Top 11 Prometheus Alternatives in 2026 [Includes Open-Source]

Prometheus is a popular metrics monitoring tool. But there are many use cases where it might not be the best fit. Some scenarios where people look for Prometheus alternatives are:

• Complex set up and issues in scaling
  Some people find it complex to set up. Also, managing its scalability for very large and dynamic environments can become complex.
• Not a fan of PromQL
  Some users just don’t like PromQL, the query language of Prometheus for querying metrics.
• Wanting more use cases than just Metrics monitoring
  Prometheus is limited to metrics monitoring. Some users want to do more than metrics and don’t want to use multiple tools for their monitoring set up. SigNoz, an open-source Prometheus alternative can do logs, metrics, and traces under a single pane of glass.

How to Choose the Right Prometheus Alternative

Start with what you need to change about your current setup. A team that wants to keep PromQL but reduce maintenance has different needs from one that wants to investigate metrics, logs, and traces together. Compare your shortlist against these requirements:

• Decide whether you need metrics alone or a platform that also handles logs and traces. Check whether its dashboards and alerting cover the tasks your team performs during an investigation.
• Check whether you can reuse your exporters, PromQL queries, Grafana dashboards, and alert rules. Test a representative dashboard and alert before committing to a migration.
• Evaluate ingestion and query performance with your expected number of time series and the queries your dashboards use. Check how you would add capacity as those needs grow.
• Check retention periods and which components your team will operate. A self-hosted backend gives you control over deployment, while a managed service reduces backend maintenance but may still require local collectors.
• Compare total costs at your expected metric volume. Depending on the provider, charges may include ingestion, storage, queries, and dashboards. For self-hosted tools, include infrastructure and the time your team spends operating them.
• Confirm that access controls, supported regions, and support options meet your requirements.

We have curated a list of the 11 best Prometheus alternatives that you can consider for your use cases.

Top 11 Prometheus Alternatives

1. SigNoz (Open-Source)

SigNoz is a full-stack OpenTelemetry native monitoring tool. It’s effective not only as a Prometheus alternative but also for monitoring any application that generates different types of telemetry data. It offers logs, metrics and traces under a single pane of glass, and has other exceptional features like root cause analysis, live tailing, anomaly detection, and detailed trace filtering.

Not only that, but it uses columnar ClickHouse-based storage to generate analytics quickly. Moreover, when it comes to metrics and dashboards, you can enable a Prometheus receiver to receive any metrics exposed in a running Prometheus instance. It has a strong community that’s proactive, extensive documentation, and a user-friendly journey. Additionally, there are no licensing costs if you self-host it as it is open source.

It also provides a cloud version where you can just sign-up and start sending your monitoring data.

Pros:

1. Investigate metrics alongside related logs and traces in the same platform.
2. Keep Prometheus-format metric endpoints without rewriting application instrumentation.
3. Choose a managed cloud service or a self-hosted deployment.

Cons:

1. Self-hosting requires your team to manage storage, upgrades, and capacity.
2. Cloud usage and access to paid features depend on your plan. Check pricing and support options against your needs.

2. InfluxDB + Chronograf

Source: Influxdata documentation

InfluxDB is a time-series database for storing and querying measurements such as infrastructure metrics and sensor readings. InfluxDB 3 supports SQL and InfluxQL. Chronograf provides dashboards and a query interface, and current releases can connect to InfluxDB 3 when its InfluxDB 3 support is enabled.

This combination is worth considering if you want to analyze time-series data using InfluxQL instead of PromQL. For InfluxDB 3 connections, Chronograf uses InfluxQL. Its alert rule editor manages Kapacitor tasks, so using that alerting workflow adds a separate component to the stack.

Pros:

1. InfluxDB 3 offers SQL and InfluxQL for analyzing time-series data.
2. Chronograf provides dashboards and a visual interface for exploring InfluxDB measurements.

Cons:

1. PromQL queries and Prometheus alert rules need to be rewritten for this stack.
2. Query language support and administration differ across InfluxDB versions. Choose a version before planning the migration.

3. Zabbix

Source: Zabbix

Zabbix is an open-source monitoring platform for servers, network devices, applications, and databases. It collects data through agents, SNMP, JMX, HTTP checks, and other integrations, with dashboards and alerting in its web interface.

