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Elastic Announces General Availability of Elastic Cloud Serverless Powered by Search AI Lake

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Elastic (NYSE: ESTC) has announced the general availability of Elastic Cloud Serverless, powered by a re-architectured Elasticsearch built on a Search AI Lake. The new serverless architecture decouples compute from storage and indexing from search, utilizing cloud-native object storage to enable seamless scaling while maintaining low-latency querying performance.

The solution offers streamlined pricing based on resource metrics like data ingestion, storage, and compute units, with volume pricing for security and observability data. Initially available on AWS, support for Azure and Google Cloud instances will be available in early 2025. The platform is designed for high-volume workloads, from retrieval augmented generation to threat detection, eliminating operational overhead while maintaining performance.

Elastic (NYSE: ESTC) ha annunciato la disponibilità generale di Elastic Cloud Serverless, alimentato da un Elasticsearch riprogettato basato su un Search AI Lake. La nuova architettura serverless separa il calcolo dallo storage e l'indicizzazione dalla ricerca, utilizzando il cloud-native object storage per abilitare una scalabilità senza soluzione di continuità mantenendo prestazioni di query a bassa latenza.

La soluzione offre una tariffazione semplificata basata su metriche delle risorse come l'ingestione dei dati, storage e unità di calcolo, con prezzi per volume per dati di sicurezza e osservabilità. Inizialmente disponibile su AWS, il supporto per Azure e Google Cloud sarà disponibile all'inizio del 2025. La piattaforma è progettata per carichi di lavoro ad alto volume, dalla generazione aumentata da recupero alla rilevazione di minacce, eliminando i costi operativi mantenendo le prestazioni.

Elastic (NYSE: ESTC) ha anunciado la disponibilidad general de Elastic Cloud Serverless, impulsado por un Elasticsearch reestructurado basado en un Search AI Lake. La nueva arquitectura serverless desacopla el cómputo del almacenamiento y la indexación de la búsqueda, utilizando almacenamiento en objetos nativo de la nube para permitir una escalabilidad sin problemas, manteniendo un rendimiento de consulta de baja latencia.

La solución ofrece una tarifa simplificada basada en métricas de recursos como la ingestión de datos, almacenamiento y unidades de cómputo, con precios por volumen para datos de seguridad y observabilidad. Inicialmente disponible en AWS, el soporte para instancias de Azure y Google Cloud estará disponible a principios de 2025. La plataforma está diseñada para cargas de trabajo de alto volumen, desde generación aumentada por recuperación hasta detección de amenazas, eliminando la sobrecarga operativa mientras mantiene el rendimiento.

Elastic (NYSE: ESTC)Elastic Cloud Serverless의 일반 가용성을 발표했습니다. 이는 Search AI Lake에 기반한 재설계된 Elasticsearch로 구동됩니다. 새로운 서버리스 아키텍처는 계산을 저장소에서 분리하고 색인 작성을 검색에서 분리하여, 클라우드 네이티브 객체 저장소를 활용하여 매끄러운 확장을 가능하게 하며 저지연 쿼리 성능을 유지합니다.

이 솔루션은 데이터 수집, 저장 및 컴퓨팅 단위와 같은 리소스 메트릭을 기반으로 한 간소화된 가격 책정을 제공하며, 보안 및 관찰 데이터를 위한 볼륨 가격도 제공합니다. 처음에는 AWS에서 사용할 수 있으며, Azure 및 Google Cloud 인스턴스에 대한 지원은 2025년 초에 제공될 예정입니다. 이 플랫폼은 회수 증강 생성에서 위협 탐지에 이르기까지 고용량 워크로드를 위해 설계되었으며, 성능을 유지하면서 운영 비용을 제거합니다.

Elastic (NYSE: ESTC) a annoncé la disponibilité générale de Elastic Cloud Serverless, alimenté par un Elasticsearch réarchitecturé basé sur un Search AI Lake. La nouvelle architecture sans serveur découple le calcul du stockage et l'indexation de la recherche, utilisant un stockage d'objet natif au cloud pour permettre une scalabilité fluide tout en maintenant des performances de requête à faible latence.

