Capabilities |  |  |
|---|---|---|
Search and investigate your logs quickly | Loki is optimized for the label-filtered, structured queries that SREs use most during incidents: filter by service, time range, and log level; aggregate; correlate with metrics. For these patterns it’s fast at a fraction of the storage cost. Learn more | Industry-leading full-text search. For ad-hoc, unstructured log queries, Elasticsearch is among the fastest options available. |
Troubleshoot every layer of your stack
| Logs, metrics, traces, and profiles share one UI, common labels, and a unified alert model. Pivot between signals in tailored views for your frontend, backend, databases, infrastructure.
Learn more | Strong individual observability products for logs, metrics, and APM. Combining them into a coherent workflow typically requires managing Elastic APM, ELK Stack, and Kibana as distinct systems. |
Keep observability costs predictable as you grow | Loki stores logs on object storage with a label index. Adaptive Telemetry automatically reduces ingest volume across logs, metrics, and traces, so costs track your actual signal value, not raw data volume. Learn more | Full indexing at ingest means storage scales with index size (often larger than raw log data). Memory allocation drives cluster tier costs. Data Transfer & Storage fees apply in Elastic Cloud. |
Instrument once with open standards | Native OTLP ingest; no format conversion. Grafana Labs is a top-10 OTel contributor with a seat on the governing board. Grafana Alloy is 100% OTel compatible. Learn more | Accepts OpenTelemetry data, but converts it to Elastic Common Schema (ECS) at ingest. Full-fidelity APM still benefits from the Elastic Agent for complete coverage. |
Visualize and alert on data from anywhere | 150+ data source plugins let you query and correlate Elastic, Prometheus, CloudWatch, databases, and more in the same dashboard, with no data migration required. Learn more | Billing uses Compute Capacity Units (CCUs)—every query, alert evaluation, or API call consumes CCUs, making growth hard to predict. |
Investigate incidents faster with AI
| Grafana AI Assistant can investigate incidents across your Grafana-native data sources and MCP integrations. The Knowledge Graph maps service relationships from OTel and Prometheus data automatically, to help surface root cause. Learn more | Elastic ML and anomaly detection are mature and performant. Elastic Assistant is available for search and observability workflows within the Elastic platform. |
Elasticsearch vs Grafana Cloud
Open standards, predictable bills, and unified incident response
Get the full observability picture without indexing the whole haystack
スタートアップからフォーチュン500まで、誰からも信頼されています。
Looking for the Elastic plugin? It helps you visualize Elastic data within Grafana.
Visit plugin pageWhy teams choose Grafana Cloud over Elastic
Elastic is a powerful search platform, but when engineering teams are scaling their observability practice, many reach for Grafana Cloud: an observability-focused platform that unifies logs, metrics, traces, and profiles in one place, with economics designed for the volume of data produced by cloud-native applications.
Pay for the signals you use, not every word you index
Elasticsearch indexes everything. For observability log volumes, that model comes with a cost: storage grows well beyond your raw log size and tuning the system can consume significant engineering time. Grafana Cloud takes a different approach: store operational logs on inexpensive object storage and index only the metadata needed to route queries. Teams that switch report lower log bills and operational overhead.
“We were spending half of our time making sure everything was up and running with the ELK Stack and tuning our logs continuously.”
OpenTelemetry-first, from collection to query
Grafana Labs holds a seat on the OpenTelemetry governing board and is a top OTel contributor. Grafana Alloy is a fully OTel-native collector: your instrumentation stays in standard format all the way from collection to storage to query. This matters when you want to swap backends, add new signal types, or simply avoid being locked into a proprietary schema.
“Having made the jump to OpenTelemetry as part of working with Grafana, I lose less sleep about what could potentially come next.”
Every signal in one place: no context switching
Elastic has expanded its observability offering over the years, but many teams still find themselves managing Elastic APM, the ELK stack, and Kibana as distinct products with different configurations and data models. Grafana Cloud was built ground-up for observability: logs, metrics, traces, and profiles share a single UI, common labels, and a unified alert model. When an incident starts, you can pivot between related signals without leaving the screen.
“With [Grafana Cloud] we have one tool for anything and everything about observability. We can prepare our own dashboards from every single data source. We don’t need to switch between consoles in order to analyze a crisis or an incident.”
Start alongside Elastic—migrate at your own pace
Grafana Cloud includes a native Elasticsearch data source, so your team can start building unified dashboards across Elastic and other tools on day one before migrating a single byte. Many teams run Grafana on top of Elastic for weeks or months before deciding to move log workloads over, which keeps risk low and gives teams time to build confidence.
“We’ve had migrations from Datadog. We’ve moved from Elastic. Grafana has been really the key to helping show us the way to do it.”
Grafana Labs: オブザーバビリティプラットフォームのための2025年Gartner® Magic Quadrant™でのリーダー
ガートナーは、実行能力とビジョンの完全性に基づいて20社のベンダーを評価し、Grafana Labsはビジョンの完全性で最も遠くに位置付けられました。
Gartner®、オブザーバビリティプラットフォーム向けのマジック・クアドラント™、著：Gregg Siegfried、Matt Crossley、Padraig Byrne、Andre Bridges、Martin Caren、2025年7月7日
ガートナーおよびマジック・クアドラントは、Gartner, Inc.および/またはその関連会社の商標です。
ガートナーは、その出版物に描かれている企業、ベンダー、製品、サービスを支持せず、また、最高評価またはその他の指定を受けたベンダーのみを選択するよう技術ユーザーに助言することはありません。ガートナーの出版物は、ガートナーのビジネスとテクノロジーのインサイト組織の意見で構成されており、事実の陳述として解釈すべきではありません。ガートナーは、この出版物に関していかなる保証も否認します。商品性または特定の目的への適合性に関するいかなる保証も含め、明示または暗示のいかなる保証も否認します。
このグラフィックは、ガートナー社によってより大きな調査文書の一部として発表されたものであり、文書全体の文脈で評価されるべきです。ガートナーの文書は、Grafana Labsにリクエストすると入手できます。
Scope & identify
Align on a migration timeline
Set and agree on key outcomes
Identify potential blockers early
Build open communication channels
Define & design
Define observability requirements
Catalogue existing observability assets
Develop a migration blueprint
Design Grafana best practices for your organization
Ready to try Grafana?
Whether you’re trying to cut costs, simplify your stack, or just get more out of your telemetry, Grafana Cloud can help.
