--- description: Detaillierte Informationen über Google Cloud zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Austria. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Google Cloud Kosten, Erfahrungen & Bewertungen - Capterra Österreich 2026 --- Breadcrumb: [Startseite](/) > [Data Discovery Tools](/directory/31129/data-discovery/software) > [Google Cloud](/software/170983/google-cloud-platform) # Google Cloud Canonical: https://www.capterra.at/software/170983/google-cloud-platform Seite: 1 / 95\ Zurück: [Nächste Seite](https://www.capterra.at/software/170983/google-cloud-platform?page=2) > Cloud Platform ist eine Reihe modularer Cloud-basierter Dienste, mit denen du alles erstellen kannst, von einfachen Websites bis hin zu komplexen Anwendungen. > > Bewertung: **4.7/5** von 2331 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet Google Cloud? Entwickler\*innen, IT, DBAs und Kund\*innen aller Unternehmensgrößen ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.7/5** | 2331 Nutzerbewertungen | | Bedienkomfort | 4.5/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.3/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.4/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.6/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Google ## Gewerblicher Kontext - **Preismodell**: (Kostenlose Version verfügbar) (Gratis Testen) - **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert - **Unterstützte Sprachen**: Chinesisch, Chinesisch (traditionell), Deutsch, Englisch, Französisch, Indonesisch, Italienisch, Japanisch, Koreanisch, Niederländisch, Portugiesisch, Spanisch, Türkisch - **Verfügbare Länder**: Afghanistan, Albanien, Algerien, Amerikanisch-Samoa, Amerikanische Jungferninseln, Andorra, Angola, Anguilla, Antigua und Barbuda, Argentinien, Armenien, Aruba, Aserbaidschan, Australien, Bahamas, Bahrain, Bangladesch, Barbados, Belarus, Belgien und 208 weitere ## Funktionen - API - Aktivitätsüberwachung - Alarmfunktion / Benachrichtigungen - Alerts/Escalation - Anpassbares Dashboard - Anti-Virus - Aufgabenmanagement - Authentifizierung - Automatisierung von Geschäftsprozessen - Backup und Recovery - Bedrohungsanalyse - Compliance-Verfolgung - Dashboard Software - Dateitransfer - Daten-Identifizierung - Datenerfassung und Übertragung - Datenmanagement - Datenspeicher-Management - Datensynchronisation - Datenvisualisierung - Datenvorbereitung in Selbstbedienung - Dokumentenspeicher - ETL - Extract Transfer Load - Endpoint Management - Erkennungssystem für unberechtigte Eingriffe - Global Network - Integrierte Entwicklungsumgebung - Lastverteilung - Leistungsanalyse - Leistungsüberwachung - ML-Algorithmusbibliothek - Mehrfache Datenquellen - Modell-Training - Projektmanagement - Real-Time Monitoring - Remote-Zugriff/-Kontrolle - Risikomanagement - Server-Überwachung - Sichere Datenspeicherung - Statusverfolgung - Third-Party Integrations - Threat Response - Unterstützung mehrerer Geräte - Verarbeitung von hohen Volumen - Verschlüsselung - Virtualisierung - Virtuelle Maschinen-Überwachung - Virtueller Server - Visuelle Analytik - Workflow-Konfiguration ... und 56 weitere Funktionen ## Integrationen (32 insgesamt) - Gmail - Google Docs - Google Drive - Google Workspace - HubSpot CRM - Jira - Microsoft SharePoint - Netskope Active Platform - OneDrive - OpsGenie - Oracle Database - PagerDuty - SendGrid - ServiceNow - Shopify ... und 17 weitere Integrationen ## Optionen für Kundensupport - E-Mail/Helpdesk - FAQ/Forum - Wissensdatenbank - Telefon-Support - Chat ## Category - [Data Discovery Tools](https://www.capterra.at/directory/31129/data-discovery/software) ## Ähnliche Kategorien - [Data Discovery Tools](https://www.capterra.at/directory/31129/data-discovery/software) - [Cloud Security Software](https://www.capterra.at/directory/31344/cloud-security/software) - [Disaster Recovery ](https://www.capterra.at/directory/30207/disaster-recovery/software) - [Backup-Software](https://www.capterra.at/directory/31076/backup/software) - [BI-Tools](https://www.capterra.at/directory/23/business-intelligence/software) ## Alternativen 1. [Cove Data Protection](https://www.capterra.at/software/163343/backup-and-recovery) — 4.6/5 (375 reviews) 2. [Oracle Cloud Infrastructure (OCI)](https://www.capterra.at/software/203476/oracle-cloud-infrastructure) — 4.6/5 (21 reviews) 3. [Cohesity](https://www.capterra.at/software/166007/cohesity) — 4.6/5 (54 reviews) 4. [Splunk Enterprise](https://www.capterra.at/software/94317/splunk) — 4.6/5 (267 reviews) 5. [MongoDB](https://www.capterra.at/software/127374/mongodb) — 4.7/5 (473 reviews) ## Nutzerbewertungen ### "Google Cloud Get Loud" — 5.0/5 > **Tyler** | *20. August 2026* | Computer-Software | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: It packs the A-grade quality people come to expect from Google. I liked that documentation for a new user was clear and extensive > > **Nachteile**: Nothing to complain about though i felt the $300 credit offer was misleading in which aspects it could be used. > > Its been more than useful and I definitely plan on continuing because i already have my project painstakingly wired in\! ----- ### "Great for data and ML work, billing takes a while to figure out" — 4.0/5 > **Dhruv** | *18. August 2026* | Computer- & Netzwerksicherheit | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: I mostly use GCP for data engineering and ML side projects and it's honestly the easiest of the big clouds for that. BigQuery is the main reason I stick with it .I can dump a few hundred GB of scraped data in and query it in seconds without setting up any infra. The Gemini API