Zabbix vs Prometheus
Zabbix and Prometheus compared for 2026: Zabbix 8.0 LTS vs Prometheus 3.16, agent-and-database monitoring vs pull-based time series, SNMP and network gear, Kubernetes and service discovery, storage and retention, alerting, high availability, OpenTelemetry, licences, Zabbix Cloud and support pricing, release policies, with a clear pick per situation.
Quick Answer
Zabbix and Prometheus are both free, open-source monitoring systems, but they are built for different worlds. Zabbix (AGPLv3 since 7.0) is an all-in-one platform: a server written in C, a PHP web frontend, a SQL database (MySQL, MariaDB or PostgreSQL, with TimescaleDB, Elasticsearch or ClickHouse for history), agents for Linux and Windows, native SNMP, IPMI, JMX and VMware checks, templates, network discovery, built-in dashboards, maps and escalating alerts, and a native active/standby HA cluster. Zabbix 8.0 LTS (5 November 2026) adds OpenTelemetry metrics, logs and traces, a complex event processing engine, a ClickHouse history backend and an MCP server for AI agents. Prometheus (Apache-2.0, a CNCF project) is a metrics toolkit: a single Go binary that pulls time series over HTTP, stores them in a local TSDB (15 days by default), queries them with PromQL and hands alerts to a separate Alertmanager, with Grafana usually doing the dashboards. It discovers targets through 31 service-discovery mechanisms including Kubernetes, and it is the de facto standard in cloud-native stacks. Latest: Prometheus 3.16.0 (4 November 2026) and LTS 3.13.5. Pick Zabbix for servers, network devices and a NOC that wants one UI. Pick Prometheus for Kubernetes, microservices and instrumented application metrics.
Last updated November 12, 2026. Covers Zabbix 8.0.0 LTS (5 November 2026) and Prometheus 3.16.0 (4 November 2026), with licences, requirements, lifecycle policies, Zabbix subscription and Zabbix Cloud prices from zabbix.com and Prometheus docs from prometheus.io and GitHub, read in November 2026.
| Feature | Zabbix | Prometheus |
|---|---|---|
| License | AGPLv3 from Zabbix 7.0 onward (GPLv2 up to 6.4); free for commercial and non-commercial use | Apache-2.0; CNCF project, maintained independently of any company |
| Monitoring Model | Host-based: hosts, items, triggers and actions; supports both polling and trapping | Pull-based time series over HTTP; Pushgateway for short-lived and batch jobs |
| Data Collection | Zabbix agent (C) and agent 2 (Go, plugins), SNMP, IPMI, JMX, VMware, HTTP agent, Prometheus endpoint checks, OTLP (8.0) | Scrapes /metrics endpoints from client libraries and exporters (node, blackbox, SNMP, memcached and many more); OTLP metrics receiver |
| Data Model & Query | Items with value preprocessing; trigger expressions; tags with full inheritance (8.0); new Telemetry query item for APM data | Multi-dimensional data model (metric name + labels); PromQL for queries, recording rules and alert rules |
| Storage Backend | MySQL/Percona 8.4–9.7, MariaDB 10.11–13.0 or PostgreSQL 15–18 (TimescaleDB 2.20–2.30); history in Elasticsearch 8.0–9.5 or ClickHouse 26.3–26.9; SQLite for proxies only | Local on-disk TSDB, about 1–2 bytes per sample; not clustered or replicated; remote read/write APIs |
| Retention & Long-Term Storage | Configurable history per item with a built-in housekeeping procedure; long history stays in your database | 15 days by default (time or size based); long-term storage via remote-write systems such as Thanos |
| Alerting | Triggers, actions with escalation schedules, media types, macros in messages, remote commands; complex event processing for root cause, correlation and deduplication (8.0) | Alerting rules in Prometheus; Alertmanager handles grouping, inhibition, silencing and routing to email, on-call and chat |
| Visualization | Built-in PHP web frontend: dashboards and widgets, graphs, network maps, Geomap, Scatter Plot (8.0), reports, business service views | Built-in web UI for queries and graphs; Grafana or other API consumers for dashboards |
| Discovery | Network discovery, agent autoregistration, low-level discovery of file systems, network interfaces and SNMP OIDs | 31 service-discovery configs (Kubernetes, Docker, Docker Swarm, Consul, AWS, Azure, GCE, Hetzner, DigitalOcean, file, HTTP, DNS and more) |
| Network / SNMP Monitoring | Native SNMP polling and traps; EngineID caching reduces SNMP traffic (8.0); many vendor device templates | Via the official SNMP exporter (and a Modbus exporter for industrial networks) |
