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Über Elasticsearch

SaaS-basierte Lösung zur Unterstützung der Datenvisualisierung durch Live-Präsentationen, KPIs, Heatmaps, Waffeldiagramme und mehr.

Erfahre mehr über Elasticsearch

Zeigt 103 Bewertungen

Adam victor B.
Adam victor B.
Software engineer in Brasilien
Verifizierter Nutzer auf LinkedIn
Computer-Software, 501-1.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Best search engine on the market

5 vor 3 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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

Jim N.
Systems Administrator in USA
Krankenhausversorgung & Gesundheitswesen, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Scale, Features, Functionality.

5 vor 2 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
IT Manager in Kambodscha
Verifizierter Nutzer auf LinkedIn
Non-Profit-Organisation Management, 501-1.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Elasticsearch super fast search billion log file in a second

5 vor 2 Monaten Neu

Kommentare: 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.

Vorteile:

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.

Nachteile:

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

Sreehari D.
software engineer in USA
Informationstechnologie & -dienste, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Decent Data store but lot of scalable issues

3 letztes Jahr

Vorteile:

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

Nachteile:

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

Andrew W.
Manager, Process and Tool Development in Kanada
Informationstechnologie & -dienste, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Elastic - Very fast moving company and product

4 vor 3 Monaten

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Full Stack Developer in Indien
Verifizierter Nutzer auf LinkedIn
Computer-Software, 51-200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Blazing fast in searching through a lot of data!

5 vor 10 Monaten

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

Vorteile:

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.

Nachteile:

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 in Indien
Verifizierter Nutzer auf LinkedIn
Computer-Software, 501-1.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

5 vor 2 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Matthew N.
Matthew N.
Technical Lead in USA
Verifizierter Nutzer auf LinkedIn
Informationstechnologie & -dienste, 2-10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Superb search, logging, and analytics platform

5 vor 8 Monaten

Kommentare: 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.

Vorteile:

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.

Nachteile:

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 in Türkei
Verifizierter Nutzer auf LinkedIn
Immobilien, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

One of the Best No sql Document Base Database

5 vor 7 Monaten

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

Vorteile:

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

Nachteile:

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 in Sri Lanka
Verifizierter Nutzer auf LinkedIn
Telekommunikation, 1.001-5.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

One of the best data indexing software to look for

4 vor 6 Monaten

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

Vorteile:

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.

Nachteile:

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

Verifizierter Rezensent
Software Engineer in Sri Lanka
Verifizierter Nutzer auf LinkedIn
Computer-Software, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Best way to process application log data

5 letztes Jahr

Kommentare: 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.

Vorteile:

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

Nachteile:

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 in Deutschland
E-Learning, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

A complete stack for full text search

5 vor 2 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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 in Polen
Verifizierter Nutzer auf LinkedIn
Computer-Software, 2-10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Essential tool for all my devops needs

5 vor 3 Jahren

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.

Onur E.
System Administrator in Türkei
Informationstechnologie & -dienste, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Working On Big Data Is Now More Comfortable

5 vor 2 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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

Verifizierter Rezensent
Senior Software Developer in USA
Verifizierter Nutzer auf LinkedIn
Gastgewerbe, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

4 vor 3 Jahren

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.

Verifizierter Rezensent
Sr. System/Network administrator in Niederlande
Verifizierter Nutzer auf LinkedIn
Computer-Software, 51-200 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Great for indexing a large amount of data

4 vor 3 Jahren

Kommentare: 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.

Vorteile:

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

Nachteile:

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

Verifizierter Rezensent
Software Engineer in Indien
Verifizierter Nutzer auf LinkedIn
Immobilien, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

5 vor 2 Jahren

Kommentare: It's been great!

Vorteile:

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 :)

Nachteile:

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 in
Verifizierter Nutzer auf LinkedIn
Telekommunikation, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

The perfect searching allied to a RDB

4 vor 3 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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 in USA
Finanzdienstleistungen, 10.000+ Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Highly recommended for search platforms

5 letztes Jahr

Kommentare: 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.

Vorteile:

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.

Nachteile:

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 in USA
Verteidigung & Raumfahrt, 11-50 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Elasticsearch Makes Big Data Possible

5 vor 3 Jahren

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

Vorteile:

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.

Nachteile:

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 in Ukraine
Gastgewerbe, 51-200 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Industry standard for search

5 letztes Jahr

Kommentare: 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.

Vorteile:

- 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;

Nachteile:

- 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 in Indien
Programmentwicklung, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

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

4 vor 4 Jahren

Vorteile:

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.

Nachteile:

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 in USA
Computer-Software, 201-500 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Best open source search engine, offers fast and speedy search

4 vor 8 Monaten

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

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
AWS Developer( works for Coca-cola Company) in USA
Verifizierter Nutzer auf LinkedIn
Verbraucherdienste, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Distributed Search and analytics engine available in cloud

5 letztes Jahr

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

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Backend Developer in UK
Verifizierter Nutzer auf LinkedIn
Computer-Software, 501-1.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Using ELK stack for monitoring and logging

5 vor 2 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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