Informazioni su Elasticsearch

Soluzione basata su SaaS che supporta la visualizzazione dei dati attraverso presentazioni live, indicatori di prestazioni chiave (KPI), mappe di calore, grafici waffle e altro ancora.

Ulteriori informazioni su Elasticsearch

Aspetti positivi:

It's simply the industry standard for search. The extensive functionalities make complex problems look easy.

Aspetti negativi:

We sometimes have problems during the integration of Kibana. But we couldn't figure out why.

Valutazioni di Elasticsearch

Punteggio medio

Facilità d'uso
4,0
Servizio clienti
4,0
Caratteristiche
4,5
Rapporto qualità-prezzo
4,5

Lo consiglieresti?

8,7/10

Elasticsearch ha una valutazione complessiva di 4.6 stelle su 5, calcolata sulla base di 103 recensioni degli utenti di Capterra.

Filtra le recensioni (103)

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Adam victor B.
Adam victor B.
Software engineer (Brasile)
Utente LinkedIn Verificato
Software informatici, 501-1.000 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Best search engine on the market

5 3 anni fa

Commenti: 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.

Aspetti positivi:

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.

Aspetti negativi:

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

Jim N.
Systems Administrator (USA)
Ospedali e sistemi sanitari, 11-50 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Scale, Features, Functionality.

5 2 anni fa

Commenti: 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.

Aspetti positivi:

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.

Aspetti negativi:

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.

Sreehari D.
software engineer (USA)
Servizi e tecnologie dell'informazione, 201-500 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Decent Data store but lot of scalable issues

3 anno scorso

Aspetti positivi:

Its decent search to NOSQL DB and I find it good for content management

Aspetti negativi:

it has scalable and reliability issues. I would not recommend this for your SOR

Utente Verificato
IT Manager (Cambogia)
Utente LinkedIn Verificato
Gestione di organizzazioni non profit, 501-1.000 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Elasticsearch super fast search billion log file in a second

5 3 mesi fa

Commenti: before we use syslog with mysql, when mysql reach space to 500GB we can not search faster, we need to delete. but since we use graylog enterprise and also elastiflow to monitor the real time traffic we save alot of time, we can querry million message in a few second only, and space of data are up to 1TB can still search faster.

Aspetti positivi:

well, i have been using elasticsearch more than 3 years already with the graylog, and also with elastiflow too, its very fast, i can search 20 million message in afews second only. i would say very very powerful. I love the real-time data processing that elastic produce to view the dashboard is so powerful and flexible. I recommend if you are using enterprise log system, please use with elasticsearch save your time.

Aspetti negativi:

well, it working well already. but it a bit complicate if someone just new to elasticsearch.

Utente Verificato
Full Stack Developer (India)
Utente LinkedIn Verificato
Software informatici, 51-200 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Blazing fast in searching through a lot of data!

5 12 mesi fa

Commenti: I am extremely satisfied with Elasticsearch, its speed & querying capabilities among lots of data amaze me!

Aspetti positivi:

The fact that Elasticsearch offers really efficient & quick querying of data without a compromise on the different range of queries it can support is really awesome, also Elasticsearch can rank matching documents based on matching criteria which is also very useful. Elasticsearch also handles distributed queries very efficiently.

Aspetti negativi:

Reindexing documents can be a real pain if there is a major change in the schema, otherwise no complaints.

Dilraj S.
Dilraj S.
Sr. Software Developer (India)
Utente LinkedIn Verificato
Software informatici, 501-1.000 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Great solution for implementing searching over vast amount of data!!

5 2 anni fa

Commenti: 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.

Aspetti positivi:

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.

Aspetti negativi:

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.

Andrew W.
Manager, Process and Tool Development (Canada)
Servizi e tecnologie dell'informazione, 11-50 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Elastic - Very fast moving company and product

4 4 mesi fa

Aspetti positivi:

Elasticsearch has turned into a solution that you'd typically integrate into another to a fully customizable standalone solution. It has everything in one spot now, with hardly a need to use 3rd party plugins/extensions.

Aspetti negativi:

The licensing models are very confusing. There is a big push to get on their hosted SaaS offering but that itself is also not very clear.