La solution propose une tarification simplifiée basée sur des indicateurs de ressources tels que l'ingestion de données, le stockage et les unités de calcul, avec une tarification en volume pour les données de sécurité et d'observabilité. Initialement disponible sur AWS, le support pour les instances Azure et Google Cloud sera disponible début 2025. La plateforme est conçue pour des charges de travail à fort volume, allant de la génération augmentée par récupération à la détection des menaces, éliminant la surcharge opérationnelle tout en maintenant la performance.

Elastic (NYSE: ESTC) hat die allgemeine Verfügbarkeit von Elastic Cloud Serverless angekündigt, das auf einem neu gestalteten Elasticsearch basiert, das auf einem Search AI Lake läuft. Die neue serverlose Architektur trennt die Berechnung vom Speicher und die Indizierung von der Suche, indem sie cloud-native Objektspeicher nutzt, um nahtloses Skalieren zu ermöglichen und gleichzeitig eine Abfrageleistung mit niedriger Latenz beizubehalten.

Die Lösung bietet eine vereinfachte Preisstruktur, die auf Ressourcenmetriken wie Datenaufnahme, Speicherung und Recheneinheiten basiert, mit Mengenrabatten für Sicherheits- und Observabilitätsdaten. Zunächst auf AWS verfügbar, wird die Unterstützung für Azure und Google Cloud-Instanzen Anfang 2025 verfügbar sein. Die Plattform ist für hochvolumige Workloads konzipiert, von der Retrieval-unterstützten Generierung bis zur Bedrohungserkennung, und beseitigt betriebliche Overheads, während sie die Leistung aufrechterhält.

Positive
  • Introduction of new serverless architecture optimized for real-time search applications
  • Cost-effective pricing model based on actual usage with volume discounts
  • Platform expansion to Azure and Google Cloud planned for early 2025
  • Enhanced scalability without compromising query performance
Negative
  • cloud platform availability, currently only on AWS
  • Dependency on cloud-native infrastructure may increase vendor lock-in

Insights

The launch of Elastic Cloud Serverless represents a significant technological advancement in cloud-based search infrastructure. The decoupling of compute from storage and the implementation of a Search AI Lake architecture addresses critical market demands for scalable AI-powered search solutions. The platform's ability to handle complex workloads like RAG and threat detection while maintaining low latency is particularly valuable.

The new pricing model based on resource metrics rather than flat rates is strategically positioned to attract enterprise customers. The multi-cloud expansion planned for Azure and Google Cloud in 2025 will significantly expand market reach. Early customer testimonials indicating near-zero latency and ease of setup suggest strong product-market fit. This architecture positions Elastic competitively in the rapidly growing AI infrastructure market, particularly for enterprises requiring scalable search solutions integrated with AI capabilities.

This product launch strengthens Elastic's competitive position in the cloud services market. The serverless architecture's consumption-based pricing model could drive higher revenue per customer while potentially lowering barriers to adoption. The tiered pricing structure for security and observability data encourages increased usage, creating a natural path to revenue expansion.

The planned multi-cloud availability across AWS, Azure and Google Cloud positions Elastic to capture a larger share of the enterprise market, particularly among organizations with multi-cloud strategies. The focus on AI-powered search capabilities aligns with current market trends and could drive increased adoption among enterprises implementing AI initiatives. This could positively impact Elastic's revenue growth and market share in the medium to long term.

The new stateless Elasticsearch architecture is optimized for real-time search on limitless data to scale security, observability and search without operational overhead

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, today announced the general availability of its Elastic Cloud Serverless powered by a re-architectured Elasticsearch that is built on an industry-first Search AI Lake optimized for real-time applications. It combines vast storage with low-latency querying and all of the strengths of Elasticsearch’s AI and search capabilities.

