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TYPO3 meets Elasticsearch: Boost Performance and Accuracy of your Search Function for a First-Class User Experience

Are you looking for an advanced, high-performance search tool for your TYPO3 website? Elasticsearch might be the solution you need. 


In B2B industries, companies often showcase a wide range of products, services, and technical documentation. Efficient search capabilities are crucial for enabling business clients to quickly locate product or service specifications, compare options, and make informed purchasing decisions. 

Take the manufacturing industry, for example. Websites in this field often present extensive catalogs of industrial components, machinery, and materials. With such a diverse product range, a precise and user-friendly search tool is essential to help buyers find exactly what they need. 

Conversely, long loading times and irrelevant search results can deter potential buyers, driving them to your competitors. 

Combining TYPO3 CMS and Elasticsearch creates a powerful tool for delivering a first-class search experience on your website.  

In this blog, we'll explore the following: 

Let's dive in! 

What is Elasticsearch?

Elasticsearch is a popular open-source solution designed to deliver more relevant search results in less time. It empowers users to find exactly what they are looking for quickly and effortlessly—whether it's a grinding machine in an online catalog or an employee handbook on the intranet. 

Specifically, Elasticsearch is an open, distributed search and analytics engine based on Apache Lucene. It enables full-text searches, making it ideal for handling large volumes of data. This solution can store, search, and analyze different types of structured and unstructured data promptly and efficiently—and provide highly accurate search results. 

One reason for Elasticsearch’s high performance is that it does not search raw data and documents directly. Instead, it combines them into indices beforehand. These indices can be analyzed much more quickly, making the search significantly faster than a simple text search.

What is the Elastic Stack?

Elasticsearch is part of the Elastic Stack, also known as the ELK stack. This is a series of Open Source tools that make it easy to collect, store, analyze and visualize data. In addition to Elasticsearch, the stack includes:

  • Logstash: Extracts and transforms data from various sources and passes it to Elasticsearch for indexing.
  • Kibana: Enables Elasticsearch data to be visualized in real time, e.g. in diagrams, maps and dashboards. 
  • Beats: Uses various data shipping agents to send data from countless systems to Logstash or Elasticsearch. 

Why should I use Elasticsearch for my TYPO3 website?

TYPO3 excels at managing complex structures and large amounts of content. However, efficiently searching through this extensive content is where Elasticsearch shines. By integrating Elasticsearch, you can significantly improve the user experience on your TYPO3 website. 

Below, we have summarized some of the most important benefits of a TYPO3—Elasticsearch integration: 

Deliver relevant search results faster – and get more traffic to get more leads and more sales 

Elasticsearch enhances the search experience, improving user satisfaction and driving more traffic to your website. 

Elasticsearch delivers real-time search results. Even on websites with vast amounts of data, users receive results within milliseconds. This is a significant improvement over native search functions, which often struggle with large datasets. 

Additionally, Elasticsearch uses advanced algorithms to ensure the most relevant results appear first, helping users find exactly what they need quickly. 

Elasticsearch also offers user-friendly features such as: 

Faceted Search: Users can refine search results using various filters. 

Auto-Completion: The search bar suggests completions for search queries. 

Spelling Correction: Elasticsearch corrects spelling mistakes automatically. 

Synonym Identification: It recognizes and searches for synonyms, broadening the search results. 

By integrating Elasticsearch with your TYPO3 website, you provide visitors a fast, accurate, and user-friendly search experience. This not only enhances user satisfaction but also increases your website traffic and customer engagement. 

Integrate different data sources and touchpoints – and create a unified search experience

Elasticsearch is not limited to TYPO3 content; it can gather, index, and search information from various data sources and display the results at different touchpoints.

For instance, a manufacturing company might use several data repositories.  

These could include: 

  • TYPO3 CMS for general information 
  • Product catalogs 
  • Product news information 
  • The database for technical specifications and manuals 
  • Other databases for parts and machinery details. 

With Elasticsearch, all this content can be accessed through one central search function, whether it's product information, technical manuals, or machinery details. You can also add the search function to different parts of the digital infrastructure, like the company's website or mobile app.  

In a nutshell, integrating Elasticsearch with your CMS System provides consistent search experience across different channels and makes it easier to find relevant information. 

Analyze the search behavior of users – and sharpen your customer understanding  

Elasticsearch gives you deep insights into your users' search behavior.  

When used with Kibana (part of the Elastic Stack), it allows you to monitor and analyze search queries, click paths, and user interactions. These insights help you understand the needs of potential customers, identify trends, and continuously improve the search experience.

What could the use of Elasticsearch look like?

Imagine a machine manufacturer aiming to provide customers with detailed information about its extensive product portfolio and technical documentation on its website. With Elasticsearch, users can quickly and accurately find the right machine or spare part. The faceted search allows them to narrow down results by machine type, application, price, or other criteria. Additionally, Elasticsearch enables access to manuals, specification sheets, and maintenance instructions stored in an external database through one central search. 

The use of Elasticsearch within the CMS system is wide. Here are a few more examples: 

  • A media company could use it to help visitors quickly find specific articles.  
  • An e-commerce company could make it easier for customers to find desired products.  

These examples show that the key reason to use Elasticsearch is the amount of data a company has, not the type of business or industry.


In conclusion, Elasticsearch is an excellent solution to enhance the search capabilities of your TYPO3 CMS. It is especially valuable for processing large amounts of data. Here are the key benefits: 

Precise and Powerful Search: Elasticsearch delivers accurate and efficient search results. 

Insights with Kibana: When combined with Kibana, it offers analysis functions that provide deep insights into users' search behavior. 

Ease of Implementation and Customization: The tool is easy to implement and customize to fit your specific needs. 

High Scalability: Elasticsearch can grow with your company, making it a suitable long-term solution. 

By leveraging Elasticsearch, you can take your TYPO3 CMS search functionality to the next level. 

TYPO3 Case Study

Discover how SUNZINET helped SIMONSWERK, a leading manufacturer with a 125-year legacy, increase website sessions by 55.51% and user numbers by 47.21%.

Read Full Case Study