Elasticsearch and Kibana support for your web applications and stores.
EXWE helps you tame the performance wonder for big data
Why Elasticsearch and web applications belong together?
|Faster search results for big data|
|Better search results even for complex content|
|Exciting insights via Kibana dashboards|
Passion for technical solutions that go beyond the standard
We help your users find what they're looking for. Elasticsearch is as complex as it is powerful. Everyone is familiar with Google's AutoComplete suggestions, but what seems completely intuitive to the user there is very difficult to teach to a machine. As a service provider with a focus on technical solutions, we love to dive into such complex technologies. From us you get consulting and development services, so that you can pass on the benefits of Elasticsearch to your users, but have no burden with the implementation. To the right, our services at a glance.
We help you to integrate Elasticsearch into your existing web application / online store.
If your normal database can no longer keep up with the search, the reason is often strongly grown data volumes. Elasticsearch was designed for huge amounts of data and provides a remedy.
Optimize search results
Even if you are already using Elasticsearch, it strongly depends on the right configuration. Our experts will optimize the configuration for you.
Aggregate data in Kibana dashboards
Elasticsearch can be used in conjunction with Kibana to aggregate existing data and visualize it in charts. We will put together a customized dashboard for you so that you always have the most important KPIs in view.
Solutions that are perfectly tailored to your requirements and industry. Our range of services is geared entirely to your company. This creates future-proof results that are convincing. The feedback, both positive and constructive, enables continuous progress and expands our wealth of experience. This is what our customers say about our cooperation:
"What I appreciate most about working with EXWE is their solution-oriented and pragmatic approach. Competence paired with a cool team makes EXWE a strong partner on our side."
"Our store integration worked out great. We set up a store based on Shopware with EXWE. The implementation and ongoing support are competent and very pragmatic at all times."
"Competent, creative, innovative, serious and fair... with EXWE we exceed our set goals again and again. An absolutely trusting partnership that we no longer want to miss."
"The development of our application took place iteratively. EXWE was also involved conceptually in the development process and thus contributed significantly to the success of the final product. We very rarely experience this at this level with IT service providers. We recommend EXWE with a clear conscience!"
Excellent Elasticsearch implementations by the web development professionals from Dortmund and Düsseldorf
As experts in the implementation of software solutions for online stores, we have accumulated over the years a broad expertise in the integration and optimization of Elasticsearch. Our technical expertise allows us to go one step further for our customers than is possible with many classic web agencies, where this know-how is often lacking.
Elasticsearch requires a high initial configuration and ongoing optimization effort, because this is the only way to guarantee that users have a consistently good user experience. We provide comprehensive support for your Elasticsearch setup and ensure optimal control. We take care of the implementation, testing and ongoing optimization, and analyze the digital growth potential for you.
EXWE emphasizes close and regular cooperation with our customers, because no one knows your business better than you do. During joint performance calls, we review KPIs and share our knowledge and potential. We are happy to test new products and entire product categories as well as betas with you, so that we can shape the market together with you.
With competence and passion we cover all kinds of tasks in the area of Elasticsearch: integration of Elasticsearch into existing software applications, configuration and optimization of index mappings / analyzers as well as the corresponding queries with the Query DSL, creation and configuration of Kibana dashboards.
What does Elasticsearch actually do?
A short FAQ about Elasticsearch and what it entails.
What is Elasticsearch?
Elasticsearch is a search and analysis engine based on the Apache Lucene library. It allows users to search, analyze, and visualize large amounts of unstructured data in real time. Elasticsearch can be used to collect and index data from a variety of sources, such as log files, documents, and social media, and it allows users to submit natural language search queries. Some of Elasticsearch's key features include support for multilingual search, full-text search, geographic search, and the ability to achieve custom scalability and availability. Elasticsearch is typically used as part of an ELK stack, along with Logstash and Kibana.
What is Kibana?
Kibana is an open source analytics and visualization platform built on top of Elasticsearch. It allows users to explore and visualize large volumes of unstructured data indexed in Elasticsearch. Kibana is typically part of an ELK stack (Elasticsearch, Logstash, Kibana) and allows users to collect, index and visualize data from a variety of sources, making it a valuable tool for data analysis and processing.
What are Kibana Dashboards?
Kibana Dashboards are visual representations of data that has been indexed in Elasticsearch. They allow users to display data in a simple and intuitive way using charts, tables, maps, and other types of visual elements. With Kibana Dashboards, users can filter, group, and aggregate data by various dimensions to see trends and relationships in their data. In summary, Kibana Dashboards allow users to visualize, explore and analyze their data in real time to identify trends, relationships and patterns in their data.
What is open source?
Open source refers to software whose source code is accessible and modifiable by anyone. This is in contrast to closed or proprietary software, whose source code is not available and can only be modified by the company or individual who developed it. The open source approach allows a broad community of developers to improve the software, fix bugs, and add new features. This often results in open source software being improved faster and better than closed software.
What is Logstash?
Logstash is an open-source data ingestion tool used to collect, process, and route data from a variety of sources to various destinations. It can be used to extract, transform and index data from log files, databases, social media and other sources into a target such as Elasticsearch. Logstash has a variety of plug-ins that allow it to collect data from different sources and route it to different destinations. For example, Logstash can be used to extract data from syslog files and index it into Elasticsearch, or to query data from a MySQL database and write it to a CSV file.
What is a database?
A database is a collection of data structured and organized in a specific way to facilitate data storage, management, and retrieval. Databases are used to store, organize, and query large amounts of data in a simple and efficient manner. There are several types of databases, such as relational databases, document databases, graph-based databases, and key-value databases. Each type of database has its own strengths and weaknesses and is best suited for specific use cases.
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