Elastic Observability vs syslog-ng by One Identity comparison

Why PeerSpot?

Elastic and One Identity are both solutions in the Log Management category. Elastic is ranked #16 with an average rating of 9.0, while One Identity is ranked #18 with an average rating of 10.0. Elastic holds a 1.3% mindshare in Log Management, compared to One Identity’s 1.4% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of One Identity users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

12,505 Views
3,626 Comparison Views

88% willing to recommend

syslog-ng by One Identity

Read 7 syslog-ng by One Identity reviews

4,518 Views
4,473 Comparison Views

100% willing to recommend

Elastic Observability

syslog-ng by One Identity

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jul 20, 2026

Syslog-ng by One Identity and Elastic Observability are competitors in log management and monitoring. Elastic Observability is perceived as superior due to its comprehensive features, making it appealing for organizations seeking advanced monitoring capabilities.

Features: Syslog-ng by One Identity provides robust log collection and advanced parsing capabilities, supporting flexible data processing in diverse IT environments. Elastic Observability excels with its rich visualization tools, integrated analytics, and seamless ecosystem integration, offering a holistic monitoring solution. While Syslog-ng is noted for processing efficiency, Elastic Observability provides extensive observability features.

Room for Improvement: Syslog-ng by One Identity could enhance its SIEM integration and offer more comprehensive out-of-the-box analytics. Its deployment in complex environments might require additional customization, and more flexibility in dashboard customization is needed. Elastic Observability could benefit from easing its learning curve, optimizing resource usage for large deployments, and improving cost-effectiveness for smaller organizations. It might also streamline its initial setup process.

Ease of Deployment and Customer Service: Syslog-ng by One Identity is known for its straightforward deployment with minimal setup complexity and receives positive feedback for its customer support. Elastic Observability offers a cloud-native option that boosts scalability but may present a steeper learning curve for new users. Its extensive documentation and community resources enhance user support, providing a balance between flexibility and initial complexity.

Pricing and ROI: Syslog-ng by One Identity offers competitive pricing, providing substantial ROI by effectively managing logs with manageable setup costs. Elastic Observability, while potentially more costly, is justified through its extensive features and integration options that enhance monitoring capabilities, possibly yielding high returns. Syslog-ng attracts cost-sensitive buyers, whereas Elastic Observability appeals to those prioritizing comprehensive features despite a higher initial investment.

To learn more, read our detailed Elastic Observability vs. syslog-ng by One Identity Report (Updated: September 2026).

Buyer's Guide

Elastic Observability vs. syslog-ng by One Identity

September 2026

Download the complete report

Helped 920,769 peers since 2012

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

Elastic Observability

Ranking in Log Management

16th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (12th), IT Infrastructure Monitoring (15th), Container Monitoring (5th), Cloud Monitoring Software (11th)

syslog-ng by One Identity

Ranking in Log Management

18th

Average Rating

9.0

Reviews Sentiment

3.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Log Management category, the mindshare of Elastic Observability is 1.3%, up from 1.3% compared to the previous year. The mindshare of syslog-ng by One Identity is 1.4%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.3%
syslog-ng by One Identity	1.4%
Other	97.3%

Log Management

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

Read full review

Oliver Castellucchio

IT Infrastructure & Cloud Security Manager at Thux

Has ensured compliance by centralizing log data and supporting secure connections

We currently do not use that feature. We currently have just an open-source release, not a premium release. My boss has indicated that he wants to buy a premium syslog-ng version next month. I think we can use other features of this tool in the future. In syslog-ng, I think a GUI would be beneficial. I am unsure if the premium module has a GUI to administer it.

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

"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."

"The solution allows us to dig deep into data."

"The architecture and system's stability are simple."

"Elastic Observability is highly stable; we ingested nearly 170 million records in the system and we have tested it, and you get your reports and dashboards within a few seconds, so it doesn't take much time."

"The solution has been stable in our usage."

"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."

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

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

More Elastic Observability pros

"The ability to extract and store the logs is the most valuable feature of syslog-ng."

"What I appreciate most about syslog-ng is its configuration; its C-style config is much easier to understand, read, and write than other popular solutions such as syslog or rsyslog."

"Syslog-ng has a separate config file in addition to the core configuration."

"Syslog-ng has built-in features that we can use to create alerts for a SIEM solution. It isn't a true SIEM solution, but it's sufficient for the time being."

"For us, the most valuable feature is the use of compound search for searching logs at a specific time, by a specific user, or specific behavior."

"Syslog-ng provides easy access to all my logs. It helps me show managers and other clients precisely where an incident occurred. I also like it because you can integrate syslog-ng with multiple solutions to allow real-time monitoring."

"We chose syslog-ng because it is easy to install, easy to maintain, easy to update, and due to the fact that all data arrive in raw format, we can manipulate it as we want."

Cons

"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."

"There could be more low-code features included in the product."

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

"With Elastic, you need to code and program more things compared to Dynatrace."

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

"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"The interface could be improved."

