What are the key differences between Logmanager and Graylog? Logmanager and Graylog differ in a few concrete ways: operational model, pricing structure, time to value and configuration approach. Operational model. Graylog runs as a distributed system of separate components (a Graylog server, an OpenSearch/Data Node search backend, and MongoDB, at least two servers even in its simplest setup) that you have to size, secure, and upgrade yourself, while Logmanager runs as a single appliance that a lean IT team can operate without a dedicated log engineer. Pricing structure. Logmanager publishes a self-serve, per-GB-stored rate you can see and buy against directly; Graylog’s paid tiers are quote-based by daily volume or annual consumption, with Enterprise starting at $15,000/year and Security at $18,000/year, no published per-unit rate to self-serve against. Time to a working setup. Logmanager ships with 140+ prebuilt parsers and predefined dashboards, deployable in about 30 minutes, while Graylog’s dashboards, parsers, and pipelines are built after install rather than shipped ready to use. Configuration approach. Logmanager uses a no-code visual builder (Blockly) for custom rules and parsing, while Graylog customization runs through its own query language.
What it takes to move from Graylog to Logmanager? Moving from Graylog to Logmanager isn’t a data migration in the traditional sense. Your log sources carry over as-is: you repoint them at Logmanager (source type, IP, destination port), and its 140+ prebuilt parsers cover most common source types automatically, so data starts flowing without building parsing from scratch. What doesn’t carry over are your Graylog-specific artifacts, streams, pipelines, saved dashboards, alert rules, since those live inside Graylog’s own configuration; you rebuild that layer in Logmanager, faster than it sounds given the predefined dashboards and no-code Blockly builder do most of that work for you. On timeline: The virtual appliance can be deployed in approx. 30 minutes, but the full installation, getting first sources onboarded and confirmed, takes 2 to 3 hours, plus another 1 to 2 hours of follow-up configuration (see our proof of concept guide). That’s a realistic number, though it naturally scales with how many sources you’re onboarding and how much customization you need.
Is Logmanager a full replacement for Graylog Security? No, and it’s worth saying plainly rather than overselling it: Logmanager is a log management tool, not a full security operations platform. It has security features, such as the ability to build rules and thresholds for detecting and alerting on unwanted activity, and offers log-level visibility for investigations. However, it deliberately doesn’t include correlation, SIEM, SOAR, or automated response capabilities. If your team needs full incident-response automation and orchestration, a dedicated security platform like Graylog Security is the better fit. Logmanager is built for teams whose real needs are centralized, searchable log management, IT compliance, and solid baseline security alerting, not a full SOC toolset.
How can Logmanager be deployed? You can get Logmanager as a self-hosted virtual appliance or as a managed cloud service. Prebuilt VA images for self-hosted deployments are available for VMware, Hyper-V, and Proxmox, so you can get up and running quickly without complex setup or manual configuration.
How does Logmanager ensure the security of my business data? Logmanager is a hardened appliance that ensures the confidentiality and integrity of data. It prevents any manipulation, deletion, or alteration of logs (SSH is not running on the appliance, so access to the operating system is restricted). Additionally, Logmanager secures data during transfer, uses secure storage mechanisms, and provides role-based access control to enhance strict security measures.
How does the free log management plan work? Basically, you can tap into the Logmanager free tier and enjoy a full-featured log management solution. The only limit is 100 GB of supported log storage, which gives you plenty of space to start collecting and analyzing data right away. Once this limit is reached, the system automatically manages your data by overwriting the oldest entries with new ones. This ensures that you always have access to the most recent log data without having to manually clear space or adjust settings.