| Kubernetes & Cloud-Native Fit | Supported through templates (e.g. Kubernetes Cluster by HTTP, new in 8.0) and container monitoring; not label-native | Native Kubernetes service discovery; the project calls itself the only monitoring system directly supported by Kubernetes |
| Logs & Traces | Log file monitoring; OpenTelemetry metrics, logs and traces with APM views from 8.0 | Not for logs (project recommends Loki or OpenSearch); traces out of scope apart from experimental OTLP tracing of Prometheus itself |
| High Availability | Native HA cluster: several server nodes, one active and the rest standby; proxy load balancing and HA; multiple PostgreSQL backend nodes (8.0) | Run identical servers on separate machines; Thanos or remote-write backends deduplicate; Alertmanager clusters for HA |
| Scale & Sizing | Vendor sizing: 1,000 metrics on 2 vCPU/8 GB, 10,000 on 4/16, 100,000 on 16/64, 1,000,000 on 32/96; proxies spread load | A single instance handles tens of millions of active series; federation and long-term storage systems beyond that |
| Configuration Style | Web UI and Zabbix API; templates that inherit templates; dashboard import/export (8.0) | YAML config files and rule files; fits Git, code review and config management |
| AI / MCP | MCP server for AI agents that respects user roles (8.0); templates for OpenAI, Claude API and Copilot usage | No built-in AI features in the core project |
| Server Platforms | Server on Linux, macOS, AIX, FreeBSD, OpenBSD, NetBSD, Solaris, HP-UX; agents also on Windows | Go binaries for Linux, macOS, Windows and more; containers |
| Vendor-Hosted Option | Zabbix Cloud: 7 tiers from Nano ($50/month, 50 NVPS) to 2xLarge ($5,000/month, 10,000 NVPS), 10 GB storage free, 5 regions, 10% off annual | None from the project itself; remote-write integrations to external storage systems |
| Commercial Support | Subscriptions: Silver €245/$325 per month (8x5, 1-day response), Gold from €660/$825 (4-hour), Platinum, Enterprise, Global custom; unlimited hosts | Community-maintained; no single vendor sells the project |
| Release & Support Policy | Standard every 6 months, supported 12 months; LTS every 1.5 years, supported 5 years (3 full + 2 limited) | New minor release cycle every 6 weeks; LTS releases get one year of selected fixes (CVSS 7.0+) |
| Latest Release (Nov 2026) | Zabbix 8.0.0 LTS (5 November 2026) | Prometheus 3.16.0 (4 November 2026); LTS 3.13.5 (21 October 2026); Alertmanager 0.35.0 (9 November 2026) |
Zabbix
Enterprise-class, open-source distributed monitoring platform developed by Zabbix SIA. One package covers data collection (agents, SNMP, IPMI, JMX, VMware, HTTP, OpenTelemetry), a SQL-backed history store, triggers, escalating alerts, dashboards, maps, reporting and an API. Free under AGPLv3, with paid support subscriptions and a hosted Zabbix Cloud.
Pros
- All-in-one: collection, storage, alerting, dashboards, maps, reports, user permissions and an API ship in one product with one web UI
- First-class network and infrastructure monitoring: SNMP polling and traps, IPMI, JMX, VMware and Windows agents out of the box
- Templates and discovery: network discovery, agent autoregistration and low-level discovery of file systems, interfaces and SNMP OIDs
- Native HA cluster for the server and proxies for distributed sites, both documented in the manual
- Long support windows: LTS releases get 5 years (3 full plus 2 limited), and 8.0 LTS is fresh as of November 2026
- Published prices for support (Silver from $325/month billed annually) and for Zabbix Cloud (from $50/month), with no per-host licence fees
Cons
- Heavier to run: a SQL database is mandatory and the sizing table starts at 2 vCPU and 8 GB RAM for about 1,000 metrics
- Host-centric model fits dynamic, short-lived containers less naturally than label-based time series
- Configuration lives mostly in the web UI and database, so GitOps-style config-as-code takes extra work through the API or exports
- AGPLv3 since 7.0: modified versions offered over a network must share source, which some legal teams review more closely than Apache-2.0
Best For
Infrastructure and NOC teams monitoring servers, VMs, Windows hosts and network devices (switches, routers, firewalls, UPSs) who want one self-hosted tool with built-in dashboards, maps, escalations and long LTS support.
