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OpenSearch

Search and Observability Suite

With OpenSearch, we provide you with an open source search and analysis platform that allows you to search and visualize large amounts of data in real time.

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From the idea to running OpenSearch

You don’t have to build OpenSearch alone. We accompany you step by step – and stay by your side afterwards.

Step 1

Analysis & concept

We review your data sources, systems and requirements and plan together which logs, metrics and events are sensibly recorded, stored and searched. This results in a lean search & logging concept that is not unnecessarily complex and can be easily operated later on.
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Step 2

Structure & integration

We set up OpenSearch, data sources, indexes, pipelines, alerting and suitable integrations to suit your needs. A clean index and mapping design ensures that search evaluations remain clear and operations can be controlled efficiently.
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Step 3

Commissioning & visualization

Your OpenSearch setup goes live, data flows in in real time and is visibly searched and analyzed in dashboards. This gives you transparency about the availability, performance and status of your systems - instead of just collecting data that nobody analyzes.
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Step 4

Support & Operation

On request, we can take over the ongoing operation completely or support your team with support and training - so that your OpenSearch remains stable, up-to-date and practical.

Opensearch Features

Understanding data instead of drowning in a flood of data: OpenSearch searches, analyzes and visualizes large amounts of data in real time – as a completely open source platform without license limits.

Full text search and analysis

Search structured and unstructured data almost in real time. Complex search queries help you to recognize patterns and quickly extract relevant information from large amounts of data.

Visualization and dashboards

Search structured and unstructured data almost in real time. Complex search queries help you to recognize patterns and quickly extract relevant information from large amounts of data.

Open API integration

Use the RESTful API to index data, create queries and manage alarms. This allows you to integrate OpenSearch seamlessly into your own applications or third-party tools.

Anomaly detection (ML-based outlier detection)

Integrated machine learning automatically recognizes atypical patterns and warns you early – so you can detect security threats, outages or performance issues before they become critical.

Vector search for AI/ML applications

With k-NN Vector Search, you use OpenSearch as a vector database for semantic and hybrid search – the basis for smart natural language applications and the connection of LLMs.

Multi-tier storage for cost optimization

With Hot, UltraWarm and Cold Storage, you can adjust the storage costs according to data age and access. UltraWarm is significantly cheaper for historical data – ideal for long log archiving.

Shaping IT together

We help you to strategically plan, technically implement and sustainably operate modern IT and monitoring solutions. We combine consulting, implementation and support to create a tailor-made service that is geared to your requirements. Our aim is to make complex systems transparent, stable and efficient to use.

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Managed OpenSearch

Collect, save and analyze all your data

Our Managed OpenSearch offering is brand new, and we are happy to support you on your way to storing, analyzing and visualizing your data. Get in touch with our sales team to create the perfect environment for your requirements. Together with our partners, we ensure that your OpenSearch experience is exactly what it should be: simple, fast and secure.

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Know-how

More know-how about OpenSearch

Automation instead of copy & paste

Ansible basics

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Last updated: 28.05.2026 Imagine you have to install the same packages, start services and adjust configurations on 10 servers. Manually via SSH, with copy-paste commands…

To the article

Questions & Answers

The most frequently asked questions about OpenSearch

What is Opensearch?

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OpenSearch is an open source search and analysis platform that emerged from the spin-off of Elasticsearch and Kibana by Amazon Web Services (AWS). It enables the search, analysis and visualization of large amounts of data in real time and is often used for log management, monitoring and other data-driven use cases. OpenSearch offers similar functions to Elasticsearch, but is completely open source and available without commercial restrictions.

How does OpenSearch work?

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OpenSearch works by storing data in indexes, which can then be searched and queried using a powerful search and analysis engine. It uses a distributed architecture in which data is distributed across several nodes to increase both processing speed and reliability. Users can index data in real time, perform complex search queries and visualize the results in dashboards to gain valuable insights from large amounts of data.

What can I use OpenSearch for?

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OpenSearch can be used to efficiently search, analyze and visualize large amounts of data in real time, making it ideal for use cases such as log management, monitoring and security analysis. Companies often use it to gain insights into system and application metrics and to identify and resolve problems more quickly. In addition, OpenSearch can be used to create custom search applications that process and query data from various sources.

What does OpenSearch cost?

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OpenSearch is available free of charge as an open source project, so it can be used without license fees. The software itself can be operated independently on local servers or in cloud environments at no direct cost. However, if OpenSearch is used as a managed service, e.g. via NETWAYS Web Services (NWS), fees for the underlying infrastructure, such as storage, computing power and data transfer, are incurred depending on usage.

Is Amazon OpenSearch Elasticsearch?

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Amazon OpenSearch is a fork of Elasticsearch, which was created after Elastic changed its license. OpenSearch is based on an earlier version of Elasticsearch and shares many of the features, but is developed independently and offered under a fully open license. While both platforms offer similar search and analytics capabilities, OpenSearch is specifically developed and supported by AWS, while Elasticsearch is developed by Elastic.

Are OpenSearch and Elasticsearch the same thing?

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OpenSearch and Elasticsearch are not the same, but they have common roots, as OpenSearch was created as a fork of Elasticsearch before Elasticsearch changed its license. Both offer similar search and analysis functions, but differ in terms of licensing, further development and the ecosystem. While Elasticsearch is developed by Elastic, OpenSearch is a fully open source project supported by AWS and the community.

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