--- description: Google Cloud BigQuery : qu'en pensent les utilisateurs ? Lisez les avis sur Google Cloud BigQuery, consultez ses différents prix, tarifs et abonnements ainsi que ses fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Google Cloud BigQuery - Prix, tarif, abonnement et avis | GetApp France 2026 --- Breadcrumb: [Accueil](/) > [Outils de BI](/directory/318/business-intelligence/software) > [Google Cloud BigQuery](/software/2057619/google-cloud-bigquery) # Google Cloud BigQuery Canonical: https://www.getapp.fr/software/2057619/google-cloud-bigquery Page : 1/3\ Suivant: [Page suivante](https://www.getapp.fr/software/2057619/google-cloud-bigquery?page=2) > BigQuery est un data warehouse sans serveur et multicloud conçu pour aider les utilisateurs à transformer le Big Data en renseignements commerciaux précieux. Les utilisateurs peuvent interroger les données structurées sans avoir à les stocker ou à les charger dans leurs propres systèmes. BigQuery propose des fonctionnalités avancées telles que le stockage de données en colonnes imbriquées, répétées et compressées. > > Conclusion : 35 utilisateurs lui ont donné la note de **4.6/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.6/5** | 35 Avis | | Simplicité d’utilisation | 4.4/5 | D'après l'ensemble des avis | | Support client | 3.9/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.2/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.7/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: Google ## Contexte commercial - **Prix à partir de**: 2 000,00 $US - **Type de licence**: (Version gratuite disponible) (pendant l'essai gratuit) - **Public cible**: Auto-entrepreneur, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Déploiement et plateformes**: Cloud, SaaS, web - **Langues**: allemand, anglais, chinois, coréen, espagnol, français, italien, japonais, portugais - **Pays disponibles**: Afghanistan, Afrique du Sud, Albanie, Algérie, Allemagne, Andorre, Angola, Anguilla, Antigua-et-Barbuda, Arabie saoudite, Argentine, Arménie, Aruba, Australie, Autriche, Azerbaïdjan, Bahamas, Bahreïn, Bangladesh, Barbade et 208 de plus ## Fonctionnalités - Agrégation et publication de données - Aide à la décision - Analyse ad hoc - Analyse des sentiments - Analyse des tendances - Analyse en libre-service - Analyse prédictive - Automatisation des processus et flux de travail - Autorisations basées sur les rôles - Bibliothèque d'algorithmes de ML - Classification des données - Connecteurs de données - Contrôles/Permissions d'accès - Création de tableaux de bord - Data Clustering - Data Mining - Data discovery - Deep learning - ETL - Extract Transfer Load - Entreposage de données ## Intégrations (8 au total) - Google Ads - Google Analytics 360 - Google Campaign Manager 360 - Google Cloud Bigtable - Google Cloud Compute Engine - Google Data Studio - Looker - Vertex AI ## Ressources d'aide - Service client/e-mail - FAQ/forums - Base de connaissances - Support téléphonique - Chat ## Category - [Outils de BI](https://www.getapp.fr/directory/318/business-intelligence/software) ## Catégories connexes - [Outils de BI](https://www.getapp.fr/directory/318/business-intelligence/software) - [Logiciels d'analyse prédictive](https://www.getapp.fr/directory/628/predictive-analytics/software) - [Outils Big Data](https://www.getapp.fr/directory/603/big-data/software) - [Logiciels d'analyse de données](https://www.getapp.fr/directory/1129/data-analysis/software) - [Logiciels d'extraction de données](https://www.getapp.fr/directory/1157/data-extraction/software) ## Logiciels similaires 1. 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[Google Cloud](https://www.getapp.fr/software/122483/google-cloud-platform) — 4.7/5 (2262 reviews) ## Avis ### "BigQuery for a Data Engineer" — 5.0/5 > **Luis** | *27 septembre 2022* | Gestion de l'enseignement | Taux de recommandation : 10.0/10 > > **Avantages**: 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 > > **Inconvénients**: 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 juin 2023* | Musique | Taux de recommandation : 9.0/10 > > **Avantages**: 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. > > **Inconvénients**: 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* | Télécommunications | Taux de recommandation : 7.0/10 > > **Avantages**: BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools > > **Inconvénients**: 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 janvier 2023* | Logiciels | Taux de recommandation : 10.0/10 > > **Avantages**: 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. > > **Inconvénients**: 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 août 2022* | Services financiers | Taux de recommandation : 9.0/10 > > **Avantages**: Google Cloud BigQuery is cloud-based data warehouse allows super fast querying data. It simplifies data integration process that is cost effective as well. > > **Inconvénients**: 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. ----- Page : 1/3\ Suivant: [Page suivante](https://www.getapp.fr/software/2057619/google-cloud-bigquery?page=2) ## Liens - [Afficher sur GetApp](https://www.getapp.fr/software/2057619/google-cloud-bigquery) ## Cette page est disponible dans les langues suivantes. | Langue | 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 | | ----- ## Données structurées