Hyground vs Datadog Bits AI

Investigate incidents across every system, not only what Datadog ingests

Datadog Bits AI SRE is the incumbent observability vendor's AI layer; it reasons over telemetry already inside Datadog. Hyground runs inside your cluster and investigates across Datadog, Prometheus, Loki, Elasticsearch, OpenSearch, Confluence, Git, cloud APIs, and ITSM.

Where the agent can actually look

Both products are autonomous AI SRE agents that investigate alerts, form hypotheses, and return evidence-backed root causes. Bits AI SRE runs as SaaS on top of Datadog and is gated by what Datadog has ingested. Hyground deploys via Helm inside your Kubernetes boundary and reads from any observability, code, docs, or ticketing source you already run, including Datadog itself.

Architecture

Where Hyground differs

Six choices that change where your data lives, which telemetry the agent can reason about, and how the bill scales.

Reads every telemetry source, not only Datadog

Hyground investigates across Prometheus, Loki, Elasticsearch, OpenSearch, cloud APIs, ITSM, Confluence, Git, and Datadog as one source among many. Bits AI SRE can only reason about telemetry already in Datadog; its Splunk, Grafana, Dynatrace, and Sentry adapters are Preview-stage knowledge sources, not federated query.

Runs entirely in your cluster

Hyground installs via Helm. Telemetry, prompts, RAG knowledge base, and investigation results stay inside your perimeter, including air-gapped sites. Bits AI SRE is SaaS only, with no customer-hosted, on-prem, or air-gapped option.

Bring or self-host your LLM

Connect Hyground to Azure OpenAI in your tenant, Anthropic, Google Vertex, Bedrock, or self-hosted Ollama via LiteLLM. Bits AI SRE picks the model for you, with no BYO option for customers who must approve providers under GDPR, the EU AI Act, or BaFin.

Grounded in your full knowledge base

Hyground ingests Confluence, Git history, PDFs, and Word docs into a vector store that lives in the cluster. Bits AI SRE reads Confluence pages linked from runbooks plus a single bits.md file in the environment, and indexing happens in Datadog’s cloud.

Read-only by default

Hyground observes and advises; restarting pods, changing configs, or running queries requires explicit opt-in. Bits AI SRE can trigger Datadog Workflow actions for downstream pages, tickets, or rollbacks once wired in, which raises a different compliance bar.

No per-investigation meter

Hyground licenses by deployment tier. Bits AI SRE is a separate SKU at roughly 25 to 30 dollars per conclusive investigation, on top of Datadog's per-host and per-GB platform cost. Noisy environments at 200 conclusive investigations per month run 5,000 to 6,000 dollars per month on Bits AI SRE alone.

EU and air-gap deployable

Hyground deploys to any conformant Kubernetes cluster, including EU-Germany and air-gapped sites. Bits AI SRE is unsupported on Datadog GovCloud, and its EU-region availability is not confirmed in public docs.

Decision

When each platform fits

Bits AI SRE and Hyground are different products: an incumbent SaaS extension and an in-cluster investigation agent. The right fit depends on where your data lives and how broad your stack is.

Choose Hyground when

Your stack spans more than Datadog, or you need sovereignty and customer-chosen LLM providers.

  • Telemetry is split across Datadog and Loki, Prometheus, Elasticsearch, OpenSearch, or Splunk
  • You operate in regulated, sovereign, or air-gapped environments (DACH banking, public sector, healthcare)
  • You must choose, swap, or self-host the LLM that runs your investigations
  • You want investigations grounded in your full Confluence, Git, and PDF history, not only linked runbook pages
  • Read-only AI is a hard requirement for production access

Choose Bits AI when

You are a Datadog shop with the telemetry already in place, have no sovereignty or BYO-LLM requirement, and prefer one SKU on the existing contract.

  • Your full observability stack already lives in Datadog
  • Procurement strongly prefers one more line item on the Datadog renewal
  • You are comfortable with SaaS-only deployment and vendor-controlled model choice
  • You want native access to Watchdog anomalies, Change Tracking, and Continuous Profiler signals
  • You have no specific data-residency or BYO-LLM requirements

See Hyground in action

Try the sandbox, or book a demo to see sovereign AI for DevOps run on your stack.