with scaling in mind. Adding nodes and self balancing is quite easy. AWS offers hosted Elasticsearch that makes spinning up your first cluster as simple as a few clicks.
Inconvénients: Writing complicated queries can be quite tedious at times. The JSON interface is not always easy to read when trying to match up parentheses. Upgrading from older versions is not a simple process.