Matthew N.
Matthew N.
Technical Lead (USA)
Utente LinkedIn Verificato
Servizi e tecnologie dell'informazione, 2-10 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Superb search, logging, and analytics platform

5 9 mesi fa

Commenti: Searching a database of parameterized data to provide results to buyers. Ingesting millions of product updates on a daily basis from dozens of distributors. Logging and analyzing user activity for business metrics, system performance, and security. Elasticsearch has been a vital tool for all these use cases.

Aspetti positivi:

Search functionality is our basic need, and Elasticsearch nails it - scalable, fast, efficient. It is also good at logging, aggregation, and analytics when used in combination with the rest of the Elastic stack.

Aspetti negativi:

It's complex and can be a challenge to dial in performance unless you have a really vanilla use case. Docs are light on details and examples, so there is a fair amount of trial and error.

Deniz Ç.
Deniz Ç.
Software Developer (Turchia)
Utente LinkedIn Verificato
Proprietà immobiliari, 201-500 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

One of the Best No sql Document Base Database

5 9 mesi fa

Commenti: In our projects, we use elasticsearch in database queries that need fast answers. It is especially useful for search and autocomplete operations.

Aspetti positivi:

When you want to run queries in big data and get results, you can get results much faster from relational databases. Queries are also easy to create

Aspetti negativi:

We sometimes have problems during the integration of Kibana. But we couldn't figure out why Other than that, I didn't have any problems

Dewmi R.
Dewmi R.
Senior Business Analyst Engineer (Sri Lanka)
Utente LinkedIn Verificato
Telecomunicazioni, 1.001-5.000 dipendenti
Ha utilizzato il software per: 6-12 mesi
Fonte della recensione

One of the best data indexing software to look for

4 7 mesi fa

Commenti: Very positive experience. Easy to learn and use. Highly recommended.

Aspetti positivi:

I have used Elasticsearch for one of the research projects - Visual Search and Autonomous Linkage Tool which would enable Autonomous Data Processing and to improve Big Data Analysis and Reporting, in my previous work place. It served the best in driving the product to it's success with it's great capability and accuracy of indexing data.

Aspetti negativi:

No much negative experience to highlight but sometimes have to deep dive into documentation to learn about more features and their functionality.

Utente Verificato
Software Engineer (Sri Lanka)
Utente LinkedIn Verificato
Software informatici, 11-50 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Best way to process application log data

5 anno scorso

Commenti: We had lots of network-related log files with millions of records to be processed and identify errors, user activity, and many other pieces of information. If we didn't have Elasticsearch its a nightmare to process those. With the help of Elasticsearch, we were able to process those and even visualize them with nice graphs and charts. ultimately we were able to build an automated alerting system when there is an error or unusual user activity in the network system.

Aspetti positivi:

It's really easy to set up and there are not many configurations need to get started with. It comes with other supporting tools such as Filebeats to collect the logs from the files, Logstash to ship data to Elasticsearch, and Kibana to visualize the data. It processes millions of data within seconds. Elasticsearch can be clustered with multiple nodes and it guarantees higher data availability. Elasticsearch has lots of proper documentation and community support. It's easy to integrate with programming languages such as Java

Aspetti negativi:

Elasticsearch doesn't provide backward version compatibility. We have to use the same version of Elasticsearch, Logstash, and Kibana. Data is getting saved as files inside Elasticsearch and those can get deleted. There is no easy way to edit the data.

M. serhat D.
Senior Software Engineer (Germania)
E-learning, 1.001-5.000 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

A complete stack for full text search

5 2 anni fa

Commenti: 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.

Aspetti positivi:

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.

Aspetti negativi:

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.

Filip T.
Filip T.
Software Engineer (Polonia)
Utente LinkedIn Verificato
Software informatici, 2-10 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Essential tool for all my devops needs

5 3 anni fa

Aspetti positivi:

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.

Aspetti negativi:

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.

Utente Verificato
Senior Software Developer (USA)
Utente LinkedIn Verificato
Industria alberghiera, 201-500 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Elasticsearch is a general purpose search engine that can do much more than search

4 3 anni fa

Commenti: 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.

Aspetti positivi:

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.

Aspetti negativi:

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.

