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Google Cloud BigQuery Reviews & Product Details

Google Cloud BigQuery Overview

What is Google Cloud BigQuery?

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Google Cloud BigQuery Details
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Product Description

Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.

How do you position yourself against your competitors?

BigQuery is a unified, AI-ready data platform designed to be multi-engine, multi-format and multimodal. It unifies data, streamlines data management, and provides scalability, enhanced security, and governance capabilities. With built-in machine learning and direct access to Google Cloud’s Vertex AI models, you can easily go from data to AI in a single platform. With a guaranteed 99.99% (SLA), BigQuery offers a 54% lower total cost of ownership TCO compared to alternative cloud-based enterprise data warehouses.


Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
Phone
+1 (650) 253-0000
Total Revenue (USD mm)
$182,527
Description

Organize the world’s information and make it universally accessible and useful.


Alena A.
AA
Overview Provided by:

Recent Google Cloud BigQuery Reviews

Verified User
U
Verified UserSmall-Business (50 or fewer emp.)
5.0 out of 5
"Platform of choice for working with data"
Seamless scaling and reasonable costs. Pricing is kind of reasonable.
Trupti N.
TN
Trupti N.Enterprise (> 1000 emp.)
4.5 out of 5
"The Google BigQuery"
The efficiency of handling a large set of data to query and retrieve results within few seconds/minutes of time depending on the size of dataset.
Varun S.
VS
Varun S.Small-Business (50 or fewer emp.)
4.5 out of 5
"Efficient, Fast, and Secure"
Rating: 4.5/5 it is fast and good for data storing.
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4 people requested security information

Google Cloud BigQuery Media

Google Cloud BigQuery Demo - Easy-to-use interface with built-in BI
With public datasets, it's easy to get started on BigQuery.
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1,090 Google Cloud BigQuery Reviews

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1,090 Google Cloud BigQuery Reviews
4.5 out of 5
1,090 Google Cloud BigQuery Reviews
4.5 out of 5

Google Cloud BigQuery Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for Google Cloud BigQueryQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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AA
BI Developer.
Information Technology and Services
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about Google Cloud?

Google Cloud offers a wide range of solutions for technology development and deployment, including Computing, Networking, data Storage and management, AI and machine learning, all in one integrated platform. GCP has user-friendly learning tutorials and reliable community support, which makes it easy to solve whatever challenges might come up. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud?

The user interface can appear complex to newcomers, as it lacks customization options for the left navigation menu. The inability to remove services not used by users can make the interface unnecessarily crowded. Review collected by and hosted on G2.com.

What problems is Google Cloud solving and how is that benefiting you?

Google Cloud helps enhance our business intelligence solutions development capabilities. We use BigQuery's data warehousing service to explore, process, and analyze large datasets, uncovering patterns and insights. Google Dataflow allows us to handle growing data volumes for data preparation and pipeline automation. My team collaborates on Vertex AI to develop and integrate predictive models for forecasting and generative AI capabilities within our solutions. Overall, the Google Cloud Platform helps my team develop and deploy data-intensive solutions by providing robust technology infrastructure to manage and analyze large datasets quickly, allowing us to focus more on core tasks. Review collected by and hosted on G2.com.

Daniel G.
DG
Head of Data, Analytics &amp; Martech
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud BigQuery?

BigQuery has been a reliable tool for marketing data integration. It's serverless, so it's easy to scale and let's us focus on other things rather than maintenance overall.

It's fast, so big querys that requires a lot of data takes just a few seconds to get the data. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

While BigQuery is an awesome tool, there are a few things that can be a bit frustrating.

Costs can add up quickly if you’re not careful. You need to focus on optimization and spend time setting up tables propperly.

Another thing is that the learning curve requires time if you’re not familiar with SQL, getting started can feel overwhelming (a lot of traditional SQL techniques does not work on BigQuery, and some capabilities in BigQuery are not industry standards) Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

BigQuery is solving some problems we face in digital marketing like data integration and specially data analysis.

One of the biggest problems it solves is handling big files or rows of data from various sources like Google Analytics, Google Ads, CRM platforms, etc. We usually dealt with google sheets files for some marketing dashboards in the past, even traditional SQL tables, and the performance wasn't great and the dashboards wheren't stable.

BigQuery fixed that.

Another key benefit is centralized data storage and analysis. Before BigQuery, data was scattered across multiple