Google Cloud BigQuery

4,8 (29)
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Un data warehouse sans serveur et multicloud

Note globale

4,8 /5
(29)
Rapport qualité-prix
4,5/5
Fonctionnalités
4,7/5
Simplicité d'utilisation
4,4/5
Support client
4/5

97%
des utilisateurs recommandent cette application
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29 avis

Vaibhav
Vaibhav
Note globale
  • Secteur d'activité : Logiciels
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé toutes les semaines pendant 6 à 12 mois
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 9.0 /10

Review of BigQuery Query Execution and Use Cases.

Publié le 24/12/2024

Free Tier access, query execution on the free tier, connection of Big Query from other market tools...

Free Tier access, query execution on the free tier, connection of Big Query from other market tools and best of the best we can directly connect with Google Sheet. It is very to use and implement into software using data stream to connect with databases as well.

Avantages

It is very help full to store large unstructured data and further etl the data and used for analytics.

Inconvénients

For Beginners it is costly. Overall very fast and reliable.

Utilisateur vérifié
Note globale
  • Secteur d'activité : Logistique et chaîne d'approvisionnement
  • Taille de l'entreprise : 201–500 employés
  • Logiciel utilisé toutes les semaines pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Probabilité de recommander le produit 7.0 /10

Great serverless cloud data warehouse

Publié le 20/06/2022

We used BigQuery to analyze firebase events data from our mobile apps. Considering the sheer volume...

We used BigQuery to analyze firebase events data from our mobile apps. Considering the sheer volume of this dataset, querying has been mostly very fast and reliable, albeit at a high cost.

Avantages

I like the serverless nature of BigQuery. It takes away most of the maintenance costs involved in maintaining and fine-tuning a data warehouse.

Inconvénients

I didn't really like the on-demand pricing of BigQuery. Monthly costs tend to blow up excessively. I think they have a different pricing option now to resolve this though.

Alternatives envisagées 

Snowflake

Pourquoi passer à Google Cloud BigQuery

BigQuery has a native integration with Firebase.
Chhaya
Chhaya
Note globale
  • Secteur d'activité : Produits alimentaires
  • Taille de l'entreprise : 201–500 employés
  • Logiciel utilisé toutes les semaines pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 8.0 /10

Get started with BigQuery, A powerful tool for analysing Big data

Publié le 18/09/2022

Avantages

Our salesforce campaigns relies heavily on data warehouse, which is the backbone of everything we do. This data set contains both row data sets and BigQuery is used to aggregate this sets by running schedule queries on it.

Inconvénients

This platform requires strong SQL skills. Huge dependency on tech team to fix queries sometime.

Pratik
Note globale
  • Secteur d'activité : Logiciels
  • Taille de l'entreprise : 2–10 employés
  • Logiciel utilisé tous les jours pendant 6 à 12 mois
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

Worth a try for datawarehousing loads

Publié le 23/12/2024

Avantages

Free 1TB compute
User friendly web UI
Amazing web SQL editor

Inconvénients

I can't find anything wrong with biguery

Bryan
Note globale
  • Secteur d'activité : Marketing et publicité
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

GBQ is an analysts best friend

Publié le 07/09/2024

GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own...

GBQ powers a lot of our analysis tooling and reps use it directly with Python to make their own custom flows.

Avantages

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)

Inconvénients

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).

Andres Ernesto
Andres Ernesto
Note globale
  • Secteur d'activité : Logiciels
  • Taille de l'entreprise : 10 000+ employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

Good tool

Publié le 11/11/2023

I use this tool daily and it meets my expectations, easy to create jobs in the form of scheduled...

I use this tool daily and it meets my expectations, easy to create jobs in the form of scheduled queries, easy import of data from Google Sheets, integration with Google GAS and many other advantages that I have discovered

Avantages

importing information from Google Sheets seems like a super advantage to me, as does the ability to execute large queries without affecting performance.

Inconvénients

I have no complaints about the tool so far

Erika
Note globale
  • Secteur d'activité : Services et technologies de l'information
  • Taille de l'entreprise : 51–200 employés
  • Logiciel utilisé tous les jours pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 7.0 /10

GBQ is a good Choice

Publié le 03/01/2025

Avantages

Super fast! Can handle tons of data in seconds. No worries about it slowing down. Works well with other Google stuff

Inconvénients

Pricing is a bit confusing. Not easy to know how much it will cost. Interface could be better

Pranav
Note globale
  • Secteur d'activité : Automobile
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé toutes les semaines pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

My review for Google Cloud BigQuery

Publié le 22/01/2025

Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from...

