Sold by: Elastic
Deployed on AWS
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Address your search, observability, and security challenges with Elastic's leading vector database, built for generative AI, semantic search, and hundreds of open, pre-built integrations. Start a 7-day free trial and harness the power of your data, securely and at scale.
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Overview
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Elastic's Search AI Platform combines world-class search with generative AI to address your search, observability, and security challenges.
Elasticsearch - the industry's most used vector database with an extensive catalog of GenAI integrations - gives you unified access to ML models, connectors, and frameworks through a simple API call. Manage data across sources with enterprise-grade security and build scalable, high-performance apps that keep pace with evolving business needs. Elasticsearch gives you a decade-long head start with a flexible Search AI toolkit and total provisioning flexibility-fully managed on serverless, in the cloud, or on your own infrastructure.
Elastic Observability resolves problems faster with open-source, AI-powered observability without limits, that is accurate, proactive and efficient. Get comprehensive visibility into your AWS and hybrid environment through 400+ integrations including Bedrock, CloudWatch, CloudTrail, EC2, Firehose, S3, and more. Achieve interoperability with an open and extensible, OpenTelemetry (OTel) native solution, with enterprise-grade support.
Elastic Security modernizes SecOps with AI-driven security analytics, the future of SIEM. Powered by Elastic's Search AI Platform, its unprecedented speed and scalability equips practitioners to analyze and act across the attack surface, raising team productivity and reducing risk. Elastic's groundbreaking AI and automation features solve real-world challenges. SOC leaders choose Elastic Security when they need an open and scalable solution ready to run on AWS.
Take advantage of Elastic Cloud Serverless - the fastest way to start and scale security, observability, and search solutions without managing infrastructure. Built on the industry-first Search AI Lake architecture, it combines vast storage, compute, low-latency querying, and advanced AI capabilities to deliver uncompromising speed and scale. Users can choose from Elastic Cloud Hosted and Elastic Cloud Serverless during deployment. Try the new Serverless calculator for price estimates: https://cloud.elastic.co/pricing/serverless .
Ready to see for yourself? Sign into your AWS account, click on the "View Purchase Options" button at the top of this page, and start using a single deployment and three projects of Elastic Cloud for the first 7 days, free!
Highlights
- Search: Build innovative GenAI, RAG, and semantic search experiences with Elasticsearch, the leading vector database.
- Security: Modernize SecOps (SIEM, endpoint security, cyber security) with AI-driven security analytics powered by Elastic's Search AI Platform.
- Observability: Use open, extensible, full-stack observability with natively integrated OpenTelemetry for Application Performance Monitoring (APM) of logs, traces, and other metrics.
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Elastic Consumption Unit | $0.001 |
Dimensions summary
Elastic Consumption Units (ECUs) represent Elastic's unified pricing metric across both their Cloud Hosted and Serverless offerings on AWS Marketplace. For Cloud Hosted solutions, ECUs measure infrastructure resource consumption, while for Serverless offerings, ECUs quantify usage based on service-specific dimensions such as data ingestion, search operations, and security events. This flexible pricing model ensures customers pay only for their actual usage, whether they're using Elasticsearch, Observability, Security, or other Elastic services.
Top-of-mind questions for buyers like you
What is an Elastic Consumption Unit (ECU) and how is it calculated?
An ECU is Elastic's standardized billing metric that measures usage across their services. For Cloud Hosted deployments, ECUs are calculated based on infrastructure resources consumed, while for Serverless offerings, ECUs are determined by service-specific usage metrics like data ingestion volume, search operations, or security events processed.
How can I estimate my monthly costs for Elastic Cloud on AWS Marketplace?
Elastic provides a pricing calculator on their website where you can estimate costs based on your expected usage patterns. You can also monitor your actual ECU consumption through Elastic Cloud console's usage monitoring features, and the billing interface shows detailed breakdowns of usage by service and deployment.
Does Elastic Cloud on AWS Marketplace require any upfront commitment?
Elastic Cloud on AWS Marketplace follows a pay-as-you-go model with no upfront commitments required. However, customers can opt for annual commitments to receive volume discounts, and usage is billed monthly through your AWS account based on actual consumption of ECUs.
