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Databases · head to head

StarRocks vs Zabbix

StarRocks logo

StarRocks

Databases

Apache 2.0 MPP analytical database built for joins on open table formats

From
Free
Rated
-
Full reviewWebsite
Zabbix logo

Zabbix

Networking

Open source infrastructure and network monitoring with distributed proxies and templating

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.; Zabbix the database is the scaling limit, and high frequency polling grows history tables fast enough that untuned installations hit housekeeping stalls and query timeouts within months.
  • They diverge on capability: StarRocks covers Cost-based optimiser, Zabbix covers Agent and agentless collection.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which StarRocks and Zabbix actually diverge.

Attributes where StarRocks and Zabbix differ
AttributeStarRocksZabbix
PlatformsLinux, Docker, KubernetesLinux, Docker, Kubernetes, Web
CategoryDatabasesNetworking

Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in StarRocks

  • Cost-based optimiser
  • Lakehouse query engine
  • Primary key tables
  • Materialised views
  • Shared-data mode
  • MySQL wire protocol

Only in Zabbix

  • Agent and agentless collection
  • Templates
  • Low-level discovery
  • Distributed proxies
  • Trigger expressions
  • Escalation actions

What people use each for

The jobs each tool is most often brought in to do.

StarRocks

  • Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Zabbix
  • Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Zabbix
  • Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Zabbix
  • Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Zabbix

Zabbix

  • A service provider monitoring thousands of customer devices where per-device commercial licensing is the largest line itemnot StarRocks
  • Branch or industrial sites with unreliable links that need local collection and bufferingnot StarRocks
  • Mixed estates where the same tool must poll SNMP switches, Linux hosts, Windows servers and Java applicationsnot StarRocks
  • Replacing an aging Nagios installation while keeping script-based checks that already existnot StarRocks

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

StarRocks

  • Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
  • CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
  • It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
  • Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
  • Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.

Zabbix

  • The database is the scaling limit, and high frequency polling grows history tables fast enough that untuned installations hit housekeeping stalls and query timeouts within months.
  • Initial configuration is heavy; getting useful alerting rather than noise requires understanding trigger expressions, macros and template inheritance, which is a multi-week learning curve for a team new to it.
  • The AGPLv3 change at version 7.0 affects anyone offering Zabbix over a network as part of a commercial service, and that obligation is easy to inherit accidentally during an upgrade.
  • The web interface is functional rather than pleasant, and many sites end up running Grafana alongside it purely for presentation, which is a second system to maintain.
  • Upgrades between major versions touch the database schema and can take hours on large history tables, so the maintenance window is proportional to how much data you kept.

Pricing, plan by plan

StarRocks

Free
  • StarRocksFree
    • Apache 2.0 licence
    • Linux Foundation governance
    • No usage or node limits
  • CelerData Cloud$undefined/year
    • Managed StarRocks from the primary contributor
    • BYOC and serverless deployment options
    • Enterprise support and SLAs

Zabbix

Free
  • ZabbixFree
    • No device, node or metric limits
    • Full feature set with no paid edition of the software
    • AGPLv3 from version 7.0 onward
  • Zabbix Technical Support$undefined/year
    • Tiered subscriptions with defined response times
    • Access to Zabbix engineers for configuration and performance issues
    • Bug fix priority and backports

Which should you pick?

Choose StarRocks if

  • You need cost-based optimiser.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want lakehouse query engine.
StarRocks review

Choose Zabbix if

  • You need agent and agentless collection.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Web.
  • You also want templates.
Zabbix review

Questions people ask

Is StarRocks or Zabbix better?
Neither clearly leads. StarRocks starts at Free and Zabbix at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, StarRocks or Zabbix?
StarRocks starts at Free and Zabbix at Free.
Does StarRocks or Zabbix run on more platforms?
StarRocks runs on Linux, Docker, Kubernetes. Zabbix runs on Linux, Docker, Kubernetes, Web.
Can I use StarRocks for free?
Both have a free tier, so you can try either at no cost before committing.
What is StarRocks best used for?
StarRocks is most often used for customer-facing analytics where queries join a fact table to several dimensions and must return in well under a second, querying an iceberg lakehouse directly without copying data into a proprietary warehouse format, replacing a clickhouse deployment that has become unmanageable because every new question needs another denormalised table, real-time analytics fed by change data capture where rows must be updated in place rather than appended. Of those, customer-facing analytics where queries join a fact table to several dimensions and must return in well under a second and querying an iceberg lakehouse directly without copying data into a proprietary warehouse format are not what Zabbix is typically brought in for.
What can StarRocks do that Zabbix cannot?
StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views. Zabbix covers Agent and agentless collection, Templates, Low-level discovery, Distributed proxies.

Answered from the vendors’ own pages

StarRocks: Is StarRocks open source?

Yes, Apache 2.0, governed under the Linux Foundation since 2023.

Zabbix: Is Zabbix genuinely free for commercial use?

The software has no licence fee at any scale. From version 7.0 it is AGPLv3, so offering it as a network service to third parties carries source distribution obligations.

StarRocks: How does it differ from ClickHouse?

StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.

Zabbix: What is the real cost of running it?

Database administration and the person who tunes it. Budget for PostgreSQL with TimescaleDB and someone who owns the retention policy.

StarRocks: Who maintains it?

CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.

Zabbix: How does it compare to a commercial per-device tool?

It removes the licence line entirely and adds an operations line. Below a few hundred devices the commercial tool is often cheaper in total; above that Zabbix wins clearly.

StarRocks: Can it query Iceberg tables directly?

Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.

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