Prometheus vs Zabbix: which fits your estate
Prometheus fits metrics-first, cloud-native estates, and Zabbix fits mixed estates that need agents, templates and SLA-style reporting on servers and network devices. Both are open source and both can run in your own infrastructure, so the choice turns on what you monitor, who runs the tool and how alerts and history must be kept. Licensing and LTS support then act as tie-breakers rather than the main driver. Prometheus is Apache-2.0 with no paid edition of the project itself, while Zabbix moved to AGPL-3.0 starting with 7.0 and sells support subscriptions rather than a paid edition.
Start by inventorying the targets. If most of the estate is Kubernetes workloads and HTTP-exposed services that can be scraped, Prometheus's pull model and PromQL match how those systems expose data. If you also run hypervisors, Windows and Linux servers, switches and firewalls that need agent or SNMP-style templates, a per-host SLA view and a single web UI for operators, Zabbix covers that ground with fewer custom parts. Confirm with your team which data sources need agents, which can be scraped, and whether any requirement is for 100% accuracy, since the Prometheus docs say it is not the right tool for that case.
Then check the operating model. Local Prometheus storage is not clustered or replicated, so long-term history and high availability usually mean adding remote write to external storage, and Alertmanager should be run as a cluster with Prometheus pointed at every instance. Zabbix server offers native HA with a shared database and a failover delay you configure, and its 7.4 server stores data in MySQL, MariaDB or PostgreSQL. Ask your Zabbix support tier and LTS dates before you commit, and confirm the database versions you are allowed to run. Zabbix life cycle and release policy and the Prometheus release cycle set out the support windows to compare.
Which scenario favors Prometheus and which favors Zabbix
This table maps common estate shapes to the platform that usually fits better and the condition that decides it. Read each row as a starting point: the deciding factor is often the team's skills and how much of the estate exposes metrics natively, not the tool alone.
| Scenario | Better fit | Condition that drives the choice |
|---|---|---|
| Kubernetes-first platform team | Prometheus | Workloads already expose /metrics endpoints and service discovery follows the cluster. Zabbix can monitor Kubernetes too, but the team must be comfortable with PromQL and the Prometheus alerting model. |
| Mixed estate of VMs, bare metal and network switches | Zabbix | Hosts and network devices need agents, SNMP or templated discovery across many device types. Prometheus can scrape exporters on these systems, but each device class adds exporter deployment and maintenance work. |
| Team that wants agent-based templates out of the box | Zabbix | Zabbix ships templates, a web UI for hosts and triggers, and low-code setup for common infrastructure. A team that prefers writing configuration as code and building its own dashboards may find Prometheus more natural. |
| Service team that needs custom application metrics | Prometheus | Developers instrument code with client libraries and query labeled time series with PromQL. Zabbix can receive custom items, but modeling high-cardinality, label-rich metrics is less direct in its data model. |
| Team that must produce SLA-style reports | Zabbix | Zabbix includes SLA reporting aimed at availability of services and hosts. If reports must be built from request-level data or external sources, Prometheus with a reporting layer may fit, and the team should confirm how the report is validated. |
| Small team with limited monitoring experience | Depends on skills | Zabbix's web UI and templates reduce early setup work for generalist operators. Prometheus rewards engineers who can design scrape configs, recording rules and alerts, and it needs a plan for local storage retention. |
| Estate needing high availability for the monitoring server | Depends on design | Zabbix provides a native server cluster sharing one database, with failover after a configurable delay. Prometheus local storage is not clustered or replicated, so the team usually adds redundant instances and a long-term storage layer. |
| Strict requirement for 100% accurate per-event counts | Neither alone | Prometheus documentation says it favors reliability over precision and is not suited to per-request billing. Confirm whether a separate accounting or event pipeline is required before choosing either platform for that purpose. |
| Organization that needs no license fee and an AGPL-compatible stack | Depends on policy | Both projects are AGPL-3.0 or Apache-2.0 under their current licenses, and Zabbix states it has no license fee or feature gates. Legal review should confirm how AGPL terms apply to your deployment and any modifications. |
How Prometheus and Zabbix are built and what that means for operations
Prometheus and Zabbix both watch infrastructure, but they collect, store and protect data in different ways. The differences show up later as backup routines, failover behavior and the number of components your team must run and patch.
