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| Product | Market Share (%) |
|---|---|
| syslog-ng | 1.8% |
| Humio Log Management for IBM Cloud Paks | 0.2% |
| Other | 98.0% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 3 |
Humio Log Management for IBM Cloud Paks is a comprehensive solution that allows organizations to effectively manage and analyze logs for improved operational efficiency and troubleshooting.
With enhanced search capabilities, real-time monitoring and analysis, robust data visualization, seamless integration with various platforms, and efficient data retention capabilities, users can easily locate specific logs, gain valuable insights, make informed decisions, and efficiently manage large volumes of logs.
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.
