---
description: Avaliações detalhadas do BigQuery com base nos recursos, preços, facilidade de utilização e classificações. Veja rapidamente as vantagens e desvantagens as no GetApp Portugal. Compare o BigQuery com produtos similares.
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title: BigQuery - Avaliações, preços e classificações | GetApp Portugal 2026
---

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# BigQuery

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> O BigQuery é um armazém de dados sem servidor em várias nuvens, desenvolvido para ajudar a transformar big data em percepções valiosas de negócios. Os usuários podem consultar dados estruturados sem a necessidade de armazená-los ou carregá-los em seus próprios sistemas primeiro. O BigQuery fornece recursos como armazenamento de dados colunares aninhados, repetidos e compactados.
> 
> Verdict: Rated **4.6/5** by 37 users. Top-rated for **Probabilidade de recomendação**.

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## Quick Stats & Ratings

| Metric | Classificação | Detail |
| **Geral** | **4.6/5** | 37 Avaliações |
| Praticidade | 4.4/5 | Based on overall reviews |
| Suporte ao cliente | 3.9/5 | Based on overall reviews |
| Relação qualidade/preço | 4.2/5 | Based on overall reviews |
| Recursos | 4.6/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Probabilidade de recomendação) |

## Sobre o fornecedor

- **Empresa**: Google

## Commercial Context

- **Preço inicial**: 0,01 US$
- **Modelo de preços**:  (Free version available) (Teste Grátis)
- **Target Audience**: Profissional autônomo, 2 - 10, 11 - 50, 51 - 200, 201 - 500, 501 - 1 000, 1 001 - 5 000, 5 001 - 10 000, 10 000+
- **Deployment & Platforms**: Nuvem, SaaS, baseado na web
- **Idiomas**: alemão, chinês, coreano, espanhol, francês, indonésio, inglês, italiano, japonês, português, português do Brasil
- **Available Countries**: Afeganistão, Alanda, Albânia, Alemanha, Andorra, Angola, Anguila, Antígua e Barbuda, Argentina, Argélia, Arménia, Aruba, Arábia Saudita, Austrália, Azerbaijão, Baamas, Bangladeche, Barbados, Barém, Belize and 208 more

## Recursos

- Agregação e publicação de dados
- Análise de dados preditiva
- Análise de sentimentos
- Análise de tendências
- Análises pontuais
- Aprendizado profundo
- Armazéns de dados
- Autoatendimento analítico
- Biblioteca de algoritmos ML
- Classificação de dados
- Conectores de dados
- Consulta pontual
- Controles/permissões de acesso
- Criação de diagramas
- Criação de painel
- Data Clustering
- Data Mining
- Descoberta de dados
- ETL - Extract Transfer Load
- Extração automática

## Integrations (39 total)

- Airbyte
- Built
- Built
- Context
- Continuous
- Conversa
- DTS
- Data
- Dataflo
- Engine
- Frame
- Frame
- Gemini Enterprise
- Generative AI
- Google Ads

... and 24 more integrations

## Opções de suporte

- Email/Help Desk
- FAQs/Fórum
- Base de conhecimento
- Suporte por telefone
- Bate-papo

## Category

- [Ferramentas de Análise de Marketing](https://www.getapp.pt/directory/602/marketing-analytics/software)

## Categorias relacionadas

- [Ferramentas de Análise de Marketing](https://www.getapp.pt/directory/602/marketing-analytics/software)
- [Ferramentas ETL](https://www.getapp.pt/directory/1303/etl/software)
- [Software de Banco de Dados](https://www.getapp.pt/directory/459/database/software)
- [Sistemas de Gestão de Dados](https://www.getapp.pt/directory/633/data-management/software)
- [Ferramentas de BI](https://www.getapp.pt/directory/318/business-intelligence/software)

## Alternativas

1. [Microsoft Power BI](https://www.getapp.pt/software/102847/power-bi) — 4.6/5 (1888 reviews)
2. [Tableau](https://www.getapp.pt/software/90797/tableau-software) — 4.6/5 (2358 reviews)
3. [Google Cloud](https://www.getapp.pt/software/122483/google-cloud-platform) — 4.7/5 (2322 reviews)
4. [Zoho Analytics](https://www.getapp.pt/software/10049/zoho-analytics) — 4.4/5 (361 reviews)
5. [Looker](https://www.getapp.pt/software/91545/looker) — 4.5/5 (285 reviews)

## Avaliações

### "My review for Google Cloud BigQuery" — 5.0/5

> **Pranav** | *22 de janeiro de 2025* | Automotivo | Recommendation rating: 10.0/10
> 
> **Vantagens**: The things I liked most about Google Cloud BigQuery are the robust data extraction and columnar data storing.
> 
> **Desvantagens**: The thing I dislike about Google Cloud BigQuery is the longer time taking to handle big data.
> 
> Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from the raw data.

-----

### "GBQ is an analysts best friend" — 5.0/5

> **Bryan** | *7 de setembro de 2024* | Publicidade e marketing | Recommendation rating: 10.0/10
> 
> **Vantagens**: Literally everything.  GBQ takes tasks like partitioning, building feeds from/to other systems simple, fine-grain access controls, plugs into Looker like a dream, built in connectors for other Google products (Search console, GA)
> 
> **Desvantagens**: The permission-ing for GBQ can sometimes be vague depending on what the user is needing/wanting to do.  Some roles require items that you think would be included in higher access level roles (I'm looking at you BigQuery Job User role).
> 
> GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows.

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### "BigQuery is Great for Lots of Data" — 5.0/5

> **Samuel** | *17 de maio de 2023* | Telecomunicações | Recommendation rating: 7.0/10
> 
> **Vantagens**: BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools
> 
> **Desvantagens**: 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.

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### "BigQuery for a Data Engineer" — 5.0/5

> **Luis** | *27 de setembro de 2022* | Gestão da educação | Recommendation rating: 10.0/10
> 
> **Vantagens**: 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
> 
> **Desvantagens**: once the table is created it is difficult to edit the columns, so you have to delete it&#10;&#10;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&#10;&#10;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

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### "Superb, Scalable Technology" — 5.0/5

> **John** | *8 de junho de 2023* | Música | Recommendation rating: 9.0/10
> 
> **Vantagens**: 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.
> 
> **Desvantagens**: 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.

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