Overall Google Cloud BigQuery is very good for data analysis and getting actionable insights from the raw data.

Avantages

The things I liked most about Google Cloud BigQuery are the robust data extraction and columnar data storing.

Inconvénients

The thing I dislike about Google Cloud BigQuery is the longer time taking to handle big data.

John
Note globale
  • Secteur d'activité : Musique
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 9.0 /10

Superb, Scalable Technology

Publié le 08/06/2023

I really love BigQuery especially insofar as it fits within a GCP environment. It is incredibly...

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.

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).

Alternatives envisagées 

Snowflake

Pourquoi passer à Google Cloud BigQuery

It made more sense within a GCP environment.
Utilisateur vérifié
Note globale
  • Secteur d'activité : Vente au détail
  • Taille de l'entreprise : 51–200 employés
  • Logiciel utilisé toutes les semaines pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 7.0 /10

Does the job but it's bare bones

Publié le 10/10/2023

Avantages

It's cheap and very quick to process and query data directly.

Inconvénients

It's bare-bones database, so doesn't come with analytical features or any visualisation or easy to use interface when compared to other solutions.

Alternatives envisagées 

Snowflake
Dainah
Note globale
  • Secteur d'activité : Formation professionnelle et coaching
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Simplicité d'utilisation
  • Probabilité de recommander le produit 10.0 /10

Great serverless tool

Publié le 30/11/2023

Avantages

I use this tool in my first professionnal experience as Data Engineer and I still use it today. I used BigQuery for Datawarehouse : make data available for everyone (data analyst, developer...).
Today, I use it too for the logs of an ELT pipeline, it's still very simple to use this tool.

Inconvénients

It's necessary to understand how costing works in detail, especially if you have a lot of data.

Ankit
Note globale
  • Secteur d'activité : E-learning
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

Good product that can be made better

Publié le 15/06/2023

Avantages

Ease of browsing through the data and seeing table structure

Inconvénients

Not able to visualise data in BQ so had to export data or integrate visualisation tools

Alternatives envisagées 

Microsoft SQL Server et Tableau

Pourquoi passer à Google Cloud BigQuery

Ease of use and great old UI
Christie
Note globale
  • Secteur d'activité : Institutions religieuses
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé toutes les semaines pendant 1 à 5 mois
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 8.0 /10

A fine Power BI alternative for Workspace organizations

Publié le 01/05/2024

Avantages

It is pretty straightforward to set up and allows for lots of data inputs. It's data visualization and statistics are amazing and provide useful insight.

Inconvénients

It is a little more limited then it's competitors at some tasks.

Naushad
Note globale
  • Secteur d'activité : Énergies renouvelables et environnement
  • Taille de l'entreprise : 1 001–5 000 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 9.0 /10

Google Bigquery

Publié le 19/04/2023

Avantages

Can store large amount of data, cost effective and fast

Inconvénients

At times takes time to process queries with large amount to data

Samuel
Note globale
  • Secteur d'activité : Télécommunications
  • Taille de l'entreprise : 2–10 employés
  • Logiciel utilisé toutes les semaines pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Probabilité de recommander le produit 7.0 /10

BigQuery is Great for Lots of Data

Publié le 17/05/2023

Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite...

Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite relational database, Postgres, for everyday tasks.

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.

Sharif
Note globale
  • Secteur d'activité : Logistique et chaîne d'approvisionnement
  • Taille de l'entreprise : 10 000+ employés
  • Logiciel utilisé tous les jours pendant 1 à 5 mois
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 9.0 /10

Enough storage provided

Publié le 27/08/2023

Avantages

I like the software because it is easy to use and have a good documentation to get started

Inconvénients

It is expensive to use for smaller businesses

Utilisateur vérifié
Note globale
  • Secteur d'activité : Marketing et publicité
  • Taille de l'entreprise : 51–200 employés
  • Logiciel utilisé tous les mois pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Simplicité d'utilisation
  • Probabilité de recommander le produit 9.0 /10

Data warehouse for Analysis

Publié le 08/06/2023

Avantages

We use Big Query for store the information of every client's CRM, its cheap and scalable

Inconvénients

You will need a programmer to get the integration done properly, but is not too hard

Rishikumar
Note globale
  • Secteur d'activité : Logiciels
  • Taille de l'entreprise : Auto-entrepreneur
  • Logiciel utilisé tous les jours pendant 6 à 12 mois
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

"Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"

Publié le 19/01/2023

My experience using Google Cloud BigQuery has been very good. It is a strong software for data...

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.

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.

Luis
Note globale
  • Secteur d'activité : Gestion de l'enseignement
  • Taille de l'entreprise : 201–500 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

BigQuery for a Data Engineer

Publié le 27/09/2022

for 3 months our mobile applications stopped saving certain data, thanks to its integration with...