Zabbix is useful when you need infrastructure availability checks alongside performance metrics. Templates define what to collect and when to alert, while proxies can collect data from remote locations. Its monitoring model uses items and trigger expressions, so it takes a different approach from Prometheus queries and recording rules.

Pros:

1. Monitor network equipment and servers through several collection methods in one platform.
2. Use built-in templates, discovery, dashboards, and configurable notification actions.

Cons:

1. Moving from Prometheus means adapting your monitoring configuration and alert expressions.
2. Self-hosted deployments require database maintenance and planning for server and proxy capacity.

4. Nagios

Source: Nagios

Supported by a powerful community, Nagios is an open-source monitoring solution perfect for your entire infrastructure. As a Prometheus alternative, it gets the job done when you’re focusing on application network traffic and security. It’s known for its centralized visual operational status that enables speedy resolutions and a commercial-grade netflow data analysis solution for checking data dips and spikes.

It has a log server for easy visualization, analysis, and archival of logs. You can use the multiple available add-ons for cross-platform monitoring, flexible data transport mechanisms, or integrating passive alerts. You can rely on Nagios for server performance monitoring, capacity planning, and snapshot configurations in addition to server, network, and application monitoring.

Pros:

1. Extend host and service monitoring with existing plugins or your own checks.
2. Use Nagios Core without a software license fee.

Cons:

1. Configuration and plugin maintenance require ongoing work as your environment changes.
2. Historical metric graphing and log analysis require additional components or separate products.

5. Icinga

Icinga 2 is an open-source monitoring engine that checks host and service availability and sends notifications when checks detect problems. It supports distributed monitoring with masters, satellites, and agents, which helps teams monitor infrastructure across locations.

The web interface comes from Icinga Web, with modules for working with monitoring state and history. Performance data can go to a separate metrics backend for graphing. This makes Icinga a fit for teams that need configurable service checks, though it involves assembling more components than just the monitoring engine. See our Icinga alternatives guide for comparisons with other approaches.

Pros:

1. Reuse Nagios-compatible monitoring plugins and configure custom notifications.
2. Distribute checks across agents and satellites instead of relying on one monitoring server.

Cons:

1. The engine, web interface, and data storage components need configuration and maintenance.
2. Existing PromQL queries and recording rules do not transfer directly to Icinga's check configuration.

6. Splunk

Source: Splunk

Splunk is a proprietary commercial-grade data management software with a built-in AI that can improve detection, investigation, and response. It can collect data accurately and efficiently from various sources and allow for real-time visualization, allowing enterprises to restore mission-critical services in seconds.

Splunk is also adept at distributed tracing, which is ideal for troubleshooting microservices-based architectures. This is a bonus for highly scalable production environments with complex systems. It’s an SIEM with enormous searching and reporting facilities.

Moreover, it can create a data source from any type of data generation. It has its own search processing language (SPL) with advanced functionalities like data search, correlation, and visualization and also more plugins and integrations than Prometheus!

Pros:

1. Collect Prometheus-format metrics through an OpenTelemetry Collector.
2. Use a hosted service for infrastructure metrics, dashboards, alerting, and application tracing.

Cons:

1. You need to evaluate the specific Splunk products and subscriptions required for metrics, logs, and security monitoring.
2. Scraping Prometheus-format data does not automatically migrate your existing PromQL dashboards and alert rules.

7. Logz.io

Logz.io offers managed metrics monitoring alongside log management and distributed tracing. You can keep a Prometheus server scraping your targets and configure remote_write to send its samples to Logz.io for storage and analysis.

This setup reduces the work of operating the remote metrics backend, while your team still manages the local scraper. Logz.io supports PromQL queries and importing existing Grafana dashboards. Its migration documentation notes that notification endpoints and dashboard annotations need to be recreated rather than imported automatically.

Pros:

1. Forward metrics from an existing Prometheus deployment to a managed backend.
2. Investigate metrics with logs and traces within the Logz.io platform.

Cons:

1. A remote-write setup still requires maintaining collection infrastructure.
2. Dashboard migration includes manual work for notification endpoints and annotations.

8. VictoriaMetrics

Source: VictoriaMetrics

VictoriaMetrics is an open-source time-series database for metrics. You can run it as a single-node service or a cluster. It can scrape Prometheus-compatible targets directly or receive samples sent by Prometheus through remote_write.

