Elastic Stack Reviews

Name: Elastic Stack
Brand: Elastic
Rating: 3.9 (15 reviews)

3.9 out of 5

15 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 #14 ranked solution in Log Management Software. PeerSpot users give Elastic Stack an average rating of 7.8 out of 10. Based on the analysis of the 15 most recent Elastic Stack reviews, the overall sentiment is positive, with a sentiment score of 6.0. (Among the lowest in the category). 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 13% of all views.

Helped 824,053 peers since 2012

Featured reviews

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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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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Elastic Stack mindshare

As of December 2024, the mindshare of Elastic Stack in the Log Management category stands at 4.0%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Log Management

PeerAnalyst reports

Type	Title	Date
Category	Log Management	Dec 21, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 21, 2024	Download
Comparison	Elastic Stack vs Splunk Enterprise Security	Dec 21, 2024	Download
Comparison	Elastic Stack vs Wazuh	Dec 21, 2024	Download
Comparison	Elastic Stack vs Datadog	Dec 21, 2024	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	17.0%	79%	45 interviews Add to research
Dynatrace	4.4	5.6%	95%	344 interviews Add to research

Valuable Features

Elastic Stack is valued for ease of implementation, powerful search capabilities, and security features like automatic analysis and detection. It excels in real-time monitoring, archiving, and log management, offering fast retrieval and integration flexibility. Users appreciate the search engine's speed, anomaly detection, and open-source nature. Its machine learning capabilities, agents for easy integration, and flexible deployment options make it a strong choice for log searching, security monitoring, and data management across environments.

"Elastic Stack has made a positive impact as we can now see our logs."
"The only beneficial aspect of Elastic Stack is that it's open source."
"It supports various integrations. It's open source and has excellent community support."

Room for Improvement

Elastic Stack requires enhancements in dashboard implementation, data integration, network detection, and response capabilities. Licensing changes present compatibility issues. AI-driven features for issue resolution and ML models would be beneficial. SOAR and TIP functionalities, along with improved automation and support, are needed. Search capabilities and indexing performance require refinement, particularly for large data volumes. Pricing for training and certification is high, and integration with security controls needs improvement. Documentation and error codes should be clearer.

"The stability of the solution is rated as three or four out of ten as we frequently encounter issues."
"It should facilitate easier manual integration."
"There could be better documentation."

Pricing

Enterprise users find Elastic Stack pricing varies significantly depending on the version and service choices. Many benefit from the cost-effectiveness of the open-source version. While some perceive the licensed version as expensive, others find it competitively priced compared to market alternatives like IBM QRadar and LogRhythm. Cost considerations often center around the chosen plan and capacity planning within organizations. Elastic Stack provides some free modules, enhancing its value proposition for certain use cases.

"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 use Elastic Stack for log management, observability, threat analysis, SIEM, and SOC tasks. It supports integrations with CloudStrike and Endpoint Security while aiding log visualization and indexing. Elastic enhances security, manages data lakes, and facilitates search capabilities, including FDA databases in healthcare projects. Used as a database and for logging, it serves as a backend, supports DevOps workflows, and enables advanced search, Application Performance Monitoring, and daily log monitoring in various environments.

Service and Support

Customers have mixed experiences with Elastic Stack's customer service and support. Many find the technical support team responsive and helpful, however, some have faced unresolved issues or prolonged response times. Community forums and the Slack community are viewed positively. A number report faster assistance through community resources rather than direct support, while others note lengthy intermediary processes. Some organizations have not interacted with support at all. Overall, technical support is generally considered knowledgeable but with room for improvement in response efficiency.

Deployment

Elastic Stack's initial setup is generally straightforward and easy for users familiar with it, aided by thorough documentation and videos. Cloud deployment is common, often using AWS. The setup can be completed in a short time with some users employing automation tools like Docker and Terraform. Although easy for technical teams, the configuration can be complex for beginners. Experience in data flow management may be necessary, especially for log management tasks.

Scalability

Elastic Stack showcases notable flexibility, enabling users to scale efficiently. Ratings range from eight to ten, though some express concerns about manual configuration and resource requirements. When efficiently utilized, it competes well with LogRhythm and ArcSight. Users appreciate its native scaling features, auto-scaling potential via Kubernetes, and a necessity to manage data flow through different tiers. Elastic Stack adapts to various workloads and user scales, affirming its applicability across enterprises of varying sizes.

Stability

Elastic Stack stability is mostly rated positively, with users often giving ratings between six to nine out of ten. Some users report encountering issues, rating stability as low as three or four due to server restrictions, downtime, or glitches. While many users find it quite stable, noting no lag and good adaptability via best practices, some find administrative tasks and cluster management challenging as their companies grow.

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

13%

Financial Services Firm

12%

Comms Service Provider

Government

Manufacturing Company

University

Educational Organization

Healthcare Company

Media Company

Construction Company

Energy/Utilities Company

Outsourcing Company

Retailer

Non Profit

Hospitality Company

Insurance Company

Consumer Goods Company

Wholesaler/Distributor

Legal Firm

Transportation Company

Pharma/Biotech Company

Real Estate/Law Firm

Aerospace/Defense Firm

Logistics Company

Marketing Services Firm

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.