Elastic Stack Reviews

Name: Elastic Stack
Brand: Elastic
Rating: 4.0 (17 reviews)

4.0 out of 5

17 reviews
100% willing to recommend

What is Elastic Stack?

Elastic Stack is a comprehensive tool for log management, observability, indexing, and security, widely adopted for managing logs, alert creation, SIEM, SOC, and threat analysis. It integrates with CloudStrike and Endpoint Security, enhancing search capabilities and Application Performance Monitoring.

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Elastic Stack is the #11 ranked solution in Log Management Software. PeerSpot users give Elastic Stack an average rating of 8.0 out of 10. Elastic Stack is most commonly compared to Wazuh: Elastic Stack vs Wazuh. Elastic Stack is popular among the large enterprise segment, accounting for 53% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 14% of all views.

Helped 856,873 peers since 2012

Featured Elastic Stack reviews

Balamurali P

Solution Architect at a tech consulting company with 501-1,000 employees

Elastic Stack should be more simplified with ready-to-use widgets. Also, incorporating AI capabilities is essential as monitoring and observability tools are now adding AI features. Ideally, it should evolve into a full-stack observability tool, similar to AppDynamics or DynaTrace, which offers a solution that includes ISP provider, API monitoring, and infrastructure monitoring.

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Charan Teja Sana

Senior Consultant at HGS - Hinduja Global Solutions

Elastic Stack provides such capabilities, reducing the mean time needed to detect compared to other tools. The significant versions might be compatible since our products depend on some features. If you want to invest in Elastic Stack, you can start with a paid subscription instead of going open source. Overall, I rate the solution a seven out of ten.

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Mahesh Ramichetty

Senior Solution Architect at a consultancy with 11-50 employees

Elastic Stack provides all sorts of things, so it provides Elasticsearch for the transformations into a specific format, and pipelines can be defined for distributed applications along with the logs that come in the JSON format, which is clean. It's only the enhancements or the security that the product lacks and needs to be enhanced. I don't think further enhancement of the features needs to be added to the solution because it is already equivalent to a monitoring or alerting system, like Dynatrace and other tools. Some developments in the area of AI, which Elastic Stack is currently working on, should be fine in terms of the enhancements. Whenever some critical issue happens, there should be some kind of a co-pilot that helps resolve the issue. The tool should learn from its own previous issues. If you take Databricks, you see that it provides a co-pilot for Python, so a similar kind of development in Elastic Stack would be a real asset for it. AI would be considered a good way to enable the tool further for more in 2024, and even a beta launch would be helpful. If you take any sort of cloud-native monitoring product, like Azure Monitor or AWS CloudWatch, you see that such products don't provide much of the insights. If you go with Azure Monitor for any sort of ML models to be there, Sentinel needs to be used from Azure, which is very costly. AI-enablement would be a big improvement in Elastic Stack. Everyone in the monitoring space, including Dynatrace and New Relic, has lately been discussing AI, but it doesn't seem to be coming out. If there is room for an ML model in Elastic Stack, then it would be good.

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Elastic Stack mindshare

As of June 2025, the mindshare of Elastic Stack in the Log Management category stands at 5.4%, up from 1.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Log Management

PeerResearch reports based on Elastic Stack reviews

Type	Title	Date
Category	Log Management	Jun 15, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 15, 2025	Download
Comparison	Elastic Stack vs Wazuh	Jun 15, 2025	Download
Comparison	Elastic Stack vs Splunk Enterprise Security	Jun 15, 2025	Download
Comparison	Elastic Stack vs Datadog	Jun 15, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	14.4%	80%	48 interviews Add to research
Dynatrace	4.4	5.0%	95%	347 interviews Add to research

Valuable Features

Elastic Stack offers ease of implementation, robust search capabilities, anomaly detection, machine learning, and real-time monitoring. Its integration with cloud and on-premises systems is efficient. It provides auto-analysis, effective security features, and diverse integrations. Users appreciate the open-source nature and strong community support. Elastic Agent simplifies deployment with out-of-the-box integrations for various systems. Its archiving, alerting system, and indexing capabilities enhance data management and analytical prowess. Users find it easy to scale and learn.

"The centralized logging capabilities of Elastic Stack have helped me streamline my logging processes significantly because there are many open-source tools available, such as Filebeat and Logstash, to collect the logs."
"It is an excellent tool for monitoring purposes."
"The scripting model in Elastic Stack allows me to query logs and then put the data into Grafana."

Room for Improvement

Elastic Stack needs improved integration with diverse data sources and enhanced dashboard functionality. Licensing issues create compatibility challenges. Its pricing and certification costs are considered high. Users seek better search performance, AI features, and simplified configurations. Indexing complexity and slow query executions affect its speed. There are demands for improved automation, user support, and documentation. Enhanced security integration and expanded SIEM capabilities would align with competitors offering SOAR and TIP tools.