“The need for scalability within search has never been more prevalent,” said Maribel Lopez, Founder & Principal Analyst of Lopez Research. “Serverless architecture supports the development of AI-powered search applications because it offers significant benefits in terms of scalability, cost-efficiency, and flexibility for modern software development. Companies need this type of architectural flexibility to navigate a rapidly changing AI landscape without having to make scale or performance trade-offs."

Elastic Cloud Serverless is engineered to tackle high-volume, complex, and high-performance workloads—from retrieval augmented generation (RAG) to threat detection. By decoupling compute from storage, indexing from search and using cost-effective cloud-native object storage, the architecture scales seamlessly while retaining the rapid, low-latency querying performance and AI relevance capabilities of Elasticsearch.

“Ingesting data and querying the cluster showed nearly zero latency using Elastic Cloud Serverless,” said Madison Bahmer, Senior Principal Enterprise Architect, Two Six Technologies. “It is really fast and extremely easy to set up; we provisioned a new project without needing technical expertise.”

Streamlined solutions that start fast and search faster

The fully managed Elastic Cloud Serverless offers both streamlined solutions and pricing. The new solution-specific pricing aligns costs with actual usage tailored to the different needs of security, observability, and search — offering greater flexibility and predictability.

By focusing on resource-based metrics like data ingestion, storage, and compute units, Elastic makes it easier for customers to manage budgets and scale as needed — enabling more control to manage workloads across different applications.

In addition, new volume pricing for security and observability data, using a tiered pricing model, simplifies scaling by reducing costs per unit as data usage increases, making it easy for customers to set up new projects for search, observability and security.

  • Elasticsearch Serverless lets developers rapidly build AI-powered search applications with the latest features, save time managing infrastructure, and scale up or down to meet their needs.
  • Elastic Observability Serverless enables a hassle-free experience without the overhead of managing the Elastic Stack or manually scaling capacity.
  • Elastic Security Serverless provides security analysts with a new cloud deployment option for their security analytics and SIEM use cases.

“What has stood out to our team with Elasticsearch Serverless is its ease of use,” said Marcel Makus, Development Manager at SAP Concur. “Elasticsearch Serverless is simple to use as a fully managed service, and it takes virtually no time to set up a new project. We’ve also been impressed with how well Elastic delivers on its autoscaling capabilities.”

“With our fully managed Elastic Cloud Serverless, we’re helping customers save more, scale fast, and search faster,” said Ken Exner, chief product officer at Elastic. “By removing operational overhead, developers can rapidly build AI-powered search applications without concern for latency or scalability. Our Search AI Lake inherently supports dense vectors and features such as hybrid search, faceted search, and relevance ranking, which are especially vital for applications like GenAI and RAG."

Pricing and availability

Elastic Cloud Serverless is initially generally available on AWS. Support for Azure instances will be available in early 2025, opening Elastic Cloud Serverless to Microsoft's growing cloud ecosystem for seamless integration with Azure services like Blob Storage, Event Hubs, and Azure Active Directory among many others to streamline workflows. Support for Google Cloud instances will also be available in early 2025.

Elastic Cloud Serverless offers both streamlined solutions and pricing. Information on the solution-specific pricing is available here. Read the blog to learn how to get started more, including for search, observability, and security, or start your free trial now.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Alexia Russell

PR-team@elastic.co

Source: Elastic N.V.

FAQ

When will Elastic Cloud Serverless (ESTC) be available on Azure and Google Cloud?

Elastic Cloud Serverless will be available on both Azure and Google Cloud platforms in early 2025.

What are the key features of Elastic's new Cloud Serverless architecture?

The architecture decouples compute from storage and indexing from search, uses cloud-native object storage, and maintains low-latency querying with AI capabilities while offering seamless scaling.

How does Elastic Cloud Serverless (ESTC) pricing work?

Pricing is based on resource metrics including data ingestion, storage, and compute units, with volume-based tiered pricing for security and observability data.

Elastic N.V.

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