

Syslog-ng and Amazon OpenSearch Service compete in data management and log analysis. Amazon OpenSearch Service has the upper hand due to its robust feature set, despite Syslog-ng being favored for its pricing and support.
Features: Syslog-ng offers reliable log collection, processing, and easy access to various data sources. Its configuration is user-friendly, with C-style configs that are simple to understand. Additionally, it integrates with multiple solutions for real-time monitoring. Amazon OpenSearch Service provides advanced analytics, scalability, and efficient integration within AWS, supporting powerful search and analytics tasks with ease.
Room for Improvement: Syslog-ng could benefit from enhanced analytics capabilities and a more straightforward scaling process. Improved documentation for complex deployments and direct SIEM functionalities would also be beneficial. Amazon OpenSearch Service could increase cost flexibility and offer more competitive pricing options. Enhancements in customer interaction and streamlined integration with non-AWS services would also improve its offering.
Ease of Deployment and Customer Service: Syslog-ng offers straightforward deployment options with good support, efficiently addressing technical challenges. Amazon OpenSearch Service enhances deployment within AWS, providing comprehensive support, but it could expand direct customer engagement to ensure personalized assistance.
Pricing and ROI: Syslog-ng typically incurs a lower setup cost, delivering quick ROI through flexible implementation. Amazon OpenSearch Service requires a higher initial investment but promises considerable ROI through advanced analytics and inherent AWS scaling capabilities. The pricing and ROI aspect highlights Syslog-ng's cost-effectiveness against Amazon OpenSearch Service's extensive feature benefits.
| Product | Market Share (%) |
|---|---|
| syslog-ng | 2.0% |
| Amazon OpenSearch Service | 2.4% |
| Other | 95.6% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 3 |
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.
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.
We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.