Antwort Is Elasticsearch still relevant? Weitere Antworten – What companies use elasticsearch
List of companies using Elasticsearch
Company | Country | Industry |
---|---|---|
IBM ibm.com | United States | Information Technology & Services |
Peraton peraton.com | United States | Information Technology & Services |
Palo Alto Networks paloaltonetworks.com | United States | Computer & Network Security |
EY ey.com | United Kingdom | Professional Training & Coaching |
Elasticsearch provides a RESTful JSON-based API for interacting with document data. You can index, search, update, and delete documents by sending HTTP requests to the appropriate cluster endpoints. These CRUD-like operations can take place at an individual document level or at the index level itself.Our products can be used at no cost. Our users can get started — or even build an entire solution — without ever having to pay for anything.
What does elastic do : Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.
Does NASA use Elasticsearch
n8n lets you integrate Elasticsearch with NASA to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services.
Why not to use Elasticsearch : Don't use Elasticsearch or use it with caution if: You are looking for catering to transaction handling. You are planning to do a highly intensive computational job in the data store layer. You are looking to use this as a primary data store.
Data Model: Elasticsearch is built for full-text search and analytics use cases, while MongoDB is built for flexible data modelling and real-time data access. Querying: Elasticsearch provides a powerful search engine that can be used to perform complex searches on large volumes of data.
As we saw earlier, achieving this level of relevancy with Elastic required adjusting several search parameters. So, just because you can do anything with Elasticsearch, doesn't mean you should. In many cases, Elasticsearch might just be overkill.
What is better than Elasticsearch
Solr (also known as Apache Solr) is a versatile Elasticsearch alternative built on the Apache Lucene platform that provides indexing, replication, and querying. Optimized for high-volume traffic, Solr comes complete with full-text search capabilities, a responsive administrative interface, and near real-time indexing.You want Elasticsearch when you're doing a lot of text search, where traditional RDBMS databases are not performing really well (poor configuration, acts as a black-box, poor performance). Elasticsearch is highly customizable, extendable through plugins. You can build a robust search without much knowledge quite fast.Overall, the choice between Splunk and Elastic/ELK depends on the specific needs of your organization and the resources available to you. If you need a robust and user-friendly solution that can handle a wide range of log management and analysis tasks, Splunk may be the better option.
Data Model: Elasticsearch is built for full-text search and analytics use cases, while MongoDB is built for flexible data modelling and real-time data access.
Is MongoDB better than Elasticsearch : Real-time Processing: Elasticsearch is better suited for real-time processing and analysis of data, whereas MongoDB is preferred for robust data storage and retrieval in various application types.
Can MongoDB replace Elasticsearch : Both options offer good solutions to common pain points associated with MySQL, but Elasticsearch and MongoDB are also fundamentally different. Ultimately, MongoDB is a NoSQL database system, and Elasticsearch is a search engine. While there's an overlap in the services they provide, one doesn't replace the other.
When should you not use Elasticsearch
Strict Transactional Use-Cases
Don't use Elasticsearch as your only datastore when there are strict transactional requirements, and Optimistic Concurrency isn't Appropriate.
Splunk is a proprietary tool that is generally considered to be more user-friendly and easier to get started with than the Elastic stack. It is geared towards enterprise customers so it has a broader range of features and functionality, including support for machine learning and other advanced analytics capabilities.Scalability and Performance: Elasticsearch offers superior performance in search-related operations, while MongoDB provides more efficient scalability for large and complex data sets.
Should I use Elasticsearch as a database : Elasticsearch works great when queried for aggregations over data, or small results set based on various sort orders (with the most popular one – document rankings). It is less suitable for operations requiring frequent access to the entire dataset, or very large results sets (let's say over 100-200 results per query).