

IBM Security QRadar and Amazon OpenSearch Service compete in the security and search analytics category. IBM Security QRadar is noted for its comprehensive suite approach, making it stand out with advanced features and integration capabilities, while Amazon OpenSearch Service excels with its scalable architecture and ease of use.
Features: IBM Security QRadar offers strong user behavior analytics, risk rating based on user behavior, and predefined condition blocks for real-time detection. Its machine learning, integration flexibility, and visualization tools add value. Amazon OpenSearch Service provides efficient search and retrieval capabilities, scalability, and a managed service environment with integration and customization options.
Room for Improvement: Users suggest IBM Security QRadar improve integration with modern tools, user-friendliness, and machine learning capabilities. Simplifying management configurations and reducing costs are also suggested. Amazon OpenSearch Service would benefit from better documentation for integration, more customization options, and support for cost-effective auto-scaling.
Ease of Deployment and Customer Service: IBM Security QRadar primarily requires on-premises and hybrid cloud deployment with varied quality of support. It leverages a strong global support infrastructure. Amazon OpenSearch Service facilitates public cloud deployments with a community-support model advantageous for self-management.
Pricing and ROI: IBM Security QRadar has high costs, especially for on-premises deployments, justified for its comprehensive features, with ROI realized through improved threat detection. Amazon OpenSearch Service offers a pay-per-use model that supports scalable needs, realizing ROI through cost savings from managed services and ease of deployment.
| Product | Market Share (%) |
|---|---|
| IBM Security QRadar | 3.6% |
| Amazon OpenSearch Service | 2.6% |
| Other | 93.8% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 89 |
| Midsize Enterprise | 38 |
| Large Enterprise | 105 |
Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.
Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.
What features define Amazon OpenSearch Service?Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.
IBM Security QRadar (recently acquired by Palo Alto Networks) is a security and analytics platform designed to defend against threats and scale security operations. This is done through integrated visibility, investigation, detection, and response. QRadar empowers security groups with actionable insights into high-priority threats by providing visibility into enterprise security data. Through centralized visibility, security teams and analysts can determine their security stance, which areas pose a potential threat, and which areas are critical. This will help streamline workflows by eliminating the need to pivot between tools.
IBM Security QRadar is built to address a wide range of security issues and can be easily scaled with minimal customization effort required. As data is ingested, QRadar administers automated, real-time security intelligence to swiftly and precisely discover and prioritize threats. The platform will issue alerts with actionable, rich context into developing threats. Security teams and analysts can then rapidly respond to minimize the attackers' strike. The solution will provide a complete view of activity in both cloud-based and on-premise environments as a large amount of data is ingested throughout the enterprise. Additionally, QRadar’s anomaly detection intelligence enables security teams to identify any user behavior changes that could be indicators of potential threats.
IBM QRadar Log Manager
To better help organizations protect themselves against potential security threats, attacks, and breaches, IBM QRadar Log Manager gathers, analyzes, preserves, and reports on security log events using QRadar Sense Analytics. All operating systems and applications, servers, devices, and applications are converted into searchable and actionable intelligent data. QRadar Log Manager then helps organizations meet compliance reporting and monitoring requirements, which can be further upgraded to QRadar SIEM for a more superior level of threat protection.
Some of QRadar Log Manager’s key features include:
Reviews from Real Users
IBM Security QRadar is a solution of choice among users because it provides a complete solution for security teams by integrating network analysis, log management, user behavior analytics, threat intelligence, and AI-powered investigations into a single solution. Users particularly like having a single window into their network and its ability to be used for larger enterprises.
Simon T., a cyber security services operations manager at an aerospace/defense firm, notes, "The most valuable thing about QRadar is that you have a single window into your network, SIEM, network flows, and risk management of your assets. If you use Splunk, for instance, then you still need a full packet capture solution, whereas the full packet capture solution is integrated within QRadar. Its application ecosystem makes it very powerful in terms of doing analysis."
A management executive at a security firm says, "What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value."
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