and Vertex AI plug straight into Cloud Storage and Cloud Run, so going from a notebook to a live endpoint doesn't take much. > > **Nachteile**: Billing is the biggest pain point. Costs across projects and services are hard to trace, and I've been surprised by BigQuery scan costs and egress more than once. IAM is powerful but there are way too many predefined roles and figuring out least-privilege setups is mostly trial and error. > > I've used GCP to ingest scraped and structured data into BigQuery and Cloud SQL (Postgres), run LLM workloads through the Gemini API, and deploy small services on Cloud Run. ----- ### "First choice for AI and large data processing, as well as K8s workflows" — 3.0/5 > **connor** | *16. April 2026* | Medienproduktion | Empfehlungsbewertung: 6.0/10 > > **Vorteile**: Espcially strong for compute, data, analytics and container native workloads. It has a known reputation for Kubernetes and managed services, which makes it attractive for teams building cloud native apps or platforms. It tends to excel with large scale data- processing and Ai workflows. > > **Nachteile**: The biggest issue with GCP is that it often feels less familiar with AWS and Azure in enterprise environments, which isn't great considering that navigating either of those alone doesn't feel very intuitive. in an enterprise environment this can mean even fewer teams or administrators knowing the tooling and how to efficiently leverage it. The learning curve coming from a MS background is incredibly steep and the difficulties with mapping concepts between GCP and Microsoft on-prem means that it's difficult to have high level standardisations and cleanly integrated workflows. > > It is overall a strong choice when performance with large data sets and/or K8s are the highest priority. It would be best suited to teams that are already cloud-native or familiar with containerised workflows and are comfortable building to those specifications. For more traditional environments, it can provide great functionality but is likely to be bottlenecked by the expertise of the administrators managing the platform. ----- ### "Good product, harder when your org lives in both Google and Microsoft" — 4.0/5 > **Blake** | *17. Juni 2026* | Einzelhandel | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: On the education side of our organization, Google Workspace has been a natural fit. Students and staff are already familiar with Google Docs and Drive, so the adoption curve is basically nonexistent compared to standing up a Microsoft environment from scratch. Collaboration in real time on shared documents works smoothly and the storage management across users is easy to oversee from the admin console. For that use case it genuinely earns its place. > > **Nachteile**: Where it starts to feel inconsistent is when you're trying to bridge the Google side with a Microsoft-heavy environment. Our main org runs on OneDrive and Microsoft 365, and keeping those two ecosystems from stepping on each other takes more active management than it should. File format compatibility between Google Docs and Word/Excel isn't always clean, and staff who float between both sides end up having to think about which version of a file lives where. It's a solvable problem but it adds friction that wouldn't exist if everything was on one platform. > > Running Google Cloud alongside OneDrive is a bit of a juggling act, but for our situation it makes sense. The school side benefits from the Google ecosystem and the rest of the organization lives in Microsoft. Google Cloud itself is reliable and the pricing for education is hard to beat, it's really just the dual-platform overhead that creates headaches. If your whole org is already in one ecosystem this is a much cleaner experience, but managing both is workable with the right processes in place. ----- ### "Flexible Cloud Platform for Data and Application Workloads" — 5.0/5 > **Verifizierter Rezensent** | *19. September 2026* | Bildungsmanagement | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: What I like most about Google Cloud is the range of services available for working with data, applications, and cloud infrastructure. The platform gives me flexibility to store and manage data, build analytics workflows, and connect different services as needed. I also find the console and access controls useful when managing resources across projects. The ability to scale resources based on requirements is another strong point > > **Nachteile**: The number of services and configuration options can make the platform feel overwhelming at first. Understanding pricing can also take some time because costs depend on the services and resources being used. Some advanced configurations require a good level of cloud knowledge, especially when setting up permissions and connecting multiple services. > > My overall experience with Google Cloud has been positive. I use it for cloud-based data management, analytics, storage, and working with different development services. The platform provides a good balance of flexibility and scalability, and I like being able to manage multiple resources from one environment. There is a learning curve, but once the setup is understood, it becomes a reliable platform for data and cloud-related work. ----- Seite: 1 / 95\ Zurück: [Nächste Seite](https://www.capterra.at/software/170983/google-cloud-platform?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.at/software/170983/google-cloud-platform) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | ko | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Strukturierte Daten