Sold by: ElasticÂ
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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.
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://console.qa.cld.elstc.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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Deployed on AWS
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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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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.
Resources
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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
By Elastic
By ChaosSearch, Inc.
Top
10
In Databases & Analytics Platforms
Top
10
In Generative AI, Log Analysis
Top
100
In Log Analysis, Analytic Platforms
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Vector Database Capabilities
Advanced vector database supporting generative AI, semantic search, and machine learning model integration through a unified API
Observability Platform
Comprehensive visibility across AWS and hybrid environments with over 400 integrations including CloudWatch, CloudTrail, EC2, and OpenTelemetry support
Security Analytics
AI-driven security analytics with advanced threat detection capabilities for SecOps, SIEM, and cross-surface attack analysis
Multi-Deployment Architecture
Flexible deployment options including serverless, cloud-hosted, and on-premise infrastructure with enterprise-grade security
Machine Learning Integration
Native support for machine learning models, connectors, and frameworks with seamless integration and scalable performance
Artificial Intelligence Analysis
Advanced AI agent that automates data analysis and accelerates root cause investigations
Telemetry Data Integration
Supports unified visibility across logs, metrics, and traces for cloud-native environments
Anomaly Detection
Real-time system anomaly detection to proactively prevent potential incidents
OpenTelemetry Compatibility
Flexible integration with OpenTelemetry standards for standardized observability pipelines
Multi-Architecture Support
Native compatibility with modern architectures including Kubernetes, serverless, and microservices environments
Data Indexing
Indexes Amazon S3 data without transformation, optimizing for data size and performance
Analytics Integration
Supports search, SQL, and machine learning workloads through open APIs with tools like Kibana, Elastic, Looker, and Tableau
Cloud Storage Transformation
Converts Amazon S3 into a hot analytical data lake with native indexing capabilities
Data Access Architecture
Enables direct data access without complex data pipelines, parsing, or schema changes
Scalability Mechanism
Provides infinite scale data analysis with no administrative overhead for re-indexing, sharding, or load balancing
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Standard contract
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Customer reviews
3.8
36 ratings
36 AWS reviews
|
277 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Verified User in Banking
Fast Data Processing and Great Observability—No Complaints
Reviewed on Oct 14, 2025
Review provided by G2
What do you like best about the product?
What I like best about Elasticsearch is its speed and scalability when working with large volumes of data. It excels at full-text search and real-time querying, making it incredibly useful for applications like log analysis, monitoring, and powering search features.
What do you dislike about the product?
Nothing at all. It's good the way it is.
What problems is the product solving and how is that benefiting you?
Elasticsearch helps solve the problem of quickly searching, analyzing, and visualizing large volumes of data in real time. For me, it simplifies observability and operational intelligence, reducing time to detect and resolve problems while giving deeper insight into system and user behavior.
Chandrakant Bharadwaj
Boosted search efficiency through real-time querying and seamless indexing for high-volume product data
Reviewed on Oct 14, 2025
Review from a verified AWS customer
What is our primary use case?
The main use cases for Elastic Search are index building and retrieving information using Elastic Search vector, vector search, and related functionalities. Search is the primary use case.
What is most valuable?
Computation is very good. The scalability is very good because we have a huge customer database that is searching lots of products, and auto-scaling or load balancing are the prominent features we are using in this.
If we look at the impact on operational efficiency, we can see that decision-making has become much faster due to real-time data and quick responses. We have also implemented many automations, which enhance our processes. For example, when we optimize certain fields to improve search functionality, it yields great results.
What needs improvement?
I have not explored Elastic Search at the most. Searching from vector DB is available in Elastic Search, and there is one more concept of graph searching or graph database searching. I have not explored it, but if it is not there, that would be an improvement area where Elastic Search can improve.
For how long have I used the solution?
I have been working with Elastic Search for more than two years.
What do I think about the stability of the solution?
It is very reliable, and it has no downtime.
What do I think about the scalability of the solution?
I believe it is scalable. Every day, we have thousands of users continuously utilizing the search feature. We haven't encountered any problems so far, and there is the potential for auto-scaling. It is currently a scalable solution.
How are customer service and support?
We have not contacted them yet. So far, we haven't had any need.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is straightforward.
What about the implementation team?
We have a team of developers, so it is internally managed.
What was our ROI?
We have not calculated the ROI for Elastic Search, but we are a consumer platform where numerous searches are happening, and we are getting very good results from the current infrastructure of Elastic Search. Though the exact numbers or ROI were never calculated, the performance has been beneficial.
What's my experience with pricing, setup cost, and licensing?
It is average compared to other platforms. There isn’t anything particularly special about the pricing. However, the pay-as-you-go model is advantageous for the organization, as we only pay for what we utilize.
What other advice do I have?
We are using AWSÂ for our solutions. In AWSÂ , we are heavily using Redshift and Glue. We focus more on vector searches and boosting the keywords, and all those features we are using heavily. In search, the key parameter that we boost up during indexing is essential.
We self-implement Elastic Search in our e-commerce application. We are not currently doing a regex setup for RAG Playground, but there is a plan to do that. We are more into vector searches when it comes to how effectively the hybrid search capability meets our needs for combining traditional keyword and vector searches.
Regarding the workflow, we are using the API for real-time inference because lots of data is being loaded at real-time on the application, and it is working well for us.Â
I can definitely recommend Elastic Search to be used wherever you have consumer search capabilities needed in a large or scalable manner because it is very effective.Â
I would rate Elastic Search an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Financial Services
ECK Kube features and stability
Reviewed on Oct 10, 2025
Review provided by G2
What do you like best about the product?
Elastic ECK for Kubernetes offers useful features and reliable stability. It effectively meets our enterprise search requirements.
What do you dislike about the product?
None, it worked well. met all requirements
What problems is the product solving and how is that benefiting you?
Enterprise search
Muhammad A.
Very high, if they need to build a search feature or analyze time-series data like logs or metrics.
Reviewed on Oct 10, 2025
Review provided by G2
What do you like best about the product?
The most compelling feature of Elasticsearch is its scalability and performance in handling high-volume, high-velocity data
What do you dislike about the product?
The primary critique of Elasticsearch centers on its operational complexity and resource intensity at scale. While it offers immense power, it is not a tool you can simply 'set and forget.
What problems is the product solving and how is that benefiting you?
we use it for real-time log analysis, application performance monitoring (APM), and security analytics (SIEM) by aggregating, indexing, and visualizing all machine-generated data.
Aman M.
Elasticsearch provides best searching and data aggregation capabilities
Reviewed on Oct 09, 2025
Review provided by G2
What do you like best about the product?
I used Elasticsearch to store salary statistical data and to perform mathematical operations on that data. What I appreciated most about Elasticsearch is that its queries offer built-in support for operations such as calculating the mean, average, and percentiles.
What do you dislike about the product?
The documentation for Elasticsearch could use some improvement. It would be helpful if more detailed information were included.
What problems is the product solving and how is that benefiting you?
Elasticsearch offers outstanding text search capabilities with minimal latency. Along with simple text search, it also provides capabilities like string matching, wildcards, fuzzy logic etc