What is Elasticsearch and how does it work?

Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It enables the storage, searching, and analysis of large volumes of structured and unstructured data in real time. Elasticsearch uses a distributed approach to ensure high availability and scalability. It also leverages full-text search to deliver fast and relevant search results.

What is Elastic Cloud and what advantages does it offer?

Elastic Cloud is a hosted Elasticsearch service provided by Elastic. It enables companies to run Elasticsearch clusters in the cloud without having to worry about complex infrastructure and maintenance. Elastic Cloud offers benefits such as scalability, high availability, automatic updates, and security features. It also allows easy integration with other Elastic products such as Kibana and Logstash.

Which use cases are suitable for Elasticsearch and Elastic Cloud?

Elasticsearch and Elastic Cloud are suitable for a variety of use cases, including: Log analysis and monitoring: Elasticsearch can collect, analyze, and make log data searchable in real time to quickly detect and resolve issues. Search and analytics: Elasticsearch enables companies to efficiently search large volumes of data and perform complex queries to gain valuable insights. E-commerce search functionality: Elasticsearch can be used to provide fast and accurate search results for e-commerce websites, enhancing the user experience. Application monitoring and performance optimization: By monitoring and analyzing metrics, companies can improve the performance of their applications and identify bottlenecks.

25+ years of experience, 160 employees across 3 countries

Elasticsearch Agency

SUNZINET: Your partner for Elasticsearch implementation

We have over 20 years of experience and have implemented many successful projects with Elasticsearch. We deliver an enterprise search experience in conjunction with any technology.
Our services overview

As an Elasticsearch agency, we provide comprehensive services including architecture analysis to identify data to be indexed and appropriate indexing strategies. We optimize Elasticsearch configuration to continually improve a user's search experience.
Why should you implement Elastic search?

Elasticsearch is an index-based search engine, that offers unlimited scalability and flexibility for data management and implementation. It allows organizations to index and search their entire content across multiple channels. By leveraging Elasticsearch, businesses can improve search functionality, gain valuable insights, make data-driven decisions, and deliver a superior user experience.

TYPO3 Agentur

Mit über 500.000 Installationen ist TYPO3 das  am weitesten verbreitete Open Source CMS der Welt. Wir entwickeln und setzen für Sie vielseitige Websites, Intranets und mobile Anwendungen auf TYPO3 Basis um.

Kontakt aufnehmen

Our Elasticsearch services 

Get in touch now

Architecture analysis using UML and architecture design patterns to identify data sources and suitable ingest methods.
Configuration of Elasticsearch and the entire Elastic Cloud to ensure the best possible search experience.
Development of user interfaces for utilizing Elasticsearch across desired channels.
Support for continuous improvement of search results.

Our Customers: We are growth partners of

Kundenlogo Zeiss Blau und Weiss- Digitalagentur SUNZINET

Kundenlogo SWM - Digitalagentur SUNZINET

Kundenlogo SparkassenZeitung - Digitalagentur SUNZINET

Kundenlogo SUNPOINT schwarz - Digitalagentur SUNZINET

Your advantages in a nutshell

Get started with Elasticsearch

We work in an agile and transparent manner

Our solution architects are in constant dialogue with the project's stakeholders, to determine the best and most sustainable way to integrate Elasticsearch into the customer's system landscape.
Interdisciplinary teams

In interdisciplinary teams, developers implement user interfaces tailored to customer requirements, following the highest UX standards developed by our UX specialists.
Always up-to-date with the latest technology

By utilizing Elastic Cloud, we embrace the serverless approach, staying at the forefront of technology and eliminating maintenance and operational costs.
Proven processes in practice

Our well-established processes aim for the highest quality, customer satisfaction, and optimal results.

Top Internetagentur und Full Service Digitalagentur SUNZINET - 2024

BVDW Quality certificate - Storyblok Agentur SUNZINET

Top 100 SEO Q1 2024 - Storyblok Agentur SUNZINET

BVDW Code of Conduct badge - Storyblok Agentur SUNZINET

Google Analytics Certified Partner - Storyblok Agentur SUNZINET

Meet our specialists

Marcel Epler

Business Director Business Platforms

Stephan Ritter

Solution Architect

Marcel Hanf

Senior Developer

Christopher Dieterle

Developer

This how we would work with you

Analysis of your requirements

We break down the system landscape using UML to plan the precise implementation of Elasticsearch in the big picture. Additionally, we analyze data sources and user groups to identify desired search experiences.

Ingest methods identification

The analyzed system landscape reveals the characteristics of the data sources. Different data sources require the selection of appropriate methods for data ingestion.

Configuration of the index

We configure Elasticsearch according to the needs of the target audience. This includes setting up a phonetic search, weighting, synonyms, and curation.

Index population

Depending on the identified ingest methods, data may need to be indexed via APIs. In some cases, middleware is required for data sources, which can be implemented without significant additional effort.

User interface implementation

The search user interface is designed to match the look and feel of the respective application or website. Our UX experts support the development to ensure the highest standards of user experience for your customers.

Testing and quality assurance

During the implementation of the user interface, we conduct unit, functional, and end-to-end tests to ensure its quality. We use centralized logging to verify the middleware's runtime without errors.

Support and further development

After Elasticsearch is implemented in the customer's system landscape, we continue to provide support by indexing additional sources, identifying new use cases on new or existing channels, and continuously improving the index configuration.

Headless CMS Web development Agentur SUNZINET - 3

We utilize MACH architecture - for more flexibility, scalability and speed

We base our projects on MACH architecture – a modern technological framework consisting of four key components: Microservices, API-first, Cloud-native and Headless.

MACH Architecture allows you to rapidly adapt and integrate the latest technologies without being tied to specific vendors or technology stacks. It also supports a more personalized customer experience and enables faster updates and improvements, driving innovation and maintaining competitive advantage.

Learn more about MACH architecture

Want to improve user experience and accelerate your business?

Let's talk about your Elasticsearch project in person! Simply fill out the form, and we'll get back to you within 24 hours on a business day, for our first non-binding appointment call.

Florian von Waldthausen

Senior Business Development Manager

waldthausen.florian@sunzinet.com

What is Elasticsearch and how does it work?
Mehr lesen

Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It enables the storage, searching, and analysis of large volumes of structured and unstructured data in real time. Elasticsearch uses a distributed approach to ensure high availability and scalability. It also leverages full-text search to deliver fast and relevant search results.

Weniger
What is Elastic Cloud and what advantages does it offer?
Mehr lesen

Elastic Cloud is a hosted Elasticsearch service provided by Elastic. It enables companies to run Elasticsearch clusters in the cloud without having to worry about complex infrastructure and maintenance. Elastic Cloud offers benefits such as scalability, high availability, automatic updates, and security features. It also allows easy integration with other Elastic products such as Kibana and Logstash.

Weniger
Which use cases are suitable for Elasticsearch and Elastic Cloud?
Mehr lesen
Elasticsearch and Elastic Cloud are suitable for a variety of use cases, including:
- Log analysis and monitoring: Elasticsearch can collect, analyze, and make log data searchable in real time to quickly detect and resolve issues.
- Search and analytics: Elasticsearch enables companies to efficiently search large volumes of data and perform complex queries to gain valuable insights.
- E-commerce search functionality: Elasticsearch can be used to provide fast and accurate search results for e-commerce websites, enhancing the user experience.
- Application monitoring and performance optimization: By monitoring and analyzing metrics, companies can improve the performance of their applications and identify bottlenecks.
Weniger