AgentOps vs Databricks Agent Evaluation
Both are agent evaluation tools. Here is how they actually differ on price, billing model and deployment.
AgentOps
MIT-licensed agent observability with session replay and rewind, integrating in two lines across 400+ frameworks. Its free tier meters events rather than runs, which makes 5,000 far smaller than it looks.
Databricks Agent Evaluation
Mosaic AI's agent evaluation, where tools are registered in Unity Catalog so the permissions protecting your data also scope what an agent may do. Judge Builder lets you tune the judges to your domain.
| AgentOps | Databricks Agent Evaluation | |
|---|---|---|
| Category | Agent Evaluation | Agent Evaluation |
| Our rating | 4/5 | 4/5 |
| Starting price | $40/mo | Databricks consumption |
| Billing meter | event | No usage metering |
| Free plan | Yes | No |
| Free self-hosting | Yes, free | No or paid tier only |
| Best for | Teams debugging multi-agent systems who want session replay and broad framework coverage with minimal instrumentation effort, and who will move to the paid tier quickly. | Existing Databricks customers building agents over their own governed data, where inheriting Unity Catalog permissions and MLflow lineage is worth more than best-in-class conversation simulation. |
Our verdict on AgentOps
AgentOps is the best agent debugging tool in this category, and the distinction from evaluation matters. Its session replay with rewind and point-in-time control lets you step back through an agent run rather than reading a flat trace after the fact, which is the right interaction model for systems whose failures are sequential. Add two-line initialisation across 400+ LLMs and frameworks, MIT licensing with the full app self-hostable, and it is unusually easy to adopt. The thing to understand before you plan around the free tier is the unit. Five thousand events sounds generous until you realise an event is each tracked item - every LLM call, tool call and action - so a single agent run emitting a dozen events means the free tier is a few hundred runs, not five thousand. For anything agentic that is days rather than months. Pro at $40 a month with unlimited events removes the problem entirely and is cheap, so treat the free tier as a trial and budget for Pro from the start.
Full AgentOps review →Our verdict on Databricks Agent Evaluation
Databricks Agent Evaluation has the best answer to a question most of this category ignores - what is an agent actually allowed to do. Tools are registered in Unity Catalog, so the same least-privilege permissions protecting your data also scope what an agent may access. That means agent authorisation is not a new system to design and audit, it is the one you already have, which is the most coherent approach to the problem we have encountered. The evaluation side is strong too. Built-in AI judges score correctness, relevance and safety, runs are tracked in MLflow so versions compare and regressions can gate deployment, and Agent-as-a-Judge, Tunable Judges and Judge Builder attack the genuine weakness of LLM-as-judge, which is that a generic judge does not understand your domain. The obvious constraint is that none of this exists outside Databricks. There is no standalone product, no separate pricing, and evaluation cost sits inside consumption where it is hard to isolate. If you are a Databricks shop building agents over your own data, this is close to automatic. If you are not, it is not a realistic option.
Full Databricks Agent Evaluation review →Frequently Asked Questions
What is the main difference between AgentOps and Databricks Agent Evaluation?
AgentOps: Teams debugging multi-agent systems who want session replay and broad framework coverage with minimal instrumentation effort, and who will move to the paid tier quickly. Databricks Agent Evaluation: Existing Databricks customers building agents over their own governed data, where inheriting Unity Catalog permissions and MLflow lineage is worth more than best-in-class conversation simulation. Both sit in Agent Evaluation, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, AgentOps or Databricks Agent Evaluation?
It depends entirely on your workload shape, because they meter differently - AgentOps bills on event and Databricks Agent Evaluation bills on no usage metering. Published starting prices are $40/mo and Databricks consumption respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host AgentOps or Databricks Agent Evaluation?
AgentOps: Yes, free. Databricks Agent Evaluation: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.