Elasticsearch
Motor de căutare și analiză puternic care indexează date în timp real, oferind rezultate rapide și relevante pe diverse tipuri și surse de date.
Mnenja in ocene Elasticsearch
Zbrali smo vse podatke, da vam tega ni treba, zaradi česar so odločitve preproste in vam prihranijo čas in denar.
ROI
Produktivnost
Vrednost za denar
Enostavnost uporabe
Podpora
Uporaba glede na velikost podjetja
Kategorije - 6
Platforme de gestionare a datelor Enterprise Search Motoare Insight IoT Analytics Analiza jurnalului SIEM Funkcije - 60
Poiščite funkcije, ki so ključne za sprejemanje odločitev
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Elasticsearch cenovni načrti
Ugotovite, kateri cenovni načrt vam najbolj ustreza.
Free
Free plan for small use cases
Silver
Ideal for small to medium-sized projects
$10
Gold
Suitable for large projects and teams
$50
Platinum
Designed for enterprise-scale applications
$100
Ocene izdelkov Elasticsearch
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Kaj preverjene ocene od pričakujejo o
Elasticsearch
Vpogled strokovnjakov na tem področju o Elasticsearch iz prve roke.
Elasticsearch je najbolj primeren za te vrhunske industrije
Alternative za Elasticsearch, ki bi jih lahko upoštevali in primerjali
To so alternative, med katerimi lahko izbirate in jih primerjate, da se najbolje uskladijo z vašimi interesi in strokovnim področjem.
Ljudje Elasticsearch primerjajo tudi z...
Elasticsearch vs Google Cloud Platform Elasticsearch vs Datadog Cloud Monitoring Elasticsearch vs Splunk Elasticsearch vs Site24x7 Elasticsearch vs JumpCloud DaaS Elasticsearch vs New Relic Elasticsearch vs Google Analytics Elasticsearch vs Salesforce Marketing Cloud Elasticsearch vs M Files Elasticsearch vs Backblaze for Business Elasticsearch vs PRTG Network Monitor Elasticsearch vs LogicMonitor Elasticsearch vs SISMETRO Maintenance Management CMMS Elasticsearch vs ManageEngine Firewall Analyzer Elasticsearch vs Hevo Elasticsearch vs ContentKing Elasticsearch vs Bloomreach Elasticsearch vs Keepit Elasticsearch vs Bloomfire Elasticsearch vs Algolia Search Elasticsearch vs AppDynamics Elasticsearch vs Yext Elasticsearch vs IBM QRadar SIEM Elasticsearch vs B Line Elasticsearch vs XProtect Essential Elasticsearch vs Swiftype Elasticsearch vs Luigi s Box Elasticsearch vs Guru Elasticsearch vs Redis Enterprise Elasticsearch vs Lookout Elasticsearch vs Grepsr Elasticsearch vs Sematext Cloud Elasticsearch vs ServiceNow Customer Service Management Elasticsearch vs Logz io Elasticsearch vs Graylog Elasticsearch vs LogDNA Elasticsearch vs Pingdom Elasticsearch vs FourJaw Elasticsearch vs Veeam Availability Suite Elasticsearch vs Sumo Logic Elasticsearch vs Scaleway Elasticsearch vs Google Cloud IoT Elasticsearch vs Alfresco One Elasticsearch vs ModuleQ Elasticsearch vs FullStory Elasticsearch vs SAP Analytics Cloud Elasticsearch vs Cohesity Elasticsearch vs LogicalDOC Pogosta vprašanja o Elasticsearch
Poiščite odgovore na najustreznejše poizvedbe, da se boste lahko takoj odločili.
What is Elasticsearch?
Elasticsearch is a search and analytics engine that allows you to store, search, and analyze large volumes of data.
How does Elasticsearch work?
Elasticsearch uses a distributed architecture to store and index data, which can then be searched using RESTful APIs or through a web interface called Kibana.
What is the difference between Elasticsearch and Solr?
While both Elasticsearch and Solr are search engines, Elasticsearch provides more advanced features such as data analytics, visualization, and machine learning capabilities.
Is Elasticsearch open source?
Yes, Elasticsearch is open-source software under the Apache 2.0 license.
What are the system requirements for running Elasticsearch?
Elasticsearch can run on a variety of hardware platforms and operating systems, including Linux, Windows, and macOS.
How do I index data in Elasticsearch?
You can index data in Elasticsearch using the Elasticsearch REST API or through Kibana. You'll also need to create an index template and mapping for your data type.
Can I use Elasticsearch with other technologies like Kafka, Logstash, and Beats?
Yes, Elasticsearch can be used in conjunction with Apache Kafka, Logstash, and Beats (Elastic's ELK Stack) to collect and process large volumes of log data.
How do I query Elasticsearch?
You can query Elasticsearch using a variety of APIs, including the Elasticsearch REST API, Kibana, and other client libraries like Python, Java, or .NET.
What are some common use cases for Elasticsearch?
Elasticsearch is commonly used in search-based applications (e.g., e-commerce websites), analytics platforms (e.g., clickstream analysis), logging and monitoring systems (e.g., Apache Kafka, Beats).
Pozdravljeni, kaj potrebujete?
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