Prometheus
Open-source systems monitoring and alerting toolkit, started at SoundCloud in 2012 and a CNCF project since 2016. A single Go binary scrapes metrics over HTTP, stores them as labelled time series in a local TSDB, evaluates recording and alerting rules with PromQL, and sends alerts to Alertmanager. Exporters, client libraries, the Pushgateway and Grafana complete the stack.
Pros
- Label-based data model plus PromQL makes slicing metrics by service, pod, region or version natural
- Built for dynamic infrastructure: 31 service-discovery mechanisms, including Kubernetes, Docker Swarm, Consul, EC2, Hetzner and file or HTTP discovery
- Single static binary with no external dependencies; each server is autonomous, so it keeps working during the outage you are debugging
- Huge ecosystem: official exporters (node, blackbox, SNMP and more), client libraries, and the de facto standard metrics format across cloud-native tools
- Apache-2.0 and governed by the CNCF, maintained independently of any company
- Efficient local storage: an average of 1–2 bytes per sample, with remote-write integrations for long-term storage
Cons
- Metrics only: the project says not to feed it logs, and traces need a separate system
- Local storage is not clustered or replicated; HA means running duplicate servers, and long-term retention needs Thanos or another remote-write backend
- Dashboards are basic out of the box; most teams add Grafana, and alert routing needs a separately deployed Alertmanager
- Network gear needs the SNMP exporter and MIB-based configuration rather than ready-made device templates with a UI
Best For
Platform, SRE and backend teams running Kubernetes, containers and microservices who instrument their own code, want label-based metrics with PromQL, and already pair (or plan to pair) Prometheus with Grafana and Alertmanager.
Two architectures: an integrated platform vs a metrics toolkit
Zabbix is a classic monitoring server. Agents, proxies and network checks feed values to the Zabbix server, which writes configuration, history and events into a SQL database and serves everything through a PHP web frontend. The data model is host-centric: you create a host, attach items (individual metrics), define triggers (problem thresholds) and actions (notifications, escalations, remote commands). Templates bundle items, triggers and graphs so you apply them to hundreds of hosts at once, and templates can inherit other templates. Prometheus inverts most of that. A single Go binary scrapes HTTP endpoints that expose metrics, stores samples in a local time-series database, and evaluates rules written in PromQL. There is no host object, only time series identified by a metric name and labels, so a pod, a job and a region are all just label values. Alerting is split: Prometheus decides that a rule fires, and Alertmanager groups, silences, inhibits and routes the notification. Dashboards usually come from Grafana. The practical consequence is that Zabbix gives a NOC one tool with one login, while Prometheus gives an engineering team composable parts that each do one job and are configured as files in Git.
Where each one breaks: network gear vs Kubernetes
Zabbix is strongest where Prometheus is weakest. SNMP polling and traps, IPMI, JMX and VMware monitoring are built in, network discovery and agent autoregistration find devices for you, and low-level discovery creates items for every interface, file system or SNMP OID it finds. Zabbix 8.0 adds SNMP EngineID caching and a long list of new device templates. Prometheus can do SNMP through its official SNMP exporter, but you configure MIB modules and build your own dashboards and alerts. Flip to Kubernetes and the picture reverses. Prometheus ships native Kubernetes service discovery (one of 31 discovery mechanisms), pods appear and disappear as label sets without anyone touching a UI, and the project describes itself as the only system directly supported by Kubernetes. Zabbix covers Kubernetes through templates, including the new Kubernetes Cluster by HTTP template in 8.0, but its host-and-item model maps less cleanly onto workloads that live for minutes. If your inventory is mostly switches, routers, firewalls and long-lived servers, Zabbix fits. If it is mostly deployments, pods and autoscaled services, Prometheus fits.
