Amazon OpenSearch Service vs Logpoint comparison

Amazon OpenSearch Service

Read 24 Logpoint reviews

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86% willing to recommend

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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: August 2026).

Amazon OpenSearch Service vs. Logpoint

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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

17th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (21st), Search as a Service (3rd)

Logpoint

Ranking in Log Management

34th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (30th), User Entity Behavior Analytics (UEBA) (15th), Endpoint Detection and Response (EDR) (40th), Security Orchestration Automation and Response (SOAR) (20th)

Mindshare comparison

As of August 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.4%, down from 2.7% 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	1.4%
Logpoint	1.1%
Other	97.5%

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

"The stability of the product is good."

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

"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."

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

"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."

"It's a good log management platform. In terms of infrastructure management, it's good."

"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"

More Amazon OpenSearch Service pros

"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."

"The solution offers excellent reporting features, and our customers have been satisfied that they have been able to meet their compliance needs by giving them a standard report."

"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."

"The product is easy to use."

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

"The UEBA component, as well as the SOAR component, are some of the most valuable features of Logpoint."

"In my experience with medium-sized operations, LogPoint's scalability is excellent, so I would rate it a ten out of ten."

More Logpoint pros

Cons

"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."

"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."

"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."

"As a user, lower prices or reasonable pricing is always better."

"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."

"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."

"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."

More Amazon OpenSearch Service cons

"One of the things we faced last year was that we had some memory issues with the server running. We were running them as virtual services, and we were facing some performance issues. Back then, there were some things that had already been solved at the end, but one of the small issues we had was that it was quite memory-consuming. After one upgrade that we did, we faced some performance issues."

"In terms of functionality, it is very good. The only issue is the documentation. Its documentation should be improved."

"Customer Service: This is a HUGE problem."

"The solution should offer more integrations with third-party solutions, like incident response platforms, or allow access to third-party big data."

"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."

"Our customers were not happy with firewalling and the endpoint antivirus."

"I would rate the stability of Logpoint as a six out of ten. I have received reports indicating glitches and downtimes with Logpoint."

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

More Logpoint cons

Pricing and Cost Advice

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

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

"You only pay for what you use."

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

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

"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."

"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."

"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."

"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."

"It was on a yearly basis at about $100K. It was not a huge environment. We were running it on our own virtual server environment, which, of course, had a cost. There was hardware and some energy cost, and then there were Microsoft Windows licenses for servers. That's all, but there was nothing in comparison to the licensing costs."

"On a scale of one to ten, where one is cheap, and ten is expensive, I would rate LogPoint's pricing a seven. It is not very expensive compared to some of the more costly products, and it is not very cheap compared to some of the cheaper products in the SIEM market."

More Logpoint pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Construction Company

15%

Computer Software Company

11%

Manufacturing Company

11%

Outsourcing Company

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

Download Amazon OpenSearch Service product report

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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...

Amazon OpenSearch Service vs. Logpoint