--- description: Busca información actualizada sobre Google Cloud BigQuery en GetApp Colombia. Lee opiniones verificadas y descubre sus funciones, características, precios y usabilidad. Compara Google Cloud BigQuery con productos similares hasta encontrar la opción adecuada. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Google Cloud BigQuery: precios, funciones y opiniones | GetApp Colombia 2026 --- Breadcrumb: [Inicio](/) > [Herramientas BI](/directory/318/business-intelligence/software) > [Google Cloud BigQuery](/software/2057619/google-cloud-bigquery) # Google Cloud BigQuery Canonical: https://www.getapp.com.co/software/2057619/google-cloud-bigquery Página: 1 de 3\ Siguiente: [Página siguiente](https://www.getapp.com.co/software/2057619/google-cloud-bigquery?page=2) > BigQuery es un almacén de datos sin servidor y multinube que ha sido diseñado para ayudar a los usuarios a convertir el Big Data en información empresarial valiosa. Los usuarios pueden consultar datos estructurados sin la necesidad de almacenarlos o cargarlos en sus propios sistemas de antemano. BigQuery proporciona diversas funciones avanzadas, como almacenamiento de datos columnares anidados, repetidos y comprimidos. > > Veredicto: 35 usuarios lo han valorado con **4.6/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.6/5** | 35 Opiniones | | Facilidad de uso | 4.4/5 | Basado en las opiniones generales | | Asistencia al cliente | 3.9/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.2/5 | Basado en las opiniones generales | | Funciones | 4.7/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: Google ## Contexto comercial - **Precio inicial**: US$ 2.000,00 - **Modelo de precios**: (versión gratuita disponible) (Prueba gratis) - **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Despliegue y plataformas**: Cloud, SaaS, Web - **Idiomas admitidos**: alemán, chino, coreano, español, francés, inglés, italiano, japonés, portugués - **Países disponibles**: Afganistán, Albania, Alemania, Andorra, Angola, Anguila, Antigua y Barbuda, Arabia Saudita, Argelia, Argentina, Armenia, Aruba, Australia, Austria, Azerbaiyán, Bahamas, Bangladés, Barbados, Baréin, Belice y 208 más ## Funciones - Almacenamiento de datos - Análisis ad hoc - Análisis de autoservicio - Análisis de sentimientos - Análisis de tendencias - Análisis predictivo - Aprendizaje profundo - Automatización proceso/flujo de trabajo - Autorizaciones basadas en roles - Biblioteca de algoritmos ML - Clasificación de datos - Conectores de datos - Consulta ad hoc - Controles o permisos de acceso - Creación de diagramas - Creación de informes ad hoc - Creación de paneles de comunicaciones - Data Clustering - Data Mining - Descubrimiento de datos ## Integraciones (en total: 8) - Google Ads - Google Analytics 360 - Google Campaign Manager 360 - Google Cloud Bigtable - Google Cloud Compute Engine - Google Data Studio - Looker - Vertex AI ## Opciones de asistencia - E-mail/Help Desk - Preguntas frecuentes/foro - Base de conocimientos - Asistencia telefónica - Chat ## Categoría - [Herramientas BI](https://www.getapp.com.co/directory/318/business-intelligence/software) ## Categorías relacionadas - [Herramientas BI](https://www.getapp.com.co/directory/318/business-intelligence/software) - [Software de análisis predictivo](https://www.getapp.com.co/directory/628/predictive-analytics/software) - [Software de Big Data](https://www.getapp.com.co/directory/603/big-data/software) - [Herramientas de análisis de datos](https://www.getapp.com.co/directory/1129/data-analysis/software) - [Herramientas de extracción de datos](https://www.getapp.com.co/directory/1157/data-extraction/software) ## Alternativas 1. [Minitab](https://www.getapp.com.co/software/125155/minitab-statistical-software) — 4.5/5 (388 reviews) 2. [Microsoft Power BI](https://www.getapp.com.co/software/102847/power-bi) — 4.6/5 (1871 reviews) 3. [Google Analytics 360](https://www.getapp.com.co/software/90997/google-analytics) — 4.7/5 (8089 reviews) 4. [Tableau](https://www.getapp.com.co/software/90797/tableau-software) — 4.6/5 (2348 reviews) 5. [Google Cloud](https://www.getapp.com.co/software/122483/google-cloud-platform) — 4.7/5 (2263 reviews) ## Opiniones ### "BigQuery for a Data Engineer" — 5.0/5 > **Luis** | *27 de septiembre de 2022* | Administración educativa | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: 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 > > **Puntos en contra**: 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 de junio de 2023* | Música | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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 de mayo de 2023* | Telecomunicaciones | Valoración de la recomendación: 7.0/10 > > **Puntos a favor**: BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools > > **Puntos en contra**: 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 de enero de 2023* | Software informático | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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 de agosto de 2022* | Servicios financieros | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: Google Cloud BigQuery is cloud-based data warehouse allows super fast querying data. It simplifies data integration process that is cost effective as well. > > **Puntos en contra**: 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. ----- Página: 1 de 3\ Siguiente: [Página siguiente](https://www.getapp.com.co/software/2057619/google-cloud-bigquery?page=2) ## Enlaces - [Ver en GetApp](https://www.getapp.com.co/software/2057619/google-cloud-bigquery) ## Esta página se encuentra disponible en los siguientes idiomas | Local | 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 | | ----- ## Datos estructurados