Elastic Stack Reviews

Name: Elastic Stack
Brand: Elastic
Rating: 3.9 (16 reviews)

3.9 out of 5

16 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 #12 ranked solution in Log Management Software. PeerSpot users give Elastic Stack an average rating of 7.8 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 849,686 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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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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SRIDHAR KARRA

Chief Operating Officer at Integra Micro Software Services, Bangalore

Elastic Stack is mainly used to monitor servers and APIs. It helps ensure the software's availability and sends notifications at the right time so the system is not down for a long time. The tool's stability and advanced features, such as anomaly detection, are the most valuable features. The benefit of using it is real-time monitoring.

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Elastic Stack mindshare

As of April 2025, the mindshare of Elastic Stack in the Log Management category stands at 5.1%, up from 0.9% 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	Apr 30, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 30, 2025	Download
Comparison	Elastic Stack vs Wazuh	Apr 30, 2025	Download
Comparison	Elastic Stack vs Splunk Enterprise Security	Apr 30, 2025	Download
Comparison	Elastic Stack vs Datadog	Apr 30, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	15.0%	79%	46 interviews Add to research
Dynatrace	4.4	5.2%	95%	346 interviews Add to research

Valuable Features

Elastic Stack is valued for its ease of implementation, robust search capabilities, machine learning features, and real-time monitoring. Users appreciate its archiving and anomaly detection, efficient integration, and strong security through Elastic Defense. Its ease of learning, scalability, and open-source nature enhance user support. Elastic Stack excels in data management, log searching, and alerting, making it highly efficient in diverse environments across enterprises, academics, and security specialists.

"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."
"Elastic Stack has made a positive impact as we can now see our logs."

Room for Improvement

Elastic Stack users highlight the need for improved dashboards, integration processes, and search capabilities. Some find licensing and pricing problematic, and many seek enhancement in AI, automation, and support. The tool could benefit from easier configurations, stronger network detection, and better third-party integrations. Users report difficulties with agent deployment on-premises and note improvements are needed in documentation, compatibility, and error analysis. The push for simplified features and AI integration forms a common theme in user feedback.

"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."
"The stability of the solution is rated as three or four out of ten as we frequently encounter issues."

Pricing

Enterprise users report varied experiences with Elastic Stack pricing. Many benefit from the cost-saving open-source version, while others find the product reasonably priced compared to competitors like IBM QRadar SIEM and ArcSight. Some note that the overall cost depends on capacity planning and chosen plans, with Elastic generally seen as economical for specific use cases. Ratings of pricing affordability range from five to seven out of ten, highlighting differing perceptions on its expense.

"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

Organizations primarily use Elastic Stack for log management, observability, and security monitoring. It aids in indexing, search functionality, and integration with security solutions like SIEM and SOC. Users utilize it for advanced searches, Application Performance Monitoring, and data visualization. Elastic Stack supports DevOps by streamlining workflows and enhancing threat analysis. Additionally, it serves as a backend information system for teams, helping in log monitoring and database management across various projects and industries.

Service and Support

Elastic Stack customer service is generally responsive with knowledgeable support managers. Many find technical assistance adequate, with helpful online forums and community support that often provides faster aid. Some encounter difficulties in ticket resolutions and response time, rating it below satisfactory. Community resources are valued, but dependency on intermediary companies and reaction time are concerns. Expertise in Elastic Stack's domain is crucial for troubleshooting, suggesting a need for streamlined support processes.

Deployment

Users find Elastic Stack's setup generally easy, often completing it quickly with comprehensive documentation and videos aiding the deployment. Some report the process straightforward yet complex in certain configurations like the buffer, especially for beginners. With AI and cloud services, setup can be expedited, particularly with scripting. Although some challenges persist without prior knowledge or domain expertise, experienced users handle deployment and maintenance efficiently, whether on-premise or cloud-based, with varying experiences influenced by individual skill levels.

Scalability

Elastic Stack is considered highly scalable by many, with ratings often between eight and ten out of ten. Users praise its ability to scale logs easily, although some mention that scalability can depend on configuration and usage by teams. Larger enterprises or enterprises with complex needs might require careful planning and management of resources. Some appreciate its capabilities compared to alternatives like LogRhythm or ArcSight, while others note room for improvement in automation features.

Stability

Elastic Stack exhibits varied stability perceptions. While many find it stable, rating it between six to nine out of ten, others experience issues like downtime and glitches, rating it as low as three to four. Stability is often linked to server quality and the complexity of cluster management. Some users fine-tune it to meet specified parameters, achieving high performance, but experiences differ depending on the equipment and features utilized.

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

Manufacturing Company

Government

University

Educational Organization

Healthcare Company

Energy/Utilities Company

Media Company

Retailer

Construction Company

Outsourcing Company

Non Profit

Hospitality Company

Insurance Company

Real Estate/Law Firm

Wholesaler/Distributor

Consumer Goods Company

Legal Firm

Transportation Company

Aerospace/Defense Firm

Pharma/Biotech Company

Performing Arts

Logistics Company

Training & Coaching Company

Recreational Facilities/Services 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.