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Elastic Unveils Dedicated Query Language to Simplify Data Investigation

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Elastic (NYSE: ESTC) introduces Elasticsearch Query Language (ES|QL), a new piped query language designed to transform, enrich, and simplify data investigation with concurrent processing. ES|QL enables SREs, developers, and security professionals to perform data aggregation and analysis across various data sources from a single query, reflecting Elastic's commitment to empowering enterprises for faster insights and decision-making.
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New solution enables SREs, developers and security professionals to perform data aggregation and transformation within a single query

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic® (NYSE: ESTC) ("Elastic"), the company behind Elasticsearch®, today announced Elasticsearch Query Language (ES|QL), its new piped query language designed to transform, enrich and simplify data investigation with concurrent processing. ES|QL enables site reliability engineers (SREs), developers and security professionals to perform data aggregation and analysis across a variety of data sources from a single query.

Over the last two decades, the data landscape has become more fragmented, opaque, and complex, driving the need for greater productivity and efficiency among developers, security professionals, and observability practitioners. Organizations need tools and services that offer iterative workflow, a broad range of operations, and central management to make security and observability professionals more productive.

“ES|QL reflects our ongoing commitment to invest in innovations that empower enterprises to find the answers and insights they need faster,” said Ken Exner, chief product officer at Elastic. “We’re redefining how we interact with data to transform the foundations of decision-making. ES|QL empowers organizations to unlock the true potential of their data, bringing agility and efficiency to the forefront of their operations.”

Elasticsearch Query Language key benefits include:

  • Delivers a comprehensive and iterative approach to data investigation with ES|QL piped query syntax.
  • Improves speed and efficiency regardless of data’s source or structure with a new ES|QL query engine that leverages concurrent processing.
  • Streamlines observability and security workflows with a single user interface, which allows users to search, aggregate and visualize data from a single screen.

"ES|QL is going to change everything,” said Amreth Chandrasehar, director of ML Engineering, Observability and Site Reliability Engineering at Informatica. “Once released, it will be our primary query expression language.”

ES|QL is currently available as a technical preview. The general availability version, scheduled for release in 2024, will include additional features to further streamline data analysis and decision-making.

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About Elastic

Elastic (NYSE: ESTC) is a leading platform for search-powered solutions. Elastic understands it's the answers, not just the data. The Elasticsearch platform enables anyone to find the answers they need in real-time using all their data, at scale. Elastic delivers complete, cloud-based, AI-powered solutions for enterprise security, observability and search built on the Elasticsearch platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co

Candace Metoyer

Elastic Public Relations

PR-Team@elastic.co

Source: Elastic N.V.

FAQ

What is the new product announced by Elastic (NYSE: ESTC)?

Elastic (NYSE: ESTC) has announced Elasticsearch Query Language (ES|QL), a new piped query language designed to transform, enrich, and simplify data investigation with concurrent processing.

Who can benefit from ES|QL?

ES|QL is designed to benefit site reliability engineers (SREs), developers, and security professionals by enabling them to perform data aggregation and analysis across various data sources from a single query.

When will ES|QL be available for general release?

The general availability version of ES|QL is scheduled for release in 2024, including additional features to further streamline data analysis and decision-making.

Elastic N.V.

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elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. founded in 2012 by the people behind the elasticsearch, kibana, beats, and logstash open source projects, elastic's global community has more than 80,000 members across 45 countries. since its initial release, elastic's products have achieved more than 100 million cumulative downloads. today thousands of organizations, including cisco, ebay, dell, goldman sachs, groupon, hp, microsoft, netflix, the new york times, uber, verizon, yelp, and wikipedia, use the elastic stack, x-pack, and elastic cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. elastic is backed by more than $104 million in funding from benchmark capital, index ventures, and nea; has headquarters in amsterdam, the netherlands, and mountain view, california; and has over 400 employees in more than 30 count