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See EULA above.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Visit Elastic Support (https://www.elastic.co/support ) for more information. If you are a customer, go to the Elastic Support Hub (http://support.elastic.co ) to raise a case.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
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By ChaosSearch, Inc.
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In Databases & Analytics Platforms
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In Generative AI, Log Analysis
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In Log Analysis, Analytic Platforms
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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Customer service
Cost effectiveness
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AI generated from product descriptions
Vector Database Capabilities
Elasticsearch functions as a vector database with extensive GenAI integrations, providing unified access to ML models, connectors, and frameworks through API calls for semantic search and RAG applications.
Observability and Monitoring
Full-stack observability solution with OpenTelemetry native integration supporting 400+ integrations including AWS services like Bedrock, CloudWatch, CloudTrail, EC2, Firehose, and S3 for comprehensive visibility across environments.
AI-Driven Security Analytics
Security operations platform powered by Search AI Platform delivering AI-driven security analytics for SIEM, endpoint security, and cyber security with advanced automation features for attack surface analysis.
Serverless Architecture
Serverless deployment option built on Search AI Lake architecture combining vast storage, compute, low-latency querying, and advanced AI capabilities without infrastructure management requirements.
Enterprise-Grade Data Management
Unified data management across multiple sources with enterprise-grade security, flexible provisioning options across serverless, cloud, and on-premises infrastructure deployments.
AI-Powered Root Cause Analysis
Automatically investigates alerts and pinpoints root causes with 5x faster analysis capabilities.
Natural Language Query Interface
Enables querying of observability data using conversational natural language to identify issues and receive actionable insights.
Real-Time Anomaly Detection
Detects system anomalies in real-time to prevent incidents before they impact users.
OpenTelemetry Integration
Supports standardized OpenTelemetry integration for unified data collection across logs, metrics, and traces in cloud-native environments including Kubernetes, serverless, and microservices.
Multi-Tiered Storage Architecture
Implements multi-tiered storage and data management capabilities to optimize telemetry costs and achieve 30% to 50% cost savings.
Direct S3 Data Indexing
Indexes Amazon S3 data without transformation or schema changes, enabling immediate access to all data as-is
SQL and Search Query Support
Enables SQL queries and search workloads on indexed S3 data through open APIs compatible with analytics tools
Machine Learning Workload Capability
Supports machine learning workloads on indexed data stored in Amazon S3 with infinite scalability
Unlimited Data Retention
Provides unlimited retention of indexed data, enabling historical analysis across any time horizon without data purging or archival requirements
Fully Managed Service Architecture
Operates as a fully managed service eliminating administrative overhead including re-indexing, sharding, load balancing, and compute/storage management
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Customer reviews
Computer Hardware
Powerful Log Database with Helpful Integrations for Easy Parsing
Reviewed on Feb 12, 2026
Review provided by G2
What do you like best about the product?
You can use it as a database and classify all type of logs. The integrations they have helps you to parse them
What do you dislike about the product?
Sometimes correlations can be difficult between different technologies
What problems is the product solving and how is that benefiting you?
Handling logs
Information Technology and Services
Efficient Log Management & Search with Excellent Support
Reviewed on Feb 12, 2026
Review provided by G2
What do you like best about the product?
Very efficient product to manage our logs and search
The support is easy to interact with and the quality of the answers are perfect
The support is easy to interact with and the quality of the answers are perfect
What do you dislike about the product?
When it is self managed, a bit tedious to update
What problems is the product solving and how is that benefiting you?
Centralizing our documentation and making it available in quick search is really great
Vikas Kumar C.
Best No-SQL Databases with vector search and AI use cases
Reviewed on Feb 12, 2026
Review provided by G2
What do you like best about the product?
It’s one of the best NoSQL databases on the market. It makes it easier to collect logs from many different sources and to define integrations for them. It provides many features within one tool like vector search, machine learning, alerting and a lot
What do you dislike about the product?
I don’t like the breaking changes that come with version upgrades, because they have a big impact when multiple teams depend on the deployment.
What problems is the product solving and how is that benefiting you?