"While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second."
"Elastic Stack should be more simplified with ready-to-use widgets. Also, incorporating AI capabilities is essential as monitoring and observability tools are now adding AI features."
"Elastic Stack should be more simplified with ready-to-use widgets."

Pricing

Elastic Stack offers a range of pricing experiences among enterprise users. Some choose the open-source version for its cost-free advantage, while others find Elastic economical for specific use cases, often dependent on capacity planning and licensing choices. Comparatively, Elastic Stack is priced competitively against offerings from IBM, LogRhythm, and ArcSight. Pricing models vary, with Elastic Cloud providing a cost-effective entry point. However, pricing perceptions vary, with some rating it as moderately expensive.

"I rate the solution's pricing a six out of ten."
"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."

Popular Use Cases

Elastic Stack is used for log management, observability, SIEM, and SOC. Users leverage its capabilities for threat analysis, advanced search, and Application Performance Monitoring. It integrates with security solutions and supports data lakes. Many apply Elastic Stack to enhance DevOps workflows, engage in complex searches, and maintain compliance with security certifications. Its flexibility in deployment suits diverse organizational needs, from cloud to on-premises infrastructure.

Service and Support

Elastic Stack customer service is mixed. Responses are quick for some teams, while others face delays. Community help is often faster than official channels. Some find the response time inadequate, with unresolved issues. Enterprise clients get prioritized responses. Technical support knowledge is generally positive but depends on the user agreements. The reliance on community input is common, but users find support quality varies, emphasizing a need for expertise in Elastic Stack.

Deployment

Elastic Stack's initial setup is often described as easy and straightforward, facilitated by extensive documentation and video resources. Users found cloud deployments efficient, often completing the process in under a day. However, some noted complexity in configuring buffers and maintaining DevOps tasks, especially for beginners. Familiarity with Elastic Stack and domain knowledge improve efficiency. Many utilize cloud options due to convenience, though preferences for on-premise setups vary based on specific needs.

Scalability

Elastic Stack is rated highly for scalability, with users noting its capability to handle large datasets and frequent requests. While some mention dependencies on correct initial sizing and configuration, many appreciate its expansion options and clustering capabilities. It is often compared favorably to other systems like LogRhythm, citing fewer issues with large-scale implementations. Users experience varying scalability based on infrastructure use, yet it is often praised for its adaptability in growing environments.

Stability

Users generally find Elastic Stack stable, with many rating stability between seven and nine out of ten. Some mention occasional glitches, downtime, or challenges in cluster management, particularly as their organizations grow. Stability seems dependent on hardware capability, with weaker servers causing restrictions. Techniques and best practices can enhance stability, allowing smooth operation. Compared to other tools like LogRhythm or ArcSight, Elastic Stack's stability often scores higher, though it varies based on specific feature use.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Elastic Stack Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

10%

Comms Service Provider

Government

Manufacturing Company

University

Educational Organization

Healthcare Company

Energy/Utilities Company

Media Company

Retailer

Construction Company

Hospitality Company

Outsourcing Company

Non Profit

Real Estate/Law Firm

Insurance Company

Legal Firm

Wholesaler/Distributor

Performing Arts

Consumer Goods Company

Aerospace/Defense Firm

Transportation Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Compare Elastic Stack with alternative products

Learn more about Elastic Stack

Elastic Stack offers powerful solutions for logging, data storage, and visualization with Kibana. It allows MSSPs to efficiently manage security and assists companies with data analysis. It's known for its easy implementation, scalability, real-time monitoring, and extensive integrations. The open-source nature and community support add significant value, making it a popular choice across industries. While highly capable, there is a need for enhancement in dashboard implementation, data integration, and certain advanced features. Licensing, compatibility, and cost-related improvements can further elevate its efficacy.

What are the key features of Elastic Stack?

Powerful Search Capabilities: Offers robust, efficient searching across vast datasets
Scalability: Easily handles large volumes of data
Anomaly Detection: Identifies irregular patterns in data
Machine Learning: Enhances data analysis with intelligent insights
Real-Time Monitoring: Provides up-to-date monitoring of applications and systems
Extensive Integration: Supports diverse tools and solutions

What benefits should users consider?

Ease of Implementation: Quick setup and integration into existing systems
Robust Security: Comprehensive monitoring and analysis capabilities
Community Support: Ongoing improvements and guidance from a dedicated community
Hybrid Deployment: Flexibility in using both cloud and on-premise solutions

In healthcare, Elastic Stack enhances database search capabilities, aiding in patient record management and data retrieval. Managed Security Service Providers use it for comprehensive security management, integrating it with tools like firewalls and authentication systems. Companies benefit from its application in Application Performance Monitoring and its flexibility in adapting to hybrid environments.