--- description: Ausführliche Erfahrungsberichte zu Google Cloud BigQuery mit detaillierten Infos zu Funktionen, Preisen und Bewertungen. Verschaff dir einen schnellen Überblick zu Benutzerfreundlichkeit, Vor- und Nachteilen & vergleiche Google Cloud BigQuery dank GetApp Austria mit ähnlichen Produkten. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Google Cloud BigQuery Erfahrungen, Kosten & Bewertungen | GetApp Österreich 2026 --- Breadcrumb: [Startseite](/) > [BI-Tools](/directory/318/business-intelligence/software) > [Google Cloud BigQuery](/software/2057619/google-cloud-bigquery) # Google Cloud BigQuery Canonical: https://www.getapp.at/software/2057619/google-cloud-bigquery Seite: 1 / 3\ Zurück: [Nächste Seite](https://www.getapp.at/software/2057619/google-cloud-bigquery?page=2) > BigQuery ist ein serverloses Multi-Cloud-Data-Warehouse, das dir hilft, Big Data in wertvolle Geschäftseinblicke zu verwandeln. Nutzer können strukturierte Daten abfragen, ohne sie speichern oder erst in ihre eigenen Systeme laden zu müssen. BigQuery bietet erweiterte Funktionen wie verschachtelte, wiederholte und komprimierte spaltenbasierte Datenspeicherung. > > Bewertung: **4.6/5** von 35 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.6/5** | 35 Nutzerbewertungen | | Bedienkomfort | 4.4/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 3.9/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.2/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.7/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Google ## Gewerblicher Kontext - **Startpreis**: $ 2 000,00 - **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, Deutsch, Englisch, Französisch, Italienisch, Japanisch, Koreanisch, Portugiesisch, Spanisch - **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 - Ad-hoc-Analyse - Ad-hoc-Anfrage - Ad-hoc-Berichterstattung - Anpassbare Vorlagen - Automatische Extraktion - Dashboard-Erstellung - Data Clustering - Data Mining - Data Warehousing (Datenlager) - Daten-Connectors - Daten-Identifizierung - Daten-Import / -Export - Datenaggregation und -veröffentlichung - Datenbank-Unterstützung - Datenbereinigung - Datenintegration - Datenklassifizierung - Datenmanagement - Datenmigration - Datentransformation ## Integrationen (8 insgesamt) - Google Ads - Google Analytics 360 - Google Campaign Manager 360 - Google Cloud Bigtable - Google Cloud Compute Engine - Google Data Studio - Looker - Vertex AI ## Optionen für Kundensupport - E-Mail/Helpdesk - FAQ/Forum - Wissensdatenbank - Telefon-Support - Chat ## Category - [BI-Tools](https://www.getapp.at/directory/318/business-intelligence/software) ## Ähnliche Kategorien - [BI-Tools](https://www.getapp.at/directory/318/business-intelligence/software) - [Predictive Analytics Tools](https://www.getapp.at/directory/628/predictive-analytics/software) - [Big Data Software](https://www.getapp.at/directory/603/big-data/software) - [Datenanalyse Tools](https://www.getapp.at/directory/1129/data-analysis/software) - [Data Extraction Software](https://www.getapp.at/directory/1157/data-extraction/software) ## Alternativen 1. [Minitab](https://www.getapp.at/software/125155/minitab-statistical-software) — 4.5/5 (388 reviews) 2. [Microsoft Power BI](https://www.getapp.at/software/102847/power-bi) — 4.6/5 (1871 reviews) 3. [Google Analytics 360](https://www.getapp.at/software/90997/google-analytics) — 4.7/5 (8089 reviews) 4. [Tableau](https://www.getapp.at/software/90797/tableau-software) — 4.6/5 (2348 reviews) 5. [Google Cloud](https://www.getapp.at/software/122483/google-cloud-platform) — 4.7/5 (2263 reviews) ## Nutzerbewertungen ### "BigQuery for a Data Engineer" — 5.0/5 > **Luis** | *27. September 2022* | Bildungsmanagement | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: For someone like me who works on the complete cycle of the data, it turns out to be a very good tool, since it allows us to do the complete cycle, from the initial step that is to put together a good ETL, clean our data, and be able to present it in a dashboard > > **Nachteile**: once the table is created it is difficult to edit the columns, so you have to delete it when you use the data stream, your data is in a cache, and you can't manipulate it until a couple of hours have passed > > for 3 months our mobile applications stopped saving certain data, thanks to its integration with firebase, we were able to recover that data by querying its partitioned tables, and we were able to restore that data with its integration with python We have also built a dashboard where we make a conciliation