ArcSight Logger vs Datadog comparison

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ArcSight Logger

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Executive SummaryUpdated on Apr 6, 2025

ArcSight Logger and Datadog are prominent in log management and monitoring solutions. Although ArcSight Logger excels in real-time correlation and long-term log storage, Datadog appears more advantageous due to its comprehensive monitoring capabilities and user-friendly customization.

Features: ArcSight Logger's valuable features include high scalability, powerful searching tools, and extensive security options. It integrates with ArcSight SIEM, enhancing data correlation and complex query handling. Datadog provides versatile visualization and integration features with comprehensive dashboards, easy setup, and seamless API integration, facilitating cross-functional team use.

Room for Improvement: ArcSight Logger could improve in user-friendliness, speed, and modern features like threat analytics. Its complex configuration is noted as a downside. Datadog's pricing complexity and cost management need improvement, with users desiring better query functionality and more robust security features.

Ease of Deployment and Customer Service: ArcSight Logger is typically deployed on-premises with mixed reviews on technical support. Datadog is praised for easy deployment across private, public, and hybrid clouds with more responsive and efficient customer service.

Pricing and ROI: ArcSight Logger is perceived as expensive, impacting its appeal despite its value in large enterprises. Measuring ROI is challenging, but its security benefits are recognized. Datadog's pricing is high, especially for large-scale operations, but users find its insights valuable, warranting the investment, particularly in environments emphasizing uptime and issue resolution.

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

ArcSight Logger vs. Datadog

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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

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

Datadog

Ranking in Log Management

3rd

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

188

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of ArcSight Logger is 0.8%, down from 1.1% compared to the previous year. The mindshare of Datadog is 6.0%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

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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Kevin Palmer

DevOps/Security Principal at Raken

Useful log aggregation and management with helpful metrics aggregation

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

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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

"ArcSight provides the basic information that we want."

"It's a brilliant log collection tool, and it can handle hundreds of thousands of servers in a single shot to ingest the data."

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

"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."

"The solution provides information about the risk factors."

"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."

"The log digestion features from threat intelligence platforms like Recorded Future or Talos are valuable."

"In our country we are a little bit private in terms of solutions, so we are just starting to use the basic data capture. Now some users can start to use additional features that come with Micro Focus ArcSight like user behavior analytics for investigating."

More ArcSight Logger pros

"The setup cost was minimal."

"The many dozens of integrations that the solution brings out of the box are excellent."

"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."

"The web app has a real-time support chat window in which a support engineer is chatting with you within a minute."

"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."

"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."

"If we have a large load for users using our basic Datadog, it will immediately fire off an alert notifying us either something's wrong or not."

"Infrastructure monitoring gives us real-time visibility into our servers, containers, and cloud resources, helping us optimize performance and reduce downtime."

More Datadog pros

Cons

"The platform is quite expensive. They should reduce its cost."

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

"The solution should make it possible to integrate network analysis features."

"I would rate the technical support only 5 out of 10. The technical support is not satisfactory."

"We have had problems with archiving."

"It would be better if the product is cheaper."

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

"ArcSight has been sold two or three times, and the quality has decreased."

More ArcSight Logger cons

"Datadog could make their use cases more visible either through their docs or tutorial videos."

"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."

"It lacks consistency in the APIs."

"The documentation leaves a lot to be desired for new users."

"More granular control over dashboard sharing. Timeboard sharing."

"In some cases the screenshots don't match the text as updates are made."

"One area where Datadog could be improved is its pricing structure, which can sometimes make it cost-prohibitive to adopt new features."

"The pricing model can be quite complex and might benefit from more flexible options tailored to different organizational needs."

More Datadog cons

Pricing and Cost Advice

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

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

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

"ArcSight is an expensive solution."

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

"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."

"The pricing is quite harsh."

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

"The tool is open-source."

"They prefer monthly subscriptions."

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."

"While it is an expensive product, I would rate the pricing level at four out of five."

"The solution is fairly priced but history and log storage can get costly depending on your needs."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

17%

Government

Educational Organization

30%

Computer Software Company

11%

Financial Services Firm

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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.

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.

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...

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

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Product Reports

ArcSight Logger

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Also Known As

Micro Focus Arcsight Logger, HPE Arcsight Logger

No data available

Overview

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

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Sample Customers

China Merchants Bank, Bank AlJazira, Banca Intesa

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

ArcSight Logger vs. Datadog