Elastic Observability vs syslog-ng comparison

Elastic and One Identity are both solutions in the Log Management category. Elastic is ranked #14 with an average rating of 9.0, while One Identity is ranked #15 with an average rating of 10.0. Elastic holds a 1.3% mindshare in Log Management, compared to One Identity’s 1.6% 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

9,301 Views
2,325 Comparison Views

88% willing to recommend

syslog-ng

Read 7 syslog-ng reviews

3,484 Views
3,484 Comparison Views

100% willing to recommend

Elastic Observability

syslog-ng

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Syslog-ng and Elastic Observability compete in log management and analytics. Elastic Observability appears to have the upper hand due to its comprehensive features.

Features: Syslog-ng is known for robust message filtering, forwarding capabilities, and high flexibility. Elastic Observability provides extensive integration with various data sources, powerful search functionalities, and superior visualization tools.

Room for Improvement: Syslog-ng requires better integration options, enhanced scalability, and improved configuration processes. Elastic Observability needs enhancements in alerting capabilities, resource consumption efficiency, and further refinement in platform updates.

Ease of Deployment and Customer Service: Syslog-ng offers straightforward deployment, although the configuration can be demanding. Elastic Observability has a complex setup but offers superior customer support and comprehensive documentation to ease deployment challenges.

Pricing and ROI: Syslog-ng features low setup costs, appealing to budget-conscious buyers. Elastic Observability, despite higher initial costs, delivers better ROI over time due to its extensive features and scalability, justifying the investment for long-term value.

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

Buyer's Guide

Elastic Observability vs. syslog-ng

April 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

Elastic Observability

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (10th), IT Infrastructure Monitoring (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)

syslog-ng

Ranking in Log Management

15th

Average Rating

9.0

Reviews Sentiment

3.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of Elastic Observability is 1.3%, down from 1.5% compared to the previous year. The mindshare of syslog-ng is 1.6%, down from 2.6% 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	1.6%
Other	97.1%

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.

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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

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

"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."

"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"I think Elastic Observability is already in very good shape."

"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."

"It's easy to deploy, and it's very flexible."

"It is scalable and supports multitenancy, which is beneficial for MSPs."

More Elastic Observability pros

"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 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."

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

"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."

"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."

"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

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"I would advise others to use a different solution than Elastic APM."

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

"They need more skills in the market. There are not enough skills in the market."

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."

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."

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

"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."

"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."

Pricing and Cost Advice

"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 will buy a premium license after POC."

"Pricing is one of those situations where the more you use it, the more you pay."

"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."

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

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

"The price of Elastic Observability is expensive."

"The product is not that cheap."

More Elastic Observability pricing and cost advice

"Syslog-ng is open-source."

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

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886,719 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

Government

11%

Financial Services Firm

10%

Manufacturing Company

Computer Software Company

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 ...

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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,...

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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?

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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. ...

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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

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Compared 12% of the time

Grafana Loki vs syslog-ng

Compared 6% of the time

Cribl vs syslog-ng

Compared 6% of the time

Elastic Stack vs syslog-ng

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Product Reports

Buyer's Guide

Elastic Observability

April 2026

Download Elastic Observability product report

Buyer's Guide

syslog-ng

March 2026

Download syslog-ng 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

Optimizing SIEM
syslog-ng is the log management solution that improves the performance of your SIEM solution by reducing the amount and improving the quality of data feeding your SIEM.

Rapid search and troubleshooting
With syslog-ng Store Box, you can find the answer. Search billions of logs in seconds using full text queries with Boolean operators to pinpoint critical logs.

Meeting compliance requirements
syslog-ng Store Box provides secure, tamper-proof storage and custom reporting to demonstrate compliance.

Big data ingestion
syslog-ng can deliver data from a wide variety of sources to Hadoop, Elasticsearch, MongoDB, and Kafka as well as many others.

Universal log collection and routing
syslog-ng flexibly routes log data from X sources to Y destinations. Instead of deploying multiple agents on hosts, organizations can unify their log data collection and management.

Secure data archive
syslog-ng Store Box provides automated archiving, tamper-proof encrypted storage, granular access controls to protect log data. The largest appliance can store up to 10TB of raw logs.

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

April 2026

Free Report: Elastic Observability vs. syslog-ng

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

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