of our clients' data, in case something goes wrong, we immediately realize what is happening ----- ### "Superb, Scalable Technology" — 5.0/5 > **John** | *8. Juni 2023* | Musik | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: BigQuery is powerful, easy to set up and use, and wonderfully transparent about costs. I also prefer its mechanisms for dataset partitioning over, e.g., Snowflake's. > > **Nachteile**: The BigQuery UI is not great. Saved queries are messy, and scheduled queries are very difficult to maintain (to the point that they probably should not be used at all). > > I really love BigQuery especially insofar as it fits within a GCP environment. It is incredibly powerful and, given some governance, not very expensive at all. I find it cheaper and slightly easier to manage than Snowflake, though both products are incredible to use. ----- ### "BigQuery is Great for Lots of Data" — 5.0/5 > **Samuel** | *17. Mai 2023* | Telekommunikation | Empfehlungsbewertung: 7.0/10 > > **Vorteile**: BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools > > **Nachteile**: It can get messy when you're working with many different data sets at once, and changing existing data columns is hard. > > Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite relational database, Postgres, for everyday tasks. ----- ### ""Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"" — 5.0/5 > **Rishikumar** | *19. Jänner 2023* | Computer-Software | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: Google Cloud BigQuery is a powerful and user-friendly software for data warehousing and analytics. It can easily handle extremely large datasets, making it perfect for businesses that process and analyze massive amounts of data. The queries are executed quickly, even on large datasets, allowing for efficient data analysis and insights. The user interface is intuitive and easy to navigate, making it accessible for users of all skill levels. It integrates seamlessly with other Google Cloud products, such as Google Analytics and Google Cloud Storage, which allows for a streamlined workflow. The pricing is pay-per-use and the cost is generally lower for larger amounts of data, which makes it cost-effective. Additionally, it offers high performance, flexibility, and strong security features. > > **Nachteile**: Google Cloud BigQuery is a great tool for data warehousing and analytics. One thing to keep in mind is that it can have a steep learning curve for those who are not familiar with SQL and data warehousing concepts. Additionally, it may not be as customizable as some other data warehousing and analytics tools. But overall, it offers a wide range of functionalities and a user-friendly interface, making it a great option for many use cases. I've found it to be a reliable and efficient tool for processing and analyzing large datasets. > > My experience using Google Cloud BigQuery has been very good. It is a strong software for data warehousing and analytics, capable of handling large datasets efficiently. Navigation and execution of queries are fast and user-friendly. The pay-per-use pricing model is cost-effective and it offers robust features such as high performance, flexibility, and security. It is an ideal choice for companies that want to extract valuable insights from big data. ----- ### "Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution" — 4.0/5 > **Muhammad** | *16. August 2022* | Finanzdienstleistungen | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: Google Cloud BigQuery is cloud-based data warehouse allows super fast querying data. It simplifies data integration process that is cost effective as well. > > **Nachteile**: Queries also result in lot of redundant data. It cannot be used to substitute a relational database. In some cases it does not accept special characters. Managing an enterprise data, in case of other than flat tables may not be easy. > > BigQuery is powerful and reliable tool to manage huge data consists of trillion of rows. It is well embedded with GCP which ensure economical solution. It provides rich infrastructure and instant real-time analysis. ----- Seite: 1 / 3\ Zurück: [Nächste Seite](https://www.getapp.at/software/2057619/google-cloud-bigquery?page=2) ## Links - [Auf GetApp anzeigen](https://www.getapp.at/software/2057619/google-cloud-bigquery) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | URL | | de | | | de-AT | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | | fr | | | fr-BE | | | fr-CA | | | pt | | | pt-PT | | ----- ## Strukturierte Daten