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

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

Muhammad
Note globale
  • Secteur d'activité : Services financiers
  • Taille de l'entreprise : 501–1 000 employés
  • Logiciel utilisé toutes les semaines pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 9.0 /10

Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution

Publié le 16/08/2022

BigQuery is powerful and reliable tool to manage huge data consists of trillion of rows. It is...

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.

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.

Utilisateur vérifié
Note globale
  • Secteur d'activité : E-learning
  • Taille de l'entreprise : 201–500 employés
  • Logiciel utilisé tous les jours pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

Do you like Google Stack? It's good to go with BigQuery

Publié le 07/06/2022

An excellent option for keep a consistent tech stack, some limits (no problems) but fast and easy...

An excellent option for keep a consistent tech stack, some limits (no problems) but fast and easy after you built you database and connections.

Avantages

If you work with Google Stack in your company, using BigQuery makes sense. It's cloud, it's fast and it's easy to keep and update.

Inconvénients

It's not so easy as some other tools. But in the other hand, it's part of Google Stack and you have easy information to get in the net.

Dan
Note globale
  • Secteur d'activité : Services d'information
  • Taille de l'entreprise : 11–50 employés
  • Logiciel utilisé tous les jours pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 10.0 /10

BigQuery data warehousing - Excellent performance at MINIMAL cost

Publié le 25/11/2022

Made it possible to "get our feet wet" with data warehousing / dashboards / reporting, without the...

Made it possible to "get our feet wet" with data warehousing / dashboards / reporting, without the $$$ commitment of other tools.

Avantages

Seamless integration with our data in G-sheets, Airtable, and other sources. Data visualizations / BI dashboards (using DS) at rock-bottom cost.

Inconvénients

The number and type of data visualizations could be improved. Help system is not extensive (but with Stack Overflow, you'll be fine). The "stickiness" (persistence) and flexibility/customizability of filters needs work.

Hemal
Note globale
  • Secteur d'activité : Semi-conducteurs
  • Taille de l'entreprise : 10 000+ employés
  • Logiciel utilisé tous les jours pendant plus d'un an
  • Provenance de l'avis

Note globale

  • Simplicité d'utilisation
  • Probabilité de recommander le produit 10.0 /10

Has been a revelation for me

Publié le 14/08/2022

It takes a good while to learn BigQuery but it is well worth it.

It takes a good while to learn BigQuery but it is well worth it.

Avantages

The sandbox supports up to 4 ( I think) projects that you can work on for free. This is great for people who are just starting out and BigQuery is very affordable as a whole. The pre-installed datasets are convenient and also cover various topics.

Inconvénients

The interface could be optimized. Currently loading up multiple datasets on the same project and / or opening multiple tabs for queries makes everything really confusing and hard to navigate .

Parth
Note globale
  • Secteur d'activité : Services et technologies de l'information
  • Taille de l'entreprise : 1 001–5 000 employés
  • Logiciel utilisé tous les jours pendant plus de deux ans
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Probabilité de recommander le produit 9.0 /10

Covers most of what you need in a data analysis tool

Publié le 19/08/2022

Avantages

There is a plethora of already available datasets on BigQuery. Most of them won't be related to topics that interest you but are still very useful. The UI is simple,there aren't any unnecessary features that can confuse you when it comes to using BigQuery. The program is 100% scale-able and can cover data in any size.

Inconvénients

For some people it might be an issue that BigQuery is better suited to work alongside R and not Python.If you do not opt for a flat rate and end up having a large quantity of data to deal with, BigQuery can get pricey.

Utilisateur vérifié
Note globale
  • Secteur d'activité : Marketing et publicité
  • Taille de l'entreprise : 51–200 employés
  • Logiciel utilisé toutes les semaines pendant 6 à 12 mois
  • Provenance de l'avis

Note globale

  • Rapport qualité-prix
  • Simplicité d'utilisation
  • Support client
  • Probabilité de recommander le produit 9.0 /10

Easy to integrte data from various data sources and visiualize in mulptiple dashboards

Publié le 03/10/2022

Easy to integrate with other tools and then aggregated data provide very detailed reports to...

Easy to integrate with other tools and then aggregated data provide very detailed reports to analyze and also to share with clients for business decisions

Avantages

Allow to import data in seconds from third party data sources, even there is an option to create multiple dashboards to visualize & analyses the data for marketing, sales purposes and so on depends on use cases.

Inconvénients

Cost is very high with big data queries and also UI can be more improved specifically navigation and dragging options