B2B SaaS Provider
Elastic vs Grafana Labs
Structured technology and market comparison · 2026
Direct Feature Comparison
Elastic · vs · Grafana LabsEnterprise search, observability and security software built on Elasticsearch.
Open-source observability platform with cloud and enterprise subscriptions.
Analyze all overlapping signals and tech stacks for Elastic and Grafana Labs
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Elastic and Grafana Labs?
When comparing Elastic and Grafana Labs, both platforms operate within the Cloud Data Warehouse / Data Lake, B2B SaaS Provider, and Measurement & Analytics Platform ecosystem. Elastic is positioned as Enterprise search, observability and security software built on Elasticsearch, whereas Grafana Labs focuses on Open-source observability platform with cloud and enterprise subscriptions. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Elastic and Grafana Labs?
When evaluating Elastic and Grafana Labs, enterprise buyers also consider other platforms in Cloud Data Warehouse / Data Lake, B2B SaaS Provider, and Measurement & Analytics Platform. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Elastic and Grafana Labs compare?
Elastic is headquartered in Netherlands (founded in 2012) with 1,001–5,000 employees. Grafana Labs is based in United States (founded in 2014) with 501–1,000 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Elastic vs Grafana Labs
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Elastic
Recent Signals
- ·SEC APIfinancials
8-K Financial Filing Analysis for Elastic (2026-08-27)
On August 24, 2026, non-executive director Caryn Marooney informed the Board of Directors of Elastic N.V. that she will not stand for re-appointment when her term ends at the Annual General Meeting in October 2026. The departure is amicable and not related to any disagreements regarding the company's operations, policies, or practices. Concurrently, on August 26, 2026, the Board nominated Julia Liuson, former President of Microsoft's Developer Division, to succeed her as a non-executive director and join the Compensation Committee, subject to shareholder approval at the 2026 AGM.
- Caryn Marooney to step down as non-executive director upon term expiration at the October 2026 AGM, stepping down from the Compensation and Nominating Committees without dispute.
- Julia Liuson nominated on August 26, 2026, to stand for appointment as a non-executive director and member of the Compensation Committee, subject to shareholder vote at the 2026 AGM.
- Julia Liuson brings extensive enterprise developer and AI background, having served as President of Microsoft's Developer Division until June 2026 and currently serving on the board of Cadence Design Systems.
- ·Elastic
Better together: Celebrating the 2026–2027 Elastic Partner Awards
We created the Elastic Partner Awards to recognize our partners' contributions and the results they are delivering for customers. See who the Elastic Partner Award winners are for 2026–2027!
- ·SEC APIfinancials
10-Q Financial Filing Analysis for Elastic (2026-08-28)
Elastic N.V. reported its financial results for the first quarter of fiscal 2027 ended July 31, 2026, delivering total revenue of $478.11 million, up 15% year-over-year. The growth was led by Elastic Cloud, which increased 20% year-over-year to $235.21 million and now represents 49% of total company revenue. Concurrently, Elastic initiated a restructuring plan on June 24, 2026, to streamline operations, involving a 7% workforce reduction and $19.92 million in restructuring charges. Further expanding its product capabilities, Elastic also executed a post-quarter cash acquisition of Deductive AI, Inc. for approximately $70 million.
- Q1 FY2027 total revenue rose 15% year-over-year to $478.11 million, with Elastic Cloud increasing 20% to $235.21 million (49% of total revenue).
- Restructuring plan initiated on June 24, 2026, resulted in a 7% workforce reduction and $19.92 million in restructuring and related charges.
- Post-quarter cash acquisition of Deductive AI, Inc. closed on August 21, 2026, for approximately $70 million.
Grafana Labs
Recent Signals
- ·Grafana Labs
Tempo 3.1 release: new features for Kafka, TraceQL metrics updates, trace redaction, and more
Grafana Labs blog features a new post on Tempo 3.1 release with new features for Kafka, TraceQL metrics updates, trace redaction, and more.
- ·DEV CommunityApplication Performance Monitoring (APM)
Observability Stack: Prometheus, Node Exporter, Grafana
A technical how-to explaining the three-piece observability stack: Prometheus (time-series database that scrapes metrics), Node Exporter (exposes OS-level metrics at a /metrics HTTP endpoint), and Grafana (visualizes Prometheus data as dashboards). The article describes the pull-based model Prometheus uses, the role of Node Exporter as a translator of OS stats, how Grafana queries Prometheus, default ports (Prometheus 9090, Node Exporter 9100, Grafana 3000), basic install commands, a sample prometheus.yml with scrape_interval and job_name, and next steps such as adding scrape targets, writing PromQL queries, and adding Alertmanager for notifications.
- Prometheus is a time-series database and monitoring system that scrapes metrics from HTTP endpoints and exposes its own metrics on port 9090.
- Node Exporter exposes hardware and OS-level metrics at a /metrics endpoint (default port 9100) and is typically installed one-per-machine.
- Grafana queries Prometheus (e.g., via PromQL) to render dashboards and runs by default on port 3000; it stores no metrics itself.
- ·DEV CommunityInternal Developer Platform (IDP)
Building an Internal Developer Platform on Azure AKS
This technical article explains how to create an Internal Developer Platform (IDP) using Azure Kubernetes Service (AKS). It outlines core components including AKS as the managed Kubernetes backbone, a service mesh (e.g., Istio or Linkerd) for microservice communication, CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for automated build and deployment, monitoring and logging tools (Azure Monitor, Prometheus, Grafana, Azure Log Analytics), and security/compliance controls (RBAC, Pod Security Policies, Azure Policy, Azure Security Center). The piece describes an example developer workflow from code push to production and summarizes benefits such as increased efficiency, scalability, security, and consistency.
- An Internal Developer Platform (IDP) is a set of tools, processes, and automations that simplifies development, testing, and deployment for developers.
- Azure Kubernetes Service (AKS) is presented as the central managed Kubernetes environment where containerized applications run.
- Service meshes such as Istio or Linkerd are recommended to manage microservice communication, including load balancing, traffic management, and security policies.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Elastic and Grafana Labs share across the market ecosystem.
Unlock full capability matrix, client overlaps & technology stacks
