Amazon OpenSearch Service vs ArcSight Logger comparison

Amazon Web Services (AWS) and OpenText are both solutions in the Log Management category. Amazon Web Services (AWS) is ranked #30 with an average rating of 7.5, while OpenText is ranked #31 with an average rating of 6.7. Amazon Web Services (AWS) holds a 2.3% mindshare in Log Management, compared to OpenText’s 0.8% mindshare. Additionally, 80% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 80% of OpenText users who would recommend it.

Amazon OpenSearch Service

Read 5 Amazon OpenSearch Service reviews

1,659 Views
1,529 Comparison Views

80% willing to recommend

ArcSight Logger

Read 31 ArcSight Logger reviews

1,469 Views
1,332 Comparison Views

80% willing to recommend

Amazon OpenSearch Service

ArcSight Logger

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

ArcSight Logger and Amazon OpenSearch Service compete in data analytics and log management. ArcSight Logger has the upper hand in security features, while Amazon OpenSearch Service stands out for flexibility and scalability.

Features: ArcSight Logger offers robust security features, specialized functionalities, and reliable performance. Amazon OpenSearch Service provides scalability, diverse integration options, and a comprehensive data analytics solution.

Room for Improvement: ArcSight Logger requires enhancements in performance speed, handling large-scale data, and reliability. Amazon OpenSearch Service needs better setup, simpler configuration, and improved setup guidance.

Ease of Deployment and Customer Service: ArcSight Logger provides a straightforward deployment process and consistent performance. Amazon OpenSearch Service has a more complex deployment but offers better customer support and resource availability.

Pricing and ROI: ArcSight Logger's pricing is higher, but users find it provides good ROI over time. Amazon OpenSearch Service is initially cost-effective with a scalable architecture offering potential higher long-term ROI.

To learn more, read our detailed Amazon OpenSearch Service vs. ArcSight Logger Report (Updated: April 2025).

Buyer's Guide

Amazon OpenSearch Service vs. ArcSight Logger

April 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 Log Management

30th

Average Rating

7.8

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (35th)

ArcSight Logger

Ranking in Log Management

31st

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.3%, up from 0.0% compared to the previous year. The mindshare of ArcSight Logger is 0.8%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

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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Geraldo Freitas

Analista de TI - suporte a redes e segurança at Tribunal de Contas da União

Enhances our security incident investigation but not good for correlation

Investigation is good when you know what you want to search for in Logger. The most difficult part is parsing the logs and configuring the parsers. For investigation, it's good. For correlation, it's not good. We use Sentinel, and Sentinel has pre-built use cases that are much easier to configure. So, it enhances our security incident investigation. We have inbound integration, but configuring the parsers is sometimes very difficult. We only have two use cases where we have a correlation set up. We send the information to Check Point to block IP addresses when we see a lot of blocks from the same source. We have a trigger. So, Logger automatically blocks these IP addresses. We could have Logger put them on a blacklist. So, it offers the ease of integration.

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

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

"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."

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

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

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

"It's a robust, mature product and you can do some really complex operations and analytics."

"The ability to customize the solution in great detail is its most valuable features. We can customize the use cases and also have the ability to do scripting. We can personalize our dashboard as well. The scalability the solution offers is quite impressive."

"Some of the most valuable features I really appreciate are the performance, how quick the solution is, and how easy it is to create a query."

"It is one of the best products available in the market."

"The ESM use cases are the most valuable. It enables us to use the big data collection inside our company. We are able to create use cases for whatever it suits and I find that the most interesting part of any SIEM solution."

"We have a trigger. So, Logger automatically blocks these IP addresses. We could have Logger put them on a blacklist."

"In terms of ArcSight Logger's most valuable feature, it is their scalability. ArcSight's real advantage is its scalability because they have two layers, including the logger layer."

"ArcSight's robustness is its most valuable feature."

More ArcSight Logger pros

Cons

"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."

"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."

"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."

"Using the ArcSight Logger dashboard is not particularly intuitive or efficient, so it is important to be trained in its use."

"The solution could be improved in maintenance settings."

"You have limited reporting capabilities and I wouldn't choose ArcSight Logger for this purpose."

"We have had problems with archiving."

"In the next release, I want to see more intelligence."

"It is really difficult to work in ArcSight Logger, as it is very slow."

"I had some latency issues for two months. I had to increase our storage capacity significantly to reduce the latency."

"We find that the search and access functionality is quite slow."

More ArcSight Logger cons

Pricing and Cost Advice

Information not available

"The pricing is quite harsh."

"Pricing is reasonable compared to similar tools on the market. They offer perpetual licenses."

"We have a lifetime license, so we don't pay a monthly fee."

"I rate the product’s pricing a seven out of ten, where one is inexpensive, and ten is expensive."

"I would rate the product a seven out of ten since it's an enterprise product."

"ArcSight is an expensive solution."

"ArcSight Logger is very expensive compared to their competitors, but when we talk to the customer and explain what the features are and how we can scale, they understand. Still, ArcSight is more expensive than the competition."

"It's not cheap at all as it's a big product and has been in the market for quite some time now."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Financial Services Firm

19%

Computer Software Company

17%

Government

Educational Organization

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?

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

See all answers

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...

See all answers

What do you like most about ArcSight Logger?

We have a trigger. So, Logger automatically blocks these IP addresses. We could have Logger put them on a blacklist.

See all answers

What is your experience regarding pricing and costs for ArcSight Logger?

The pricing isn't the problem. We have a lifetime license, so we don't pay a monthly fee.

See all answers

What needs improvement with ArcSight Logger?

The solution has room for improvement. We're currently upgrading to the newer version, where they have something like Kafka, a hub for all solutions feeding information into Logger. However, I thin...

See all answers

Comparisons

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Compared 30% of the time

Datadog vs Amazon OpenSearch Service

Compared 17% 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

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Splunk Enterprise Security vs ArcSight Logger

Compared 38% of the time

IBM Security QRadar vs ArcSight Logger

Compared 35% of the time

Elastic Security vs ArcSight Logger

Compared 9% of the time

Wazuh vs ArcSight Logger

Compared 7% of the time

LogRhythm SIEM vs ArcSight Logger

Compared 4% of the time

More ArcSight Logger Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

April 2025

Download Amazon OpenSearch Service product report

Buyer's Guide

ArcSight Logger

April 2025

Download ArcSight Logger product report

Also Known As

No data available

Micro Focus Arcsight Logger, HPE Arcsight Logger

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)

HPE ArcSight Data Platform (ADP) offers a future-ready data solution that enriches data in real time and supports open standards for better threat detection. Using security data connectors, ADP collects data and enriches it in real-time to give analysts organized information that can be acted upon instantly.

OpenText

Sample Customers

Information Not Available

China Merchants Bank, Bank AlJazira, Banca Intesa

Buyer's Guide

Amazon OpenSearch Service vs. ArcSight Logger

April 2025

Free Report: Amazon OpenSearch Service vs. ArcSight Logger

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