We collect telecom metrics from around 1,000 servers, which helps us search for and debug errors, create KPIs, and set up rules and alerting based on that data. As a result, it reduces manual effort and is easy to integrate with other systems. The best part is elasticsearch can be used for varied use cases. Its a single point of monitoring for our whole telecom stack.
Telecommunications
Powerful Search Platform for Enterprise-Scale Operations
Reviewed on Feb 11, 2026
Review provided by G2
What do you like best about the product?
What I like best about Elasticsearch is its powerful search and aggregation capabilities combined with high performance at scale. We support over 100 customers who use it daily in their operations, and Elasticsearch consistently handles large data volumes with fast response times.
From a support perspective, features like detailed query capabilities, clear APIs, and strong integration within the Elastic Stack significantly improve our workflow. Kibana dashboards help us quickly analyze customer issues, review logs, and identify performance bottlenecks without needing custom tools. This often reduces troubleshooting time from hours to minutes.
An unexpected benefit has been how flexible and scalable the platform is across different customer environments. It allows us to support diverse use cases while maintaining a relatively standardized architecture.
From a support perspective, features like detailed query capabilities, clear APIs, and strong integration within the Elastic Stack significantly improve our workflow. Kibana dashboards help us quickly analyze customer issues, review logs, and identify performance bottlenecks without needing custom tools. This often reduces troubleshooting time from hours to minutes.
An unexpected benefit has been how flexible and scalable the platform is across different customer environments. It allows us to support diverse use cases while maintaining a relatively standardized architecture.
What do you dislike about the product?
One of the main challenges with Elasticsearch is the complexity of configuration and tuning, especially in larger or high-availability clusters. For customers without deep expertise, settings around JVM tuning, shard allocation, and performance optimization can be difficult to manage. This often increases the support workload and extends troubleshooting time.
Version upgrades can also be demanding. Breaking changes between major versions and strict compatibility requirements sometimes require careful planning and additional testing, which impacts customer environments and maintenance windows.
Customers often ask about the possibility of reverting to the previous version, but this is not possible.
In such cases, we have to come up with our own workarounds.
Improved backward compatibility, clearer upgrade paths, and more built-in automated diagnostics for cluster health and performance tuning would significantly reduce operational overhead for both customers and support teams.
Version upgrades can also be demanding. Breaking changes between major versions and strict compatibility requirements sometimes require careful planning and additional testing, which impacts customer environments and maintenance windows.
Customers often ask about the possibility of reverting to the previous version, but this is not possible.
In such cases, we have to come up with our own workarounds.
Improved backward compatibility, clearer upgrade paths, and more built-in automated diagnostics for cluster health and performance tuning would significantly reduce operational overhead for both customers and support teams.
What problems is the product solving and how is that benefiting you?
Many of our customers struggled with slow database searches, limited reporting capabilities, and fragmented log storage. Troubleshooting incidents often required manually checking multiple systems, which was time-consuming and inefficient.
With Elasticsearch, they can centralize logs and operational data, perform fast full-text searches, and build real-time dashboards. As a result, tasks that previously took hours - such as identifying the root cause of an issue - can now often be completed in minutes.
For us as a support team, this has significantly reduced resolution times and improved SLA compliance. In many cases, incident investigation time has decreased by 50% or more, which directly benefits both our customers and our internal operations.
With Elasticsearch, they can centralize logs and operational data, perform fast full-text searches, and build real-time dashboards. As a result, tasks that previously took hours - such as identifying the root cause of an issue - can now often be completed in minutes.
For us as a support team, this has significantly reduced resolution times and improved SLA compliance. In many cases, incident investigation time has decreased by 50% or more, which directly benefits both our customers and our internal operations.
Manoj M.
Fast, Flexible, and Innovative—Elasticsearch at Its Best
Reviewed on Feb 11, 2026
Review provided by G2
What do you like best about the product?
I appreciate its speed, flexibility, and innovation.
What do you dislike about the product?
There isn’t much to dislike about Elastic Search.
What problems is the product solving and how is that benefiting you?
It’s helping us improve our search platform and making it better overall.