NexArt is not a Datadog LLM Observability alternative. Datadog gives you LLM traces, spans, quality signals, and alerting inside an existing APM and logging estate. Comparable options are Langfuse, LangSmith, Arize Phoenix, Helicone, New Relic AI monitoring, and Grafana with OpenTelemetry. NexArt covers what monitoring cannot: monitoring data is collected, sampled, retained, and deletable by the operator, so it does not settle a question raised by a regulator, customer, or court. A Certified Execution Record is independently signed and verifiable offline.
Alternatives in the same category
If you are replacing Datadog LLM Observability, these are the tools that sit in the same category and cover broadly the same job.
Open-source, self-hostable tracing and evaluation.
Tracing and evaluation with the deepest LangChain and LangGraph integration.
Open-source tracing with drift and embedding analysis.
Comparable APM-led approach for teams on New Relic.
Build-your-own stack on OTel GenAI semantic conventions.
Datadog LLM Observability compared with NexArt
| Dimension | Datadog LLM Observability | NexArt |
|---|---|---|
| Primary purpose | Monitor availability, cost, latency, and quality signals | Certify what an execution was, for external verification |
| Retention | Plan-dependent, with sampling and index filters | Portable record retained as an artifact, verifiable after export |
| Integrity | Operator and vendor controls over the data store | Canonical SHA-256 hash and Ed25519 signature; edits are detectable |
| Timing | Timestamps written by the instrumented application | RFC 3161 timestamp via DigiCert's public timestamp authority |
| Who can check it | Users with access to the Datadog organisation | Anyone, offline, with no NexArt account |
| Confidentiality | Prompt and response payloads may be captured in full | Confidential by default: keyed commitments over protected fields |
When Datadog LLM Observability is the right choice
Choose Datadog or a same-category tool for operations: alerting on error rates and spend, correlating LLM latency with infrastructure, tracing failures across services, and keeping one pane of glass for the platform team.
When to add NexArt
Add NexArt at the executions that create obligations: automated decisions, agent actions on a customer's behalf, and anything a compliance function has to be able to reconstruct. Certification binds input, output, model and version, parameters, and an optional identity into a record verifiable without your systems.
What NexArt does not cover
NexArt provides no alerting, dashboards, spend analytics, or infrastructure correlation, and does not replace application logging or APM. It establishes integrity and timing only, and cannot certify past executions.
Check the evidence layer yourself
Run a certification in the browser and verify the resulting record without an account.
Related questions
Can we drop observability if we certify executions?
No. Certification covers a small number of consequential executions; observability covers operating the system.
Where do records live?
Records are retrievable through NexArt and exportable as self-verifying JSON that can be checked offline.
Does verification require our cooperation?
No, and that is the point. A holder of the record can verify it without access to your infrastructure.