Its MetricsQL query language builds on PromQL, making it an option for teams that want to keep much of their existing querying workflow. Cluster deployments support multi-tenancy. MetricsQL also has documented behavior differences from PromQL, so check your existing queries during a migration rather than assuming every result will be identical.

Pros:

1. Use it as a metrics backend while keeping Prometheus scraping, or configure direct scraping.
2. Choose single-node or cluster deployments according to your storage and scaling needs.

Cons:

1. Operating a cluster means managing separate ingestion, storage, and query components.
2. Query compatibility needs testing, especially where MetricsQL and PromQL differ.

9. TimescaleDB + Telegraf + Grafana

TimescaleDB, Telegraf, and Grafana form a metrics stack for teams that prefer SQL. TimescaleDB extends PostgreSQL for time-series data. Telegraf collects measurements and can write them through its PostgreSQL output plugin, which includes TimescaleDB configuration examples. Grafana queries the stored data through its PostgreSQL data source to build dashboards and alerts.

This is an option when you want to manage metric storage and analysis in PostgreSQL. It requires designing the collection configuration and database schema for your workload. It is not a drop-in Prometheus backend, so existing PromQL queries and alert rules need to be rebuilt using SQL and Grafana's alerting configuration.

Pros:

1. Query metrics with SQL and combine them with other data in PostgreSQL.
2. Choose collection plugins and build Grafana dashboards around your own schema.

Cons:

1. Your team operates and connects three separate components.
2. You must manage schema changes, retention, database capacity, and the migration of existing queries.

10. Sensu

Source: Sensu

Sensu is an observability platform that offers monitoring-as-code for DevOps and SRE teams. It’s designed for the cloud and open-source and lets you visualize every protocol across a single dashboard view. This Prometheus alternative has different functionalities than Prometheus but lets you automate workflows, enjoy instant visibility, and integrate tools and plugins for a seamless experience.

It’s known for its flexible, API-rich observability pipeline, but it doesn’t have a data storage backend. In fact, it relies on time-series databases like Prometheus or Graphite. It’s not that efficient at alerting like Prometheus. However, it’s effective for monitoring data.

Pros:

1. Define checks and event-processing rules as code.
2. Route monitoring events to notification services and metric storage systems through handlers.

Cons:

1. Historical metrics dashboards require integration with a separate storage and querying system.
2. Some capabilities require a commercial license, so check the feature set for your deployment.

11. Mimir by Grafana (open-source)

Mimir is an open-source, horizontally scalable time-series database provided by Grafana.

It extends the Prometheus ecosystem with a focus on horizontal scalability and long-term storage. Designed to be API-compatible with Prometheus, Mimir allows for seamless integration with existing Prometheus setups but distinguishes itself by enabling massive scale across multiple nodes and clusters.

It offers durable, long-term storage capabilities and is built to handle billions of metrics across many tenants, addressing the scalability and multi-tenancy limitations of Prometheus. Mimir's architecture facilitates easier management of large-scale monitoring environments, providing robustness and resilience without sacrificing Prometheus's core strengths.

Pros:

1. Retain PromQL and Prometheus-compatible ingestion while expanding backend capacity.
2. Separate tenant data and queries within a shared metrics cluster.

Cons:

1. Self-hosting requires operating Mimir and its supporting storage and infrastructure.
2. You still need metric collection and a dashboard interface. Grafana Cloud is the managed alternative if you want a hosted service.

Frequently asked questions

Can I keep my existing exporters with managed Prometheus?

Yes, you can generally keep exporters that expose Prometheus-format metrics. Configure the provider's collector to scrape them, or keep Prometheus scraping locally and forward the samples where the service supports it. For example, Grafana Cloud accepts samples through remote_write from an existing Prometheus server. This lets you change where metrics are stored without replacing the exporters.

Getting Started with SigNoz Cloud

SigNoz Cloud is the easiest way to run SigNoz. Sign up for a free account and get 30 days of unlimited access to all features.

You can also install and self-host SigNoz yourself since it is open-source. With 24,000+ GitHub stars, open-source SigNoz is loved by developers. Find the instructions to self-host SigNoz.