We believe getting immediate, actionable insight from data matters. As the company behind the three open source projects — Elasticsearch, Logstash, and Kibana — designed to take data from any source and search, analyze, and visualize it in real time, we are helping people make sense of data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what’s possible with data, delivering on the promise that good things come from connecting the dots.
How long can you wait for insights on your fast-moving data? With Elasticsearch, all data is immediately made available for search and analytics.
Combining the speed of search joins with the power of analytics changes your relationship with your data. Interactively search, discover, and analyze to gain insights that improve your products or streamline your business.
Elasticsearch allows you to start small and scale horizontally as you grow. Simply add more nodes, and let the cluster automatically take advantage of the extra hardware.
Elasticsearch clusters are resilient — they will detect new or failed nodes, and reorganize and rebalance data automatically, to ensure that your data is safe and accessible.
Logstash is a data pipeline that helps you process logs and other event data from a variety of systems. With 165 plugins and counting, Logstash can connect to a variety of sources and stream data at scale to a central analytics system.
Business-critical data is often scattered among different systems, each in its own format. Logstash allows you to parse this data and converge on a common format before inserting it into your analytics datastore of choice.
Most logs written by infrastructure and applications have custom formats. Logstash provides a fast and convenient way to custom logic for parsing these logs at scale.
Built with extensibility in mind, Logstash provides an API for rapid plugin development by the community. With recent improvements to the plugin ecosystem, contributors can publish new plugins at any time.
Architected to work with Elasticsearch, Kibana gives shape to any kind of data — structured and unstructured — indexed into Elasticsearch. It also benefits from Elasticsearch's powerful search and analytics capabilities.
To better understand large volumes of data, easily create bar charts, line and scatter plots, histograms, pie charts, and maps.
Leverage the power of Elasticsearch analytics capabilities to analyze your data intelligently, perform mathematical transformations, and slice and dice your data as you see fit.
Packetbeat has joined forces with Elastic to introduce Beats: the future of data shippers for Elasticsearch. Starting with Packetbeat for network packet analytics, the Beats platform is the basis for building open source collectors for log files, infrastructure metrics, and other important types of data you want to enrich with Logstash, search in Elasticsearch, and visualize with Kibana.www.elastic.co/products/beats
X-Pack security features give the right access to the right people. IT, operations, and application teams rely on X-Pack to manage well-intentioned users and keep nefarious actors at bay, while executives and customers can rest easy knowing data stored in the Elastic Stack is safe and secure.www.elastic.co/products/x-pack/security
The Elastic Stack is the engine powering critical systems across your organization, business, and team. Keep a pulse on how it's performing to make sure you're getting the very most out of it. The monitoring features in X-Pack provide you with visibility into how your Elastic Stack is running.www.elastic.co/products/x-pack/monitoring
Elasticsearch for Apache Hadoop (ES-Hadoop) is the two-way connector that solves a top wishlist item for any Hadoop user out there: real-time search. While the Hadoop ecosystem offers a multitude of analytics capabilities, it falls short with fast search. ES-Hadoop bridges that gap, letting you leverage the best of both worlds: Hadoop's big data analytics and the real-time search of Elasticsearch.www.elastic.co/products/hadoop
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Opgericht in 2012
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- Analytics & Business Intelligence (BI)
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