Amazon OpenSearch Service vs Elastic Observability comparison

Amazon OpenSearch Service vs. Elastic Observability

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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

35th

Ranking in Log Management

30th

Average Rating

7.8

Reviews Sentiment

7.5

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

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (7th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.7%, up from 0.0% compared to the previous year. The mindshare of Elastic Observability is 5.4%, down from 5.7% 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.

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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

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

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

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

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

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

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

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."

"Machine learning is the most valuable feature of this solution."

"It's easy to deploy, and it's very flexible."

"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

"The most valued feature of Elastic is its log analytics capabilities."

"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

"They can enhance data visualization."

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

"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."

"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."

"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."

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

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

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

"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 is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

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

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

"The price is the only issue in the solution. It can be made better and cheaper."

More Elastic Observability cons

Pricing and Cost Advice

Information not available

"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."

"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."

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

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"We will buy a premium license after POC."

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

"Elastic Observability's pricing could be better for small-scale users."

More Elastic Observability pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

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846,617 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

15%

Manufacturing Company

Government

Financial Services Firm

20%

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

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

Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.

What needs improvement with Amazon OpenSearch Service?

One improvement I would like to see is support for auto-scaling. The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually. Addi...

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...

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

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.

What needs improvement with Elastic Observability?

Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...

Grafana Loki vs Amazon OpenSearch Service

Comparisons

Compared 30% of the time

Datadog vs Amazon OpenSearch Service

Compared 18% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 14% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

New Relic vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

New Relic vs Elastic Observability

Compared 15% of the time

Sentry vs Elastic Observability

Compared 14% 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

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

Elastic Observability

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

Amazon OpenSearch Service vs. Elastic Observability