Durchschnittliche Bewertung65 Bewertungen
- Gesamt 4.5 / 5
- Benutzerfreundlichkeit 4 / 5
- Kundenservice 4 / 5
- Funktionen 4.5 / 5
- Preis-Leistungs-Verhältnis 4.5 / 5
- Kostenlose Version Nein
- Kostenlose Testversion Ja
Cloud, SaaS, Web
24/7 (Live Vertreter)
Support während der Geschäftszeiten
Angaben zum Hersteller
- Gegründet 2012
Elasticsearch is a distributed, RESTful search and analytics engine based on Apache Lucene, capable of storing data, and search it in near real time. Elasticsearch, Logstash, Kibana and Beats make up the "Elastic Stack" developed by Elastic. Hosted Elasticsearch (Elastic Cloud) is also provided.
- Codefreie Sandbox
- Data Mining
- Data Warehousing (Datenlager)
- Daten mischen
- Prädiktive Analytik
- Verarbeitung von hohen Volumen
- Gefilterte Ansichten
- Relationales Display
- Visuelle Entdeckung
Die hilfreichsten Reviews für Elasticsearch
Bewertet am 5.9.2018
Essential tool for all my devops needs
Vorteile: 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.
Nachteile: 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.
Bewertet am 11.1.2019
Elasticsearch is a general purpose search engine that can do much more than search
Kommentare: 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.
Vorteile: 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.
Nachteile: 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.