groundcover vs. Braintrust

Compare groundcover vs. Braintrust for Observability. We want you to choose the most suitable tool for your use case, even if it’s not us.

As cloud-native environments continue to grow in complexity, observability has become essential for ensuring the reliability, performance, and scalability of modern applications. From monitoring infrastructure health, enabling deep visibility into distributed systems, or getting real-time insights into reasoning paths, token usage of LLM Agentic applications. However, traditional vendors sliced visibility into separate products (APM, Log Management, Infrastructure Monitoring, LLM Observability) and priced them in ways that forced tradeoffs making it important for team to choosing the right observability platform is critical to operational success.

groundcover and Braintrust each bring unique strengths to observability, with distinct capabilities and trade-offs. The best fit depends on your organization’s priorities—whether that’s cost efficiency, deployment flexibility, developer experience, or ecosystem integrations.

The right choice depends on your priorities: cost, control, scale, and flexibility. In the following sections, we’ll compare both platforms to help you determine which best fits your needs, even if the answer isn’t us.

groundcover vs. Braintrust at a glance

groundcover
Braintrust
Camp
AI-native, full-stack platform
Eval-first / AI dev platform
Eval-first
Framework-native
Eval-first (OSS)
APM bolt-on
Eval-first
Independent ownership
Acquired by Cisco/Splunk
Acquired by ClickHouse
Deployment
BYOC / air-gapped
SaaS; hybrid data-plane-in-VPC (Enterprise)
SaaS / now Splunk portfolio
SaaS (self-host = Enterprise)
Self-host / cloud
SaaS only
SaaS (+ Phoenix OSS)
Open source
* Sensor based on open eBPF
* OpenTelemetry
(LangChain and LangGraph framework is OSS; Observability product is not)
MIT
* Phoenix (OSS)
* OpenTelemetry

groundcover vs. Braintrust at a glance

groundcover
Braintrust
Instrumentation required
None. Zero instruction with eBPF sensor (also, OpenTelemetry also supported and enriched with eBPF)
Auto-instrumentation (startup hook / agent) or gateway
SDK (OTel supported)
Automatic in LangChain; SDK otherwise
SDK (decorator / OTel)
SDK + host agent (auto-instruments)
SDK / OTel auto-instrumentation
Framework-agnostic capture
via SDK / OTel + gateway
via SDK
Tightest w/ LangChain (~84% of users)
via SDK
Partial
via SDK
Full prompt/response payload (incl. headers, tool calls)
Extra cost / partial
Full-stack correlation (LLM ↔ DB / pod / upstream service)
LLM workloads only
Within Datadog stack
model layer only
Provider coverage (OpenAI, Anthropic, Bedrock, Vertex, Azure OpenAI, OSS models)
eBPF auto-detects OpenAI, Anthropic, and AWS Bedrock traffic. OpenTelemetry can also be used for any other providers to send GenAI traces directly.
All major providers
All major providers
All major providers
All major providers
All major providers
All major providers

groundcover vs. Braintrust at a glance

groundcover
Braintrust
Token usage & cost
(granular cost analytics)
(token count)
Latency / errors / throughput per model
Agentic / multi-step trace
(UX scoring-oriented)
Preview
Hallucination / quality regression / drift
Partial, drift only
Core
Core
Eval datasets
LLM-as-judge
Partial
Core

groundcover vs. Braintrust at a glance

groundcover
Braintrust
Prompts/responses stay in your cloud
BYOC
SaaS, BYOC, aand self-hosted
(SaaS hosted)
(SaaS hosted)
if self-hosted
(SaaS hosted)
(SaaS hosted)
Pricing model
Flat / predictable, unlimited data
Usage-based, no per-seat (Free / $249 Pro / Enterprise)
Enterprise / Splunk
Per-trace + seat
Usage / free OSS
Usage + separate SKUs
Enterprise
AI observability included (not a separate SKU)
Standalone product
Standalone product
Standalone product
Standalone product
sold separately
Standalone product
No ingestion / retention / indexing surcharges
usage-based (spans + scores)
n/a
per-trace overage
n/a
n/a
Operational burden
None (runs in your VPC)
None (SaaS, BYOC); some on hybrid/self-host
None (SaaS)
None (SaaS)
High (you run it)
None (SaaS)
None (SaaS)

groundcover overview

groundcover is a full-stack observability platform that goes beyond the traditional SaaS limitations by giving teams complete control of their telemetry in their own cloud. It delivers APM, log management, infrastructure monitoring, LLM observability, and Real User Monitoring (RUM) in a single, unified solution — all with zero instrumentation, powered by eBPF.

With a BYOC (Bring Your Own Cloud) model, groundcover eliminates SaaS markups and data tradeoffs, providing complete visibility, infinite retention, and flat, predictable pricing. From infrastructure to applications to Agentic Application workloads, groundcover captures every signal — without sampling or rate limits — and keeps it private and secure inside your VPC. Whether running in the cloud, on-prem, or in regulated environments, groundcover gives engineering teams operational simplicity, cost clarity, and observability that just works, without compromise.

Braintrust overview

An independent, eval-first AI development platform that connects logging, evaluation in CI, and human review in one workflow, with a gateway for routing model calls and granular cost analytics. Strong for engineering teams that want production-grade evals tied to their dev loop; it's focused on LLM workloads rather than full-stack infrastructure, and its in-your-cloud (hybrid data-plane) deployment is reserved for the Enterprise tier.

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