Amazon OpenSearch Service vs Elastic Observability comparison

Amazon Web Services (AWS) and Elastic are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #24 with an average rating of 7.2, while Elastic is ranked #7 with an average rating of 8.1. Amazon Web Services (AWS) holds a 2.0% mindshare in APM, compared to Elastic’s 4.8% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it.

Amazon OpenSearch Service

Read 6 Amazon OpenSearch Service reviews

1,642 Views
627 Comparison Views

83% willing to recommend

Elastic Observability

Read 27 Elastic Observability reviews

9,104 Views
6,532 Comparison Views

88% willing to recommend

Amazon OpenSearch Service

Elastic Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

Elastic Observability and Amazon OpenSearch Service are two prominent solutions in the observability market. Elastic Observability seems to have the upper hand due to its richer feature set, despite Amazon OpenSearch's strong integration with AWS.

Features: Elastic Observability offers extensive log analysis, metrics, and APM capabilities. User reviews emphasize its robust alerting and visualization tools. Amazon OpenSearch Service, while strong in search and analytics, is valued for its seamless integration with AWS services. Elastic provides a richer feature set, but Amazon OpenSearch's integration edge caters well to AWS users.

Room for Improvement: Elastic Observability could enhance its integration with non-Elastic tools and improve its learning curve. Amazon OpenSearch Service could benefit from better documentation and more advanced analytics features. Elastic needs to focus on broader tool compatibility, whereas Amazon OpenSearch should work on ease of use and documentation.

Ease of Deployment and Customer Service: Elastic Observability deployment is smooth but requires significant configuration, with mixed reviews on customer service responsiveness. Amazon OpenSearch Service is simpler to deploy within AWS environments, and users find AWS support more reliable. Elastic's deployment can be more complex, but its versatility is noted, while Amazon's ease of use in AWS ecosystems and better support are appreciated.

Pricing and ROI: Elastic Observability's setup cost is perceived as higher, but its rich feature set justifies the expense for many users. Amazon OpenSearch Service offers a more predictable pricing model within AWS, often leading to favorable ROI feedback. Elastic's higher initial costs are balanced by its extensive capabilities, while Amazon OpenSearch's transparent pricing and integration with AWS make it cost-effective.

To learn more, read our detailed Amazon OpenSearch Service vs. Elastic Observability Report (Updated: May 2025).

Buyer's Guide

Amazon OpenSearch Service vs. Elastic Observability

May 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon OpenSearch Service

Ranking in Application Performance Monitoring (APM) and Observability

24th

Ranking in Log Management

22nd

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

7th

Ranking in Log Management

16th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (10th), Container Monitoring (4th), Cloud Monitoring Software (6th)

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 2.0%, up from 0.2% compared to the previous year. The mindshare of Elastic Observability is 4.8%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

VijayKumar27

Software Engineer at The American College

Effective as a vector store, serverless architecture but there aren't enough security features

The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.

Read full review

Adelina Craciun

Product Owner at Swisscom

Customization enables tailored monitoring and alerting across departments

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"This service already sorts data like vectors. They have classified the storage pre-defined."

"The business analytics capabilities are the most important feature it provides."

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."

"The customer service is excellent, rated nine out of ten."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

"The price is very less expensive compared to the other solutions."

"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"Good design and easy to use once implemented."

"The solution allows us to dig deep into data."

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

"It has always been a stable solution."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

More Elastic Observability pros

Cons

"One improvement I would like to see is support for auto-scaling."

"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."

"They can enhance data visualization."

"One improvement I would like to see is support for auto-scaling."

"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."

"Simplifying the parsing of logs and manual efforts would also be beneficial."

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."

"There's a steep learning curve if you've never used this solution before."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

"There could be more low-code features included in the product."

More Elastic Observability cons

Pricing and Cost Advice

Information not available

"One needs to pay for the licenses, and it is an annual subscription model right now."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"The product is not that cheap."

"Pricing is one of those situations where the more you use it, the more you pay."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"We have been using the open-source version."

More Elastic Observability pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

Government

Financial Services Firm

19%

Computer Software Company

15%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon OpenSearch Service?

We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage

See all answers

What is your experience regarding pricing and costs for Amazon OpenSearch Service?

I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...

See all answers

What needs improvement with Amazon OpenSearch Service?

In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle t...

See all answers

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

See all answers

What is your experience regarding pricing and costs for Elastic Observability?

The license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...

See all answers

What needs improvement with Elastic Observability?

I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...

See all answers

Comparisons

Grafana Loki vs Amazon OpenSearch Service

Compared 29% of the time

Datadog vs Amazon OpenSearch Service

Compared 15% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 13% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

Wazuh vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Sentry vs Elastic Observability

Compared 14% of the time

New Relic vs Elastic Observability

Compared 13% of the time

Dynatrace vs Elastic Observability

Compared 12% of the time

Grafana vs Elastic Observability

Compared 9% of the time

Zabbix vs Elastic Observability

Compared 8% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

June 2025

Download Amazon OpenSearch Service product report

Buyer's Guide

Elastic Observability

June 2025

Download Elastic Observability product report

Overview

Amazon OpenSearch Service is often used for log analysis, real-time application monitoring, and searching large datasets. Users benefit from its scalability, ease of use, and AWS integration, appreciating its capability to handle high data volumes while providing efficient search functionalities.

Many users choose Amazon OpenSearch Service for its powerful search and indexing capabilities, real-time analytics, and strong integration with AWS services. Key highlights include minimal downtime, detailed documentation, and efficient data processing. Scalability and automatic scaling are standout features, enabling users to manage high data volumes seamlessly. However, there is a call for improved integration, enhanced stability, and better support. Some users find the setup and configuration process challenging and desire more customization options for security features.

What are the key features of Amazon OpenSearch Service?

Scalability: Automatically scales to accommodate data growth and workload fluctuations.
Real-Time Analytics: Provides up-to-date insights and monitoring for applications.
Integration with AWS: Easily integrates with other AWS services, enhancing workflows.
Powerful Search Capabilities: Fast and efficient search and indexing functionalities.
Detailed Documentation: Comprehensive guides and resources to assist users.
Security Features: Flexible security options to protect data and manage access.

What benefits should users look for in reviews?

Efficiency: Quick data processing and minimal downtime.
Scalability: Ability to handle increasing data volumes without manual intervention.
Ease of Use: User-friendly interface and management tools.
Reliability: Consistent performance with robust support for data management workflows.
Integration: Seamless integration with existing AWS services and infrastructure.

In industries such as finance, healthcare, and e-commerce, Amazon OpenSearch Service is implemented to manage and analyze large datasets in real time. Companies benefit from its ability to monitor application performance, analyze log data, and enhance search functionalities, leading to improved operational efficiency and decision-making processes.

Amazon Web Services (AWS)

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.

Elastic

Sample Customers

Information Not Available

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Buyer's Guide

Amazon OpenSearch Service vs. Elastic Observability

May 2025

Free Report: Amazon OpenSearch Service vs. Elastic Observability

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