Elastic Observability is observability built on the Elastic (ELK) Stack, combining powerful log search with metrics, traces and APM, ideal for teams already using Elasticsearch and Kibana. Built on Elasticsearch (search and storage) and Kibana (visualisation), the ELK Stack, Elastic Observability unifies log management, metrics, APM and traces, with the fast, powerful search Elasticsearch is known for, available self hosted (free, open source core) or as managed Elastic Cloud. Popular with teams that already use Elasticsearch for search and logs, or want search driven observability, it leverages the ubiquitous ELK Stack. For Elastic Stack observability and search driven logs, Elastic Observability is a leading choice.
Elastic Observability's distinction is search driven observability on the ubiquitous Elastic Stack. Elasticsearch's fast, powerful search over large volumes of data makes log analysis and observability quick and flexible, and for the many organisations already running the ELK Stack, observability builds on what they know, with open source roots and managed cloud. That search power and Elastic Stack foundation set it apart.
Elastic Observability is best for teams already using the Elastic (ELK) Stack for search and logs, or wanting fast, search driven log management and observability, self hosted for control or via Elastic Cloud. It suits Elastic Stack and search focused teams. It is a weaker fit for teams wanting a fully managed all in one commercial platform with no stack to run, where Datadog or Dynatrace fit, or those wanting the leading open dashboards specifically, where Grafana fits.
The core strengths are log management with powerful Elasticsearch search, plus metrics, APM and traces, visualised in Kibana, unified as observability on the ELK Stack, self hosted or managed. Elastic offers Elastic agents, OpenTelemetry support, machine learning, and overlap with security (Elastic SIEM). Its search power, Elastic Stack foundation and unified logs, metrics and traces are its defining advantages.
The Elastic Stack has a free, open source core you can self host (paying infrastructure), while Elastic Cloud is usage based (by resources and data), with a trial and tiered subscriptions adding features. So teams can self host free or pay for managed cloud and enterprise features. Costs scale with data and resources. Model your data volume. Confirm details via the Elastic pricing page.
Elastic integrates via Elastic agents and integrations with many data sources, OpenTelemetry, cloud services and tools, within the broad Elastic ecosystem (search, observability, security). Its agents, integrations and the ubiquitous Elastic Stack, which let teams ingest and search data across their environment, support its observability and are familiar to ELK users.
Search driven observability is the signature strength: Elasticsearch's fast, powerful search over large data volumes makes investigating logs and telemetry quick and flexible, and builds on the ELK Stack many teams already run, so observability leverages familiar, capable search. For Elastic Stack users and search focused teams, this is the main reason to choose Elastic Observability.
Elastic Observability is well rated for search power, flexibility and ELK familiarity, with good support, though running the stack at scale takes expertise and reviewers note tuning and cost at high volume. Its G2 reviews praise search, ELK integration and flexibility, with operating the stack and cost the main considerations.
For teams already using the Elastic Stack or wanting fast, search driven log management and observability, self hosted or via Elastic Cloud, Elastic Observability is a capable, well rated choice. The main caution is operating the stack and cost at volume, so teams wanting a fully managed all in one platform may prefer Datadog or Dynatrace, and those wanting the leading open dashboards Grafana, but for Elastic Stack observability it leads.
These observability & log management tools come up most often against Elastic Observability.
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Full-stack observability and application monitoring