Onur E.
System Administrator (Turchia)
Servizi e tecnologie dell'informazione, 1.001-5.000 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Working On Big Data Is Now More Comfortable

5 2 anni fa

Commenti: Our company uses elasticsearch to analyze data in very large data. Successful indexing is designed in a cluster (node) structure, which has made our work much easier. Thanks to this search engine, we can reach the desired analysis results in the data. It is a blessing for our sector employees to have a free application running in this performance.

Aspetti positivi:

Flexibility and high performance are the most loved features for us. The fact that we are not using it very effectively is also a ramen of suggestions and guidance.

Aspetti negativi:

The only feature I don't like is that it is Java based.

Utente Verificato
Sr. System/Network administrator (Paesi Bassi)
Utente LinkedIn Verificato
Software informatici, 51-200 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Great for indexing a large amount of data

4 3 anni fa

Commenti: We're ElasticSearch mainly to index large amount of logs from several servers. Its makes it very easy for us to index and search logs. Logstash sends the logs and with Kibana we access to logs and create nice dashboards. But, you have to manage your indexes. For our log an index is created every day which we reindex monthly to a new index, then we do a forcemerge and after that we delete the daily indexes. This keeps the number of shards low. If we don't do this we run into problems because if to many shards. But, you can schedule this via curl and with every new version of Kibana/ElasticSearch you can do more and more via the GUI. For us this is the number one tool to index and search gigabytes of logs on a daily base and we're able to keep months of logs and still be able to search through it.

Aspetti positivi:

Indexing large amount of data Searching data Very scalable Creating a cluster is very easy Ability to send commands via CURL to the API Creating snapshots of your data

Aspetti negativi:

Managing indexes can be a bit of a pain Sometimes issues with indexes becoming read only

Utente Verificato
Software Engineer (India)
Utente LinkedIn Verificato
Proprietà immobiliari, 11-50 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

One stop solution for all the heavy search operations across huge set of data

5 3 anni fa

Commenti: It's been great!

Aspetti positivi:

As a backend developer, I know for a fact that I can rely upon elasticsearch for all the times when I have to support search based on string across the database. You throw some set of documents to elasticseatch, and you are good to go to search anything amongst the provided documents. They have some supercool features to support string based search for say support for distributed systems, support for aggregations and analysers & folding, etc. The documentation out there makes it lot easier to get going with it :)

Aspetti negativi:

The memory optimisation related issues could be alarming sometimes if not taken care of properly. You may end up having some weird system crashes.

Gedson S.
Gedson S.
Senior Production Engineer ()
Utente LinkedIn Verificato
Telecomunicazioni, 11-50 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

The perfect searching allied to a RDB

4 3 anni fa

Commenti: We've been pairing Elasticsearch with a traditional RDB in many projects with great results. This way we don't compromise our data reliability and searching speed is blazing fast.

Aspetti positivi:

Searching is where elasticsearch is second to none, either in terms, n-grams or full-text. Latest releases have greatly improved the aggregation performance, so it's also a great fit for analytics workloads. The customizable sharding and replica configurations make is very reliable too.

Aspetti negativi:

Searching and joining different documents has room for improvement, it's usualy not as fast as we would like it to be, so most of the times we end up un-normalizing documents and en-richening their data to boost searching performance.

Sanchit A.
Senior Software Engineer (USA)
Servizi finanziari, 10.000+ dipendenti
Ha utilizzato il software per: 6-12 mesi
Fonte della recensione

Highly recommended for search platforms

5 2 anni fa

Commenti: 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.

Aspetti positivi:

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.

Aspetti negativi:

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.

Miguel H.
Senior Software Developer (USA)
Difesa e industria spaziale, 11-50 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Elasticsearch Makes Big Data Possible

5 3 anni fa

Commenti: We've dramatically improved the stability of our big data analytics compared to any other data store we've used.

Aspetti positivi:

Elasticsearch is the single most valuable tool I have come across in my career for solving big data problems. No other datastore scales as well and as easily as ES. The premium features that come with a license are extremely powerful and definitely make a case for upgrading beyond just the need for support like most database solutions.