Pull collection versus agent and proxy checks
Prometheus scrapes metrics over HTTP from targets found through service discovery or a static list, and it uses a push gateway only for short-lived jobs. Zabbix relies on agents running on hosts, with passive and active checks, and can place proxies at remote sites to collect on its behalf. Check whether your network allows inbound scrapes to every target or whether outbound agent traffic and proxies fit your segmentation better. Confirm how many proxies you need per site before you commit to a layout.
Local time series storage in Prometheus
Prometheus writes samples to a local time series database organized into two-hour blocks, with a write-ahead log behind them. The storage documentation says local storage is not clustered or replicated, so each Prometheus server should be managed like any other single-node database. Plan disk sizing and retention for each server, and decide early whether long-term data goes to remote write storage.
Zabbix server database as the system of record
The Zabbix server stores configuration and history in MySQL, MariaDB or PostgreSQL, with optional TimescaleDB for history. Your backup and restore routine therefore centers on one relational database, and its growth, purge settings and index maintenance drive day-two work. Ask your database team how they will back up, restore and size that database, and whether they already run MySQL, MariaDB or PostgreSQL skills in house.
Alertmanager clustering for Prometheus
Prometheus high availability depends on running several servers that scrape the same targets, plus an Alertmanager cluster that groups, silences and routes alerts. Prometheus should send alerts to every Alertmanager instance rather than through a load balancer. Test what happens when one Prometheus server or one Alertmanager node fails, and confirm that your paging path still fires.
Zabbix server failover and proxy groups
Zabbix server high availability runs several nodes against one shared database, with one active node and the others on standby. Failover starts when the active node exceeds a failover delay that you configure between 10 seconds and 15 minutes. From Zabbix 7.0, proxy groups redistribute monitored hosts when a proxy goes offline. Decide whether the shared database, not the server nodes, is your real single point of failure, and test a failover with your own delay setting.
Who owns backups and restores
With Prometheus, backup means snapshots of each server's local data, or relying on remote write copies for history, so each node needs its own recovery plan. With Zabbix, one database backup covers most configuration and history, but it grows with every monitored item. Write down which system is the source of truth for each metric, and who restores it when a disk or database fails.
Prometheus vs Zabbix on licensing, storage, HA and extensibility
This table compares Prometheus and Zabbix on license, release support, collection model, data store, query language, alerting, high availability, identity and paid support. Read each row against your estate: Prometheus suits cloud-native metrics, while Zabbix suits agent-based monitoring of servers and network devices.
| Capability | Prometheus | Zabbix |
|---|---|---|
| License | Apache-2.0. No paid enterprise edition of the project itself, so cost comes from infrastructure, storage, implementation and staff. | AGPL-3.0 from version 7.0 onward (GPL-2.0 up to 6.4). No license fee, no device limits and no feature gates. |
| Latest releases and LTS support | Prometheus 3.15.0 released September 25, 2026. LTS 3.13 released July 1, 2026, supported until July 31, 2027. LTS releases get bug fixes for one year. | 7.0 LTS released June 4, 2024, full support until June 30, 2027. 8.0 LTS planned for Q4 2026. LTS releases get five years of support, three full and two limited. |
| Collection model | Pulls metrics over HTTP from discovered or static targets. Short-lived jobs push through a gateway. | Agent-based and agentless checks for servers and network devices, configured through templates and a web UI. |
| Data store | Local time series database in two-hour blocks, 15-day default retention. Not clustered or replicated, so long-term storage uses remote write to external systems. | Server stores data in MySQL, MariaDB or PostgreSQL, with optional TimescaleDB. SQLite is supported only for proxies. |
| Query language | PromQL. | Built-in item, trigger and report views in the web interface. Confirm the reporting and SLA features your team needs in the current documentation. |
| Alerting component | Alertmanager handles grouping, inhibition and silences. Prometheus should point at every Alertmanager instance. | Triggers and actions are built into the server. Confirm notification channels in your version's documentation. |
| High availability | Run redundant Prometheus servers yourself. Alertmanager has its own cluster mode. Each instance stores its own data. | Native server HA cluster: several nodes share one database, one active node, failover after a delay of 10 seconds to 15 minutes. |