More Elastic Observability cons

"There is always the potential for additional integration and protocol extensions."

"In syslog-ng, I think a GUI would be beneficial. I am unsure if the premium module has a GUI to administer it."

"It's hard to find people who know how to use syslog-ng. I often find problems with configurations, and solutions aren't integrated correctly with syslog-ng. For example, there might be data with extra decimals, or the collector agents are incorrectly named. It isn't a problem with the solution; it's a lack of professionals."

"The filtering has room for improvement."

"There is room for improvement in terms of observability."

Pricing and Cost Advice

"The product is not that cheap."

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

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"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."

"We have been using the open-source version."

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

"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."

"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."

More Elastic Observability pricing and cost advice

"Syslog-ng is open-source."

"Syslog-ng is a free open-source solution."

See which vendors are best for you

Use our free recommendation engine to learn which Log Management solutions are best for your needs.

See recommendations

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

Comms Service Provider

Outsourcing Company

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	3

Questions from the Community

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

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

See all answers

What is your primary use case for Elastic Observability?

My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.

See all answers

What needs improvement with syslog-ng?

See all answers

What is your primary use case for syslog-ng?

In Italy, we have to be compliant with the Garante for privacy. We have to log every login, logout, or login failure made by a system administrator. We store all syslog data of the infrastructure. ...

See all answers

What advice do you have for others considering syslog-ng?

When it comes to parsing, I can parse both structured and unstructured data, though our data are only structured. Currently, we collect all data we receive as raw data. Each file is stored for each...

See all answers

Comparisons

Splunk AppDynamics vs Elastic Observability

Compared 5% of the time

Dynatrace vs Elastic Observability

Compared 4% of the time

Grafana vs Elastic Observability

Compared 4% of the time

New Relic vs Elastic Observability

Compared 3% of the time

Datadog vs Elastic Observability

Compared 3% of the time

More Elastic Observability Competitors

SolarWinds Kiwi Syslog Server vs syslog-ng by One Identity

Compared 8% of the time

Graylog Enterprise vs syslog-ng by One Identity

Compared 7% of the time

Logstash vs syslog-ng by One Identity

Compared 5% of the time

Scribbler Log Manager vs syslog-ng by One Identity

Compared 4% of the time

Grafana Loki vs syslog-ng by One Identity

Compared 4% of the time

More syslog-ng by One Identity Competitors

Product Reports

Buyer's Guide

Elastic Observability

October 2026

Download Elastic Observability product report

Buyer's Guide

syslog-ng by One Identity

October 2026

Download syslog-ng by One Identity product report

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Syslog-ng is recognized for its proficiency in log extraction, storage, and secure TLS connections. Its efficient configuration and real-time monitoring integration make it a preferred option for large-scale log processing, ensuring compliance with regulatory standards.

Syslog-ng offers powerful log management capabilities, accommodating complex search needs while maintaining simplicity with user-friendly documentation and real-time monitoring features. The C-style configuration enhances readability, allowing users to easily comprehend and implement changes. Designed for high performance, Syslog-ng scales effectively to handle extensive logging demands. Despite its strengths, areas for improvement include integration with protocols and filtering methods. Users advocate for better Kafka integration and a graphical configuration interface to simplify setup. While historical dissatisfaction led to custom patches, subsequent updates have addressed these concerns. Currently, users seek an advanced version to access premium functionalities.

What are the most important features of syslog-ng?

Log Extraction and Storage: Streamlined processes for efficient data handling.
TLS-Supported Secure Connections: Ensures secure data transmission over networks.
Real-Time Monitoring Integration: Enhances proactive decision-making capabilities.
"C-Style" Configuration: Improves readability and simplifies setup for users.
High-Performance Log Processing: Supports large-scale environments with ease.

What benefits should users look for when evaluating syslog-ng?

Easy Configuration: Reduces time and complexity for initial setup and adjustments.
Compliance Assurance: Facilitates adherence to data regulations in Brazil and Italy.
Intuitive Examples and Documentation: Simplifies user training and onboarding.
Smooth Multi-Server Setups: Enables efficient deployment across multiple servers.

Organizations frequently use syslog-ng for log aggregation, filtering, and regulatory compliance, serving as a crucial component in enterprise security audits and data regulation adherence in Brazil and Italy. By allowing logs to be stored in raw format, syslog-ng provides versatility in data manipulation and user activity tracking, making it user-friendly for installation, maintenance, and updates. Logs can be transmitted over TLS or plain text to central servers, supporting varied transmission needs.

One Identity

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Tecnocom, University of Victoria, University of Exeter, Datapath

Buyer's Guide

Elastic Observability vs. syslog-ng by One Identity

September 2026

Free Report: Elastic Observability vs. syslog-ng by One Identity

Find out what your peers are saying about Elastic Observability vs. syslog-ng by One Identity and other solutions. Updated: September 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

See our Elastic Observability vs. syslog-ng by One Identity report.

See our list of best Log Management vendors.

We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.