Aspetti negativi:

Elasticsearch definitely has a significant learning curve for developers and administrators experienced with a more relational database solution. However with some time and with the aid of the fantastic UI Kibana these hurdles are small in comparison to the power you can reap.

Stanislav K.
Dev (Ucraina)
Industria alberghiera, 51-200 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Industry standard for search

5 anno scorso

Commenti: As a developer, was using it for quite a lot of time for different projects and would say it is almost impossible to find an alternative for this product due to the fact it is the best product in the segment.

Aspetti positivi:

- the overall performance is great, easily handles big amount of data and provides near instant response times; - fail tolerance and high availability features out from the box; - open-source; - elk stack is mostly the best tool to analyze the logs of your applications;

Aspetti negativi:

- could be hard to setup / maintain even for technical people, so probably you will need to use some services which provide support and better analytics - migration between versions could require some additional efforts due breaking changes

Ramakrishna G.
Lead (India)
Sviluppo di programmi, 201-500 dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Elastic Search is built on top of Lucene, it provides the most powerful full-text search capability

4 4 anni fa

Aspetti positivi:

Easier to horizontally scale Distributed by design Excellent full-text search Elastic Search is schema free'instead, it accepts JSON documents, as well as tries to detect the data structure, index the data, and make it searchable. Elastic Search is document-oriented. It stores real world complex entities as structured JSON documents and indexes all fields by default, with a higher performance result. Elastic Search is API driven; actions can be performed using a simple Restful API. Elastic Search records any changes made in transactions logs on multiple nodes in the cluster to minimize the chance of data loss.

Aspetti negativi:

Elastic-search query DSL is less common and less flexible than Postgres SQL . Everything is indexed by default, which creates an index overhead. in order to understand how to properly query your data and how it is stored, you have less control over consistency.

Zack K.
Director (USA)
Software informatici, 201-500 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Best open source search engine, offers fast and speedy search

4 9 mesi fa

Commenti: Elasticsearch is an essential part of the our operations architecture.

Aspetti positivi:

Adding elasticsearch to most projects is a great way to have high performant full text or json document search. The common use case is for searching through log files (ELK or EFK stack) which is now the canonical way to handle logging for most distributed systems such as Kubernetes. Installing elasticsearch is not trivial but has been made much simpler in recent years due to being able to run ES in containers (i.e. helm charts). We use ES to accelerate general search, as well as being a core component in our logging stack.

Aspetti negativi:

There are many different configuration options available so there is still some ramp time required. There's also the issue of Elastic changing the licensing from Apache 2.0 to SSPL and Elastic. While this is probably not unexpected due to Amazon's predatory behavior when it comes to OSS and AWS, it doesn't help customers and the community to have two different projects.

Utente Verificato
AWS Developer( works for Coca-cola Company) (USA)
Utente LinkedIn Verificato
Servizi ai consumatori, 10.000+ dipendenti
Ha utilizzato il software per: Più di 2 anni
Fonte della recensione

Distributed Search and analytics engine available in cloud

5 2 anni fa

Commenti: Best search and analytics software available in cloud, flexible to use and available free trial to evaluate it.

Aspetti positivi:

This is best search software for data searching and analytics on stream data in cloud. It is so flexible complex keyword searches and very efficient. Great tool for analyzing logs very powerful. 24/7 customer support.

Aspetti negativi:

Not really a negative side but if you have low bandwidth web interface will become very slow.And think learning manual still needs some improvement.

Utente Verificato
Backend Developer (UK)
Utente LinkedIn Verificato
Software informatici, 501-1.000 dipendenti
Ha utilizzato il software per: Più di 1 anno
Fonte della recensione

Using ELK stack for monitoring and logging

5 3 anni fa

Commenti: It has been really good. We only have JSON data and we stream it to the elastic search. We can search and index data as we need and it is really bast and performant.

Aspetti positivi:

This is the most awesome software stack for data analysis and searching. We stream data to the elastic search and index it so we can search it and analyse what we receive on the fly. It does the job extremely well. On top of that, the software comes as a managed service on cloud providers which means it comes with almost no maintenance overhead.

Aspetti negativi:

Nothing really comes to mind. The only thing is Json is mandatory data format unlike the Apache Solr which is a competitor.