| Distributed collection | Achieved with multiple scrapers, federation or external components. Plan this in your design. | Proxies, with proxy groups from version 7.0 that redistribute hosts when a proxy goes offline. |
| Templates or exporters for devices | Exporters for each target type, maintained by the community. Confirm coverage for your device models. | Templates ship for servers, network and other device classes. Confirm template coverage for your specific hardware. |
| Identity and authentication | The supplied facts do not detail Prometheus access control. Confirm the approach for your reverse proxy, network controls and API access in your own design. | Documents its authentication options in the web interface. Confirm the method (internal, LDAP or SAML) in your version's authentication documentation. |
| Paid support options | No vendor-paid edition. Support comes from your own staff, implementation partners or the community. | Paid technical support tiers from Silver (8x5, 1 day response) to Global (24x7, 1 hour response). Software use is free. |
What is free and what is paid in each platform
Prometheus is licensed under Apache-2.0, and there is no paid enterprise edition of the project itself. That means the license cost is zero, and your spending goes to the infrastructure that runs it, the storage that holds its data, the work of implementing it and the people who operate it. Prometheus stores data on local disk and is not clustered or replicated, so long-term retention and high availability add components and effort that you must budget for. Vendor-supported or managed offerings are sold by other companies, and their terms, scope and prices are separate from the project.
- Software license: Apache-2.0 applies to the project, so you can use, modify and redistribute it without a license fee.
- Infrastructure and storage: Costs cover compute, disk for the local time series database and any remote storage you add for longer retention.
- Implementation and operation: Alerting rules, exporters, Alertmanager clustering and upgrades are paid for through staff or a services partner.
- Vendor or managed offerings: Support contracts and hosted services come from other companies. Confirm what each covers, such as response times, upgrade help and version coverage.
- Release support: Minor releases generally stop receiving bug fixes after about six weeks, while LTS lines receive fixes for one year. Plan upgrades accordingly.
Before you commit, ask any managed or support vendor which Prometheus versions they cover and how they handle your custom exporters and alert rules.
Zabbix has been released under AGPL-3.0 from version 7.0 onward, and all versions up to 6.4 were released under GPL-2.0. The software has no license fee, no device limits and no feature gates. Zabbix earns revenue from technical support subscriptions in five tiers: Silver, Gold, Platinum, Enterprise and Global. The AGPL matters if you modify Zabbix and let users interact with the modified version over a network, because the license can require you to offer them the source of your changes. Have counsel confirm your obligations for your specific use.
- Software license: AGPL-3.0 from 7.0 onward, GPL-2.0 for earlier releases, so check which version you run.
- Network use clause: If you modify Zabbix and users access it over a network, the AGPL can require you to publish those modifications. Internal-only use is treated differently, so confirm your position with counsel.
- Support tiers: Silver offers 8x5 support with a 1-day response, Gold offers 8x5 with a 4-hour response, and Platinum, Enterprise and Global offer 24x7 with 2-hour, 1.5-hour and 1-hour responses.
- Recurring cost: Support subscriptions recur annually, while the software itself costs nothing to obtain.
- Release lifecycle: LTS releases receive full support for three years and limited support for two more, which affects how long a support subscription remains useful.
Ask Zabbix which release lines a subscription covers, whether it includes help with templates and upgrades, and what the response targets cover outside business hours.
Free software does not mean free operations. The support question is different for each platform: Prometheus support comes from a separate vendor or a services partner, while Zabbix sells its own tiered subscription. Compare what each option covers in writing before you assume either one is cheaper to run. Support scope affects who answers when an alert pipeline fails at night and who helps with upgrades.
- Vendor scope: Confirm whether a third-party contract covers the Prometheus server, Alertmanager, exporters and remote storage, or only some of them.
- Version coverage: Ask which Prometheus LTS line is supported and how the vendor handles the end of its one-year window.
- Zabbix tiers: Compare response times and hours of coverage across Silver through Global against your incident needs.
- Custom work: Ask whether templates, custom integrations and database upgrades are included or billed separately.
- Exit terms: Check notice periods and what happens to support if you move between versions or platforms.
Request a written statement of support scope from each provider and compare them side by side with the same incident scenarios.
What drives the running cost of Prometheus and Zabbix
The software license is the one cost line that is zero for both platforms. Prometheus is Apache-2.0 licensed and has no paid enterprise edition, and Zabbix states that its open source software has no license fee, no device limits and no feature gates. What you may pay for is support. Zabbix sells subscriptions in Silver, Gold, Platinum, Enterprise and Global tiers, and each tier sets the hours of cover and the response time, from 8x5 with a 1 day response at Silver to 24x7 with a 1 hour response at Global. Prometheus has no equivalent vendor contract, so any outside help comes from a partner or your own staff. Before you sign, confirm which Zabbix tier includes the hours and response time your on-call model needs, using the Zabbix support page.
Infrastructure and storage costs follow data volume and how long you keep it. Prometheus stores samples in a local time series database with a default retention of 15 days, configurable by time or size, and local storage is not clustered or replicated. Longer history means sizing disks on each Prometheus server or adding remote write to an external long-term store, which is a separate system to run and pay for. Zabbix keeps its data in a relational database, with MySQL, MariaDB, PostgreSQL and optional TimescaleDB supported for the server, so database sizing, backups and history retention settings drive the bill. Zabbix proxies, which can use SQLite, add machines at remote sites that you must also patch and monitor. Ask any quote for the number of collection targets, the retention period for each data type, the HA design for the server and proxies, and where each proxy will run.
Moving from Zabbix to Prometheus or the reverse, step by step
This sequence moves monitoring from one platform to the other without a blind gap, so each check, alert and dashboard is either rebuilt, retired or deliberately left behind. The output is a tested, decommissioned legacy stack and a documented record of what changed.
Inventory every check, trigger and owner
The team lists each item, trigger, action and dashboard in the current platform, marks which ones still matter, and names an owner for each. Platform engineering usually leads this with the on-call teams who receive the alerts. Done means every active alert has an owner, a severity and a written reason to keep it or retire it. Retired items are recorded so nobody later assumes they were lost by accident.
Map checks to exporters and rules
For each kept item, the team chooses the equivalent in the target platform. Moving to Prometheus usually means selecting exporters, writing scrape configuration and translating triggers into PromQL alerting rules. Moving to Zabbix means mapping metrics to items, templates and triggers. Some Zabbix checks, such as SNMP or agent-based host checks, have no direct Prometheus counterpart, so the team records a replacement or an accepted gap. Done means a mapping sheet exists and each row has a target, an owner and a status.
Run both platforms in parallel
The new stack collects the same signals while the old one continues to alert. Prometheus is a single-node store by default and its storage is not clustered or replicated, so the team should treat the new server as a production database with its own backup and capacity plan. Zabbix's native server high availability and proxy groups can be used as a comparison point for the legacy side. Done means both platforms show matching values for agreed key services over an observation period the team sets and documents.
Rebuild dashboards and alert routing
Dashboards are rebuilt against the new data source, and alerts are routed through Alertmanager in the Prometheus direction or through Zabbix actions in the reverse. Alertmanager's grouping, inhibition and silences replace some Zabbix escalation logic, so each route should be reviewed rather than copied. Prometheus should point at every Alertmanager instance, not at a load balancer. Done means each alert route has a documented receiver, a test alert has been sent to it, and the on-call team has confirmed the content is readable.
Decide what history moves and what stays
Historical data is rarely moved in a simple import. Prometheus's default local retention is 15 days, configurable by time or size, so older Zabbix history will usually remain in the legacy database for reference. Teams that need long-term metrics in Prometheus should evaluate remote write to external storage, and must confirm the conversion path in their own environment with the vendor or a specialist. Done means a written decision records what history is kept, where it lives and who can query it.
Test notifications end to end
The team triggers controlled failures for each critical service and confirms that the right people receive the right notification through each channel, including escalation and recovery messages. Silences and inhibitions in Alertmanager, and maintenance periods and escalation steps in Zabbix, are tested as well. Done means every critical alert has a passing test record and any gaps are logged as open items with an owner before cutover.
Pin a supported version and cut over
Before cutover, the team pins a specific version of the target platform and records its support window. Prometheus minor releases generally stop receiving bug fixes after six weeks, so teams should choose a current minor release or the LTS line, which receives bug fixes for one year, and plan upgrades around it. The current LTS line is 3.13, supported until July 31, 2027. Done means the pinned version, its end-of-support date and the upgrade owner are recorded, and the legacy alerts are disabled in a controlled change.
Decommission the legacy stack
After a stable period, the team turns off legacy collection, archives the configuration and any retained history, revokes agent credentials and removes firewall rules. Ownership, runbooks and alert intent are carried into the new platform's documentation, so the reasons behind each alert survive the move. Done means the legacy hosts are removed or archived, access is revoked, and the runbook library points only to the new platform.
Where Prometheus and Zabbix implementation projects usually run long
On the Prometheus side, the work that runs long is rarely the first scrape. It is service discovery design, exporter coverage across every workload class, and the rule set that turns raw series into alerts people trust. Teams should decide early how targets are found (Kubernetes discovery, file-based discovery or static configuration), which exporters are mandatory per service, and who owns each recording and alerting rule. Retention is the other common surprise: Prometheus defaults to 15 days of local data, and its storage documentation states that local storage is not clustered or replicated, so long-term retention means designing remote write to an external system from the start. Alertmanager also needs a deliberate cluster layout, with Prometheus pointed at every Alertmanager instance rather than a load balancer. Confirm the metrics you plan to use for billing or other exact accounting, because the Prometheus overview says the project values reliability over precision and is not a good choice where 100% accuracy is required, such as per-request billing.
On the Zabbix side, the early decisions are server and database sizing, proxy layout and template strategy. Zabbix 7.4 stores server data in MySQL, MariaDB or PostgreSQL, optionally with TimescaleDB, and the supported database versions are listed in its requirements documentation, so confirm the database engine and version before sizing the history tables. Proxies decide how remote sites and network segments report in, and proxy groups from Zabbix 7.0 onward can redistribute hosts when a proxy goes offline, which needs to be tested rather than assumed. Template customization and agent deployment across mixed Linux, Windows and network hosts are where effort accumulates, because each host class needs the right item keys, triggers and macros. The high availability design adds a further check: several server nodes share one database, one is active and the others stand by, and failover depends on a configured delay between 10 seconds and 15 minutes. The shared database therefore becomes the component to protect most carefully.
Questions buyers ask before choosing Prometheus or Zabbix
Does Prometheus or Zabbix cost less to run over time?
Neither open-source core carries a license fee, so the difference comes from what you run and who operates it. Prometheus is Apache-2.0 licensed and has no paid enterprise edition, so its costs are infrastructure, storage for time series, implementation and the people who run it. Zabbix states that its open-source software has no license fee, no device limits and no feature gates, but its paid technical support subscriptions come in Silver, Gold, Platinum, Enterprise and Global tiers, so a support contract is the main recurring line to price. Zabbix also needs a supported database backend and proxies for remote sites, which add hosting and maintenance. Ask any quote to separate one-time build work from recurring support, retention, storage growth and the number of hosts or series you expect.
How long does implementation take and what does the team need to supply?
Duration depends on scope, so no fixed timeline is given here; ask for one in the written scope. Prometheus work centers on targets from service discovery or static configuration, exporters, recording and alerting rules, Alertmanager clustering and retention sizing, because local storage is not clustered or replicated. Zabbix work centers on the host and template model, agent deployment, the database backend, proxies for remote networks and user roles in the web interface. Either way, the team should supply an inventory of targets, named alert owners, a notification routing map, access to hosts or cluster nodes and someone who can approve retention and storage decisions before build starts.
Can a small team run Prometheus or Zabbix without outside help?
A small team can run either one, but the workload differs. Prometheus is a narrower system with local storage, so a small team can operate it well if it plans for retention, upgrades and backups of the data directory. Zabbix bundles the server, web interface, database and agents, which means more components to patch, but it includes a native high availability cluster in which a standby node takes over after a failover delay you configure between 10 seconds and 15 minutes. Outside help is most useful for initial design, high availability, identity integration and handover. Confirm internally who will own alert quality and on-call response, since tooling does not assign that work.
Can Zabbix replace Prometheus for Kubernetes, or the reverse?
Each can monitor parts of the other's territory, but neither replaces the other cleanly in every case. Prometheus pulls metrics over HTTP from targets found through service discovery and is queried with PromQL, which suits Kubernetes workloads that appear and disappear. Zabbix uses agents, templates and an SQL-backed web interface, which suits servers, network devices and SLA-style reporting. Moving Kubernetes monitoring to Zabbix means building discovery and templates for changing workloads. Moving server and network monitoring to Prometheus means building exporters, alert rules and dashboards for the checks you currently get from Zabbix templates. Run a proof of concept against your own targets before deciding.
How do the LTS support windows for Prometheus and Zabbix compare?
Prometheus LTS releases receive bug fixes for one year. The current LTS line is 3.13, released July 1, 2026 and supported until July 31, 2027, and minor releases generally stop receiving bug fixes after six weeks, so production teams should standardize on the LTS line. Zabbix LTS releases receive five years of support in total: three years of full support followed by two years of limited support. Zabbix 7.0 LTS, released June 4, 2024, has full support until June 30, 2027 and limited support until June 30, 2029, and Zabbix 8.0 LTS is planned for Q4 2026. Zabbix standard releases are supported for 12 months. Confirm which release line your upgrade plan targets and schedule upgrade testing for each window.
What identity integration should you confirm before go-live?
Confirm how people sign in to each interface, who can change alert rules and which service accounts can read metrics or call APIs before go-live. Zabbix publishes authentication documentation for its web interface, so confirm which methods your directory supports and how your groups map to Zabbix user roles. Prometheus has no user login of its own in the way a web application does, so most teams place a reverse proxy or gateway in front of it, along with Alertmanager and any dashboards. Check where TLS, authentication and access control live in your design, how scraping credentials are stored and who reviews access changes after launch.
Does Zabbix's AGPL license affect internal use?
For many internal deployments, the AGPL-3.0 license does not restrict running Zabbix inside your organization, but the answer depends on whether you modify the software and how users reach it. Zabbix moved from GPL-2.0 to AGPL-3.0 starting with version 7.0, and all versions up to 6.4 were under GPL-2.0. AGPL-3.0 adds obligations when a modified version is made available to users over a network, so a change to the web interface offered to outside users needs review. Ask your legal counsel to confirm the position for your planned customizations, any templates you share with other organizations and any hosted service you provide. Zabbix support subscriptions are a separate commercial agreement.
What can DeployOpen cover in a fixed-scope monitoring engagement?
DeployOpen plans, implements, integrates, hardens, backs up, documents and supports self-hosted open-source platforms inside your own infrastructure, including monitoring. Most engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts. A written scope for Prometheus or Zabbix would typically cover architecture, storage and retention, alert routing, identity integration, LTS upgrade planning and handover, and it should name what is excluded. Ongoing support, upgrades and continuous testing are available as retainers. DeployOpen does not publish a price list, so a quote follows from the written scope. DeployOpen prepares systems and evidence for compliance assessments, but independent auditors issue any audit report or certification.
How DeployOpen helps choose, implement or migrate monitoring
DeployOpen is a Chainscore Labs company that plans, implements, integrates, documents and supports self-hosted open-source platforms inside the client's own infrastructure. For Prometheus vs Zabbix, we start from the monitoring workload your team actually has, then build and hand over whichever platform or mixed design fits it.
How we scope
- Inventory which hosts, network devices, Kubernetes clusters and services need monitoring, and who receives alerts.
- Record the license, edition and support requirements your procurement and legal teams must sign off on.
- Agree a fixed written scope covering deliverables, timelines and out-of-scope items before any work starts.
How we build
- Design the collection model, whether pull-based scraping, agent-based checks, or both, around your estate.
- Configure storage retention, high availability and alert routing, including Alertmanager or Zabbix server nodes and proxies.
- Test alert paths, failover behavior and dashboards in your environment before anything goes live.
How we hand over
- Document the architecture, configuration, templates or rules, and the upgrade path for your chosen version line.
- Run knowledge transfer sessions so your platform and operations staff can change alerts and add targets themselves.
- Deliver runbooks for backups, retention changes and version upgrades, aligned with each vendor's support window.
How we support
- Ongoing support, upgrades and continuous testing are available as a retainer after handover.
- Retainers can cover tracking of end-of-support dates, such as Zabbix LTS and Prometheus LTS windows, and planning the next upgrade.
- Confirm response expectations, scope boundaries and any vendor support subscription with us in writing before the retainer starts.