Storage, retention and high availability
Zabbix stores everything in a relational database. Supported backends in 8.0 are MySQL or Percona 8.4 to 9.7, MariaDB 10.11 to 13.0 and PostgreSQL 15 to 18, optionally with TimescaleDB 2.20 to 2.30, and history can move to Elasticsearch or, new in 8.0, ClickHouse. Retention is configured per item and enforced by a built-in housekeeper. The cost is operational: the vendor recommends a separate database server for large installations and publishes sizing from 2 vCPU and 8 GB RAM for about 1,000 metrics up to 32 vCPU and 96 GB for about 1,000,000. High availability is native: several Zabbix server nodes form a cluster with one active and the others on standby, proxies can be load-balanced, and 8.0 supports multiple PostgreSQL backend nodes. Prometheus keeps samples in a local TSDB at an average of 1 to 2 bytes each, with a default retention of 15 days. The docs are explicit that local storage is not clustered or replicated. HA means running two identical servers and letting Alertmanager deduplicate alerts, and long-term or global views come from remote-write systems such as Thanos. Prometheus is simpler to start; Zabbix keeps years of history without extra components.
Cost: free software, paid help and hosted options
Both projects cost nothing to license. Prometheus is Apache-2.0 and community-maintained under the CNCF, so there is no vendor price list at all; your costs are servers, storage and whatever long-term backend or Grafana setup you add. Zabbix is AGPLv3 and also free for commercial use, though Zabbix asks commercial users to consider support. Its subscriptions are priced by response time rather than by host: Silver is €245 or $325 per month billed annually (8x5, 1-day response), Gold starts at €660 or $825 per month (4-hour response, distributed monitoring, online education), and Platinum, Enterprise and Global are custom quotes with 24x7 coverage and response targets down to one hour. Every tier allows unlimited hosts, users and metrics. Zabbix Cloud is the hosted option, sold by new values per second: Nano is $50 a month for 50 NVPS, Medium $750 for 1,000 NVPS and 2xLarge $5,000 for 10,000 NVPS, with 10 GB of storage free and 10% off annual payment. A team monitoring 200 servers at one-minute intervals with 50 metrics each produces roughly 167 NVPS, which lands in the Small tier at $250 a month on list price. Self-hosting either tool on a modest VPS costs far less.
OpenTelemetry, AI and the 2026 release picture
Zabbix 8.0 LTS, released 5 November 2026, is the vendor's biggest release in years. It adds OpenTelemetry collection of metrics, logs and traces with application performance monitoring views, a complex event processing engine that does root cause analysis, correlation and alert deduplication, ClickHouse as a history backend, an MCP server so AI agents can query Zabbix within existing user permissions, a dark blue theme and a long list of templates. Zabbix's own claim is a tenfold performance increase; treat that as a vendor figure until you benchmark your workload. As an LTS release it gets three years of full support and two of limited support. Prometheus moves in smaller steps: a new minor release cycle starts every six weeks, 3.16.0 shipped on 4 November 2026, and LTS releases (currently 3.13, supported until 31 July 2027) receive selected high-severity fixes for a year. Prometheus 3.x can receive metrics over OTLP, but the project stays focused on metrics and points users to Loki or OpenSearch for logs. If you want metrics, logs and traces under one vendor-supported roof, Zabbix 8.0 now covers more ground. If you want a focused metrics engine in a wider open-source stack, Prometheus remains the default.
Verdict
Pick Zabbix if most of what you monitor has a hostname or an IP address and stays put: Linux and Windows servers, VMs, VMware, databases, and especially network hardware over SNMP. You get discovery, templates, dashboards, maps, escalating alerts, user permissions and a native HA cluster in one product, a 5-year LTS (8.0, released 5 November 2026), and optional paid support from $325 a month with no per-host fees. Budget for the database: the vendor's own sizing starts at 2 vCPU and 8 GB RAM. Pick Prometheus if you run Kubernetes or other dynamic container platforms, or if you want developers to expose application metrics from their own code. Labels, PromQL and service discovery fit that world better than hosts and items, the binary is light, and the whole ecosystem already speaks its format. Plan for Grafana, Alertmanager and, if you need more than the default 15 days of history or real HA, a long-term store such as Thanos. Many shops run both: Zabbix for the network and the server fleet, Prometheus for the clusters and services. If you must pick one for a small team with mixed infrastructure and no Kubernetes, Zabbix gives more out of the box; if Kubernetes is your platform, start with Prometheus.