Amazon OpenSearch Service vs Logpoint comparison

Amazon OpenSearch Service

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Executive SummaryUpdated on Feb 22, 2026

LogPoint and Amazon OpenSearch Service compete in the log management and analytics category. LogPoint seems to have the upper hand due to its comprehensive SIEM and SOAR integration, distinguishing it from OpenSearch's strong AWS integration.

Features: LogPoint offers rapid deployment, robust log collection, and analytics. Its AI-driven UEBA and comprehensive dashboards enhance user value. Amazon OpenSearch Service provides efficient search functionalities, scalable architecture, and seamless AWS service integration, with strong analytics dashboards enhancing data retrieval flexibility.

Room for Improvement: LogPoint needs better log parsing, third-party integration, and cloud-native capabilities, with customization and resource demands as additional concerns. Amazon OpenSearch Service could simplify configuration, enhance integrated support, and improve documentation, with its pricing model and lack of automated scaling features also highlighted as drawbacks.

Ease of Deployment and Customer Service: LogPoint, with its primarily on-premises deployment, provides robust but variable technical support. Amazon OpenSearch Service excels in public cloud deployment, easing integration for cloud environments, although it still faces communication and support challenges.

Pricing and ROI: LogPoint's predictable pricing is based on a per-device model, offering cost-effectiveness for fixed deployments with flexible discounts. Amazon OpenSearch Service's managed service incurs higher costs, even when idle, due to its flexibility and cloud integration benefits, making it less predictable for budgeting.

To learn more, read our detailed Amazon OpenSearch Service vs. Logpoint Report (Updated: September 2026).

Amazon OpenSearch Service vs. Logpoint

September 2026

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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 Log Management

15th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (23rd), Search as a Service (3rd)

Logpoint

Ranking in Log Management

32nd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (29th), User Entity Behavior Analytics (UEBA) (14th), Endpoint Detection and Response (EDR) (40th), Security Orchestration Automation and Response (SOAR) (19th)

Mindshare comparison

As of October 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.3%, down from 2.8% compared to the previous year. The mindshare of Logpoint is 1.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Amazon OpenSearch Service	1.3%
Logpoint	1.1%
Other	97.6%

Log Management

Featured Reviews

Md. Shahariar Hossen

Senior Software Engineer at Cefalo

Event tracking has become smoother and data analytics provide clear insights for user actions

Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.

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Rifat Hasan

System Engineer at Corporate Projukti Limited

Has lacked proper integration and consistent support communication

I selected Logpoint for the pricing as it is reasonable. I am located in Bangladesh, South Asia, Dhaka. I have tried to contact Exabeam by mail repeatedly, but there has been no response. My company, Corporate Projukti Limited, including my Bangladesh area head, technical director, and team manager, have sent emails to contact Exabeam solution, but there is no response. There is already a distributor in Bangladesh. The weakness with Logpoint is UEBA. UEBA is recommended, but not extra. Exabeam's UEBA is an extra feature. SOAR is extra, but Logpoint's product measurement is 40 or 50. There is a 10% difference with the UEBA and SOAR, so Logpoint is weak there. I would appreciate extra features in Logpoint such as SOAR. SOAR and UEBA are included features in Logpoint. Logpoint's UEBA is a weak point, while Exabeam's UEBA has extra AI through automation. Exabeam has a license included, and the extra license is an add-on. In Logpoint, it is included, which makes it a weak point.

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Quotes from Members

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

Pros

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."

"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."

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

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."

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

"The initial set up is very easy...We really appreciate Amazon!"

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

More Amazon OpenSearch Service pros

"The most beneficial was being able to prove, with proper reports, that from a compliance perspective, the company is in control. The service part of LogPoint did modifications or did some additional work to have the proper reports defined."

"The solution's most valuable aspect is the combination of the software and the support that they have."

"For on-premises, it is the best solution."

"I would say that it's a good product; it's very stable, and the support is very good."

"The most valuable feature, which is endpoint security, is included in Logpoint, and an extra feature is the integration."

"Log collection, dashboards and reporting are good."

"It is an AI technology because it is using machine learning technology. So far, there is nothing better out there for UEBA in terms of monitoring endpoints and user activity. It is using machine learning language, so it is right at the top. It provides that capability and monitors all the activities. It devises a baseline and monitors if there is any deviation from the baseline."

"The search feature is valuable. The dashboards are also valuable for our bosses. Another valuable feature, which is the main feature of the product, is the centralization of all the logs."

More Logpoint pros

Cons

"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."

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

"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."

"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."

"There is the problem with the database. Amazon only provides the host to run to our applications bias, but there is no option to manage the database within the Elasticsearch product."

"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 glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."

"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."

More Amazon OpenSearch Service cons

"The thing that makes it a little bit challenging is when you run into a situation where you have logs that are not easily parsable."

"Log management could be better because transporting the log from a password to the client system takes time."

"It needs to improve performance. That's somehow something that others do better."

"My issues with the product are mainly with regard to how it handles collecting logs."

"I know that they have user behavior analytics, but it's an extra cost for this feature. It would be nice if it was in with the standard products."

"The documentation part is something that needs to be improved, as well as the threat intelligence investigation part."

"LogPoint is complex and we don't have the skills to maintain use cases or even to extend the use cases."

"Nowadays the trend is going towards the ransomware and the endpoint detection and response. So if they added something for that, that will be very, very good."

More Logpoint cons

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."

"The solution is not expensive, but priced averagely, I will say."

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"LogPoint seemed like it was a good product, but it was expensive and there wasn't any room to move the pricing when customers needed a lower-costing solution."

"It's less expensive than the competitors. The Logpoint marketing team is very accommodating and client-friendly. They offer very good reductions in price. They are pretty good in this aspect. They are transparent in their licensing and pricing."

"It has a fixed price, which is what I like about LogPoint. I bought the system and paid for it, and I pay maintenance. It is not a consumption model. Most SIEMs or most of the log management systems are consumption-based, which means that you pay for how many logs you have in the system. That's a real problem because logs can grow very quickly in different circumstances, and when you have a variable price model, you never know what you're going to pay. Splunk is notoriously expensive for that reason. If you use Splunk or QRadar, it becomes expensive because there are not just the logs; you also have to parse the logs and create indexes. Those indexes can be very expensive in terms of space. Therefore, if they charge you by this space, you can end up paying a significant amount of money. It can be more than what you expect to pay. I like the fact that LogPoint has a fixed cost. I know what I'm going to pay on a yearly basis. I pay that, and I pay the maintenance, and I just make it work."

"It's getting more expensive, which is one of the reasons we're looking around just to see if there's anything better value."

"My company used to pay for LogPoint costs annually. It's a cost-effective solution. I'm not part of the Finance team, though, so I'm not sure exactly what the licensing fee is or what license my company had."

"Logpoint's pricing is mid-ranged and depends on the number of devices."

"Our licensing fees are about $10,000 USD per month, which I think is fair."

"For a hundred user deployment the cost is about $10,000. The next year it would be the same because it's a subscription-based license. There are separate costs as well, for example, if a customer asks for training for their staff."

More Logpoint pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Construction Company

14%

Manufacturing Company

12%

Outsourcing Company

11%

Comms Service Provider

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	3
Large Enterprise	4

Questions from the Community

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...

What needs improvement with Amazon OpenSearch Service?

What is your primary use case for Amazon OpenSearch Service?

Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...

What is your experience regarding pricing and costs for LogPoint?

I rate the pricing at eight, suggesting it's relatively good or affordable.

What needs improvement with LogPoint?

What is your primary use case for LogPoint?

I had experience with Logpoint before, and I contacted the Exabeam solution, but there was no response; they did not contact me. Bangladesh already has a Logpoint distributor. In terms of complianc...

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Product Reports

Amazon OpenSearch Service

October 2026

Download Amazon OpenSearch Service product report

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September 2026

Also Known As

Amazon Elasticsearch Service

No data available

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

Logpoint offers a robust SIEM system tailored for compliance with regulations like PCI DSS and GDPR, enhancing security monitoring and enabling efficient incident response.

Logpoint strengthens cybersecurity by offering essential tools for log collection, security monitoring, and forensic analysis. Its features include an intuitive dashboard, a powerful correlation engine, and extensive third-party integrations, making it a versatile asset for security operations centers. Despite its advantages, areas for improvement include ransomware protection, cloud-native deployment, and more flexible pricing. Improvements in features like SOAR and UEBA functionality can boost its competitiveness.

What are the most important features of Logpoint?

Easy-to-use dashboard: Simplifies interaction with intuitive design.
Correlation engine: Connects data for in-depth security insights.
Comprehensive log collection: Facilitates extensive data gathering.
Third-party integrations: Connects seamlessly with other tools.
UEBA and SOAR components: Enhance threat response and automation.

What benefits and ROI should users consider?

Cost-effectiveness: Provides significant value for its pricing.
User-friendly interface: Enhances usability with straightforward design.
Compliance navigation: Eases PCI DSS and GDPR compliance.
Quick support service: Provides responsive customer assistance.

Many organizations utilize Logpoint across industries as part of their security infrastructure. It supports standard compliance, orchestrating incident responses and security threat monitoring. Logpoint empowers businesses by integrating and correlating security data, improving cybersecurity posture in varied environments.

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

AP Pension, Copenhagen Airports, KMD, Terma, DISA, Danish Crown, Durham City Council, Game, TopDanmark, Lahti Energia, Energi Midt, Synoptik, Eissmann Group Automotive, Aligro, CG50...