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LogHouse vs Datadog Logs
Datadog is a full observability platform. LogHouse is a managed log platform. Many teams use both: Datadog for monitors and APM, LogHouse for high-volume and long-retention logs.
Datadog capabilities and list prices change. This comparison describes typical product shape, not a quote or a claim that LogHouse replaces Datadog APM, metrics, or security products.
| Category | LogHouse | Datadog Logs |
|---|---|---|
| Pricing model | Usage-based ingest on analytical log infrastructure, with a public planning rate of $0.15/GB. | Typically ingest plus indexed/query-ready storage, retention, and optional Flex or archive products. |
| Log ingestion | HTTP API and collector pipelines, including OpenTelemetry Collector exporters. | Agents, APIs, and pipelines designed around the Datadog platform. |
| Search | LogHouse explorer and API over retained analytical storage. | Datadog Log Explorer, tightly integrated with monitors and other Datadog products. |
| Retention | Designed so weeks and months of high-volume logs remain searchable without a separate rehydration step as the default path. | Standard retention plus Flex/archive options with different query characteristics. |
| Operational burden | Managed service. No ClickHouse cluster to run. | SaaS. No cluster to run; cost and volume policy still need active management. |
| OpenTelemetry | Vendor-neutral ingest is a first-class path. | Supported; Datadog also has first-party agents and product-specific fields. |
| Existing observability integration | Intended to sit beside Datadog, Grafana, and APIs. | Best when the rest of the stack is already Datadog. |
| Managed infrastructure | Yes — ingest, storage, query, tokens, retention. | Yes — as part of the broader Datadog platform. |