B2B SaaS Provider · vs · B2B SaaS Provider
Elastic vs SigNoz
Strukturierter Technologie- und Marktvergleich · Stand 2026
Direkte Merkmalsgegenüberstellung
Elastic · vs · SigNozEnterprise Search, Observability und Security-Software basierend auf Elasticsearch.
OpenTelemetry-native Open-Source-APM- und Observability-Plattform für moderne Software-Engineering- und SRE-Teams.
Vergleichsanalyse & Key Insights
Was ist der Hauptunterschied zwischen Elastic und SigNoz?
Beim Vergleich von Elastic und SigNoz agieren beide Plattformen im Bereich B2B SaaS Provider. Elastic ist positioniert als Enterprise Search, Observability und Security-Software basierend auf Elasticsearch, während SigNoz den Schwerpunkt auf OpenTelemetry-native Open-Source-APM- und Observability-Plattform für moderne Software-Engineering- und SRE-Teams legt. Beide Anbieter stellen komplementäre wie auch konkurrierende Kernfähigkeiten für den Markt bereit.
Welche Alternativen gibt es zu Elastic und SigNoz?
Bei der Evaluierung von Elastic und SigNoz prüfen Enterprise-Entscheider häufig auch weitere Plattformen im Bereich B2B SaaS Provider. Die erweiterte Wettbewerbslandschaft und detaillierte Marktprofile findest du direkt auf Polaris7.
Echtzeit-Beobachtung
Aktuelle Marktsignale & News: Elastic vs SigNoz
Öffentlich erfasste Marktbewegungen, Partnerschaften, Produkt-Updates und strategische Ankündigungen aus dem Knowledge-Graphen.
Elastic
Letzte Aktivitäten
- ·SEC APIfinancials
10-Q Financial Filing Analysis for Elastic (2026-08-28)
Elastic N.V. hat die Finanzergebnisse für das zum 31. Juli 2026 beendete erste Quartal des Geschäftsjahres 2027 veröffentlicht und einen Gesamtumsatz von 478,11 Millionen USD erzielt, was einem Anstieg von 15 % im Jahresvergleich entspricht. Haupttreiber war Elastic Cloud mit einem Wachstum von 20 % im Jahresvergleich auf 235,21 Millionen USD, was 49 % des Gesamtumsatzes ausmacht. Parallel leitete Elastic am 24. Juni 2026 einen Restrukturierungsplan zur operativen Optimierung ein, der einen Stellenabbau von rund 7 % und Restrukturierungskosten von 19,92 Millionen USD umfasste. Zudem akquirierte Elastic nach Quartalsende am 21. August 2026 die KI-Ermittlungsplattform Deductive AI, Inc. für ca. 70 Millionen USD in bar.
- Der Gesamtumsatz im ersten Quartal des GJ 2027 stieg im Jahresvergleich um 15 % auf 478,11 Mio. USD, getrieben von Elastic Cloud mit einem Plus von 20 % auf 235,21 Mio. USD (49 % des Gesamtumsatzes).
- Ein am 24. Juni 2026 initiierter Restrukturierungsplan führte zu einem Stellenabbau von 7 % und Belastungen in Höhe von 19,92 Mio. USD.
- Nach Quartalsende wurde am 21. August 2026 die Barübernahme von Deductive AI, Inc. für rund 70 Mio. USD abgeschlossen.
- ·https://martechseries.com/feed/Hiring
Elastic Nominates Julia Liuson to Board
Elastic announced the nomination of Julia Liuson to its Board of Directors. Liuson is a veteran technology executive who most recently served as President of Microsoft’s Developer Division and played a leadership role in integrating AI into developer tools including work with GitHub. Her nomination is subject to shareholder approval at Elastic’s annual general meeting in October 2026; if elected she will join the company’s Compensation Committee. The release also notes that Caryn Marooney will not stand for re-appointment when her term expires in October 2026. Elastic positioned the nomination as adding AI and developer-platform expertise as the company pursues opportunities connecting AI applications and agents to enterprise data for observability and security use cases.
- Elastic nominated Julia Liuson to its Board of Directors.
- Julia Liuson most recently served as President of Microsoft’s Developer Division and worked on GitHub integrations such as GitHub Copilot.
- Liuson’s nomination is subject to a shareholder vote at Elastic’s 2026 annual general meeting in October 2026.
- ·https://martechseries.com/feed/M&A
Elastic Completes Deductive AI Acquisition
Elastic announced it has completed the acquisition of Deductive AI, an AI-powered investigation platform that automates production-incident investigation and root-cause analysis. Elastic says the acquisition advances Elastic Observability by adding a reinforcement-learning-powered investigation engine and an AI SRE agent that gathers evidence, forms and tests hypotheses across code, telemetry, and organizational knowledge. Elastic CEO Ash Kulkarni and Deductive AI cofounder and former CEO Rakesh Kothari are quoted on the strategic fit and expected acceleration of AI-powered investigation capabilities. Existing Deductive AI customers will continue to receive support while integration plans and additional roadmap details are developed and shared in the coming months.
- Elastic completed the acquisition of Deductive AI (announced on August 25, 2026).
- Deductive AI is an AI-powered investigation platform that provides an AI SRE agent to gather evidence, form and test hypotheses, and determine root cause across code, telemetry, and organizational knowledge.
- Elastic said the acquisition advances Elastic Observability by adding a reinforcement-learning harness for root cause analysis.
SigNoz
Letzte Aktivitäten
- ·DEV CommunityApplication Performance Monitoring
Deploying SigNoz with ClickHouse v25 and OTel Gotchas
A developer describes troubleshooting and deployment patterns for self-hosting SigNoz in 2026, focusing on ClickHouse v25 configuration changes, OpenTelemetry Collector incompatibilities, and Docker network isolation. Key recommendations include using config.d/users.d for ClickHouse overrides (instead of replacing the main config), enforcing a deterministic docker-compose boot sequence with one-shot migrator containers (signoz_init_clickhouse and signoz_telemetrystore_migrator), updating exporter names and image tags for the OTel collector (use signozclickhousemetrics and include the 'v' prefix), and relying on internal Docker network isolation rather than per-component passwords to simplify connectivity. The post emphasizes that maintaining self-hosted observability infrastructure requires ongoing engineering effort.
- Author self-hosted SigNoz for Verne Software to control telemetry data.
- ClickHouse v25+ changes require using config.d/ and users.d/ for overrides instead of replacing the main config file.
- SigNoz deployments must run one-shot containers (signoz_init_clickhouse and signoz_telemetrystore_migrator) to install UDFs and create required databases before starting collectors.
- ·DEV CommunityApplication Performance Monitoring (APM)
Integrating AI Agents with Self-Hosted SigNoz
An engineer describes building ArcNet to instrument and monitor an AI agent fleet using a self-hosted SigNoz instance. The write-up covers installation (SigNoz v0.133.0 via foundryctl), lessons about verifying emitted OpenTelemetry attributes (the Agno instrumentor emitted OpenInference conventions rather than gen_ai.*), turning guardrail results into structured span attributes for alerting, the need to use SigNoz's v5 alerts queries payload, using raw ClickHouse SQL panels as an escape hatch, and the distinction between telemetry (traces in SigNoz/ClickHouse) and replayable session transcripts (stored separately in SQLite). The author notes SigNoz MCP was unreliable in their setup and links code on GitHub.
- Author built ArcNet on self-hosted SigNoz for the Agents of SigNoz hackathon.
- SigNoz v0.133.0 was used and installed with foundryctl (casting.yaml + casting.yaml.lock produced reproducible deployments).
- The Agno instrumentor (openinference-instrumentation-agno) emitted OpenInference semantic conventions rather than OpenTelemetry gen_ai.* attributes, causing initially empty dashboards.
- ·DEV CommunityApplication Performance Monitoring (APM)
Instrumenting MERN E‑Commerce with SigNoz
A developer case study describing how the author instrumented a MERN-stack e-commerce application called Ram Store with SigNoz and OpenTelemetry during the Agents of SigNoz Hackathon 2026. The project used a self-hosted SigNoz instance (Docker) and the OpenTelemetry Node SDK with automatic instrumentation for Express, HTTP, and MongoDB, exporting via OTLP gRPC. The instrumentation enabled distributed traces, runtime metrics, and structured logs (Winston) correlated inside SigNoz. The post covers setup steps, observed telemetry (traces, metrics, logs), challenges (Docker networking, configuration), lessons learned, and planned improvements like custom dashboards and alerting. Project source code and a demo video are linked.
- Author integrated SigNoz into a MERN e-commerce application named Ram Store as part of the Agents of SigNoz Hackathon 2026.
- SigNoz was self-hosted locally using Docker to provide observability dashboards.
- OpenTelemetry Node SDK with automatic instrumentation was configured for Express, HTTP, and MongoDB, using an OTLP gRPC exporter.
Exakte Ökosystem-Überschneidungen vergleichen
Erkunde alle tiefen Marktbeziehungen in Polaris7. Entdecke gemeinsame Kunden, integrierte Technologien, SDK-Schnittstellen und überlappende Partner von Elastic und SigNoz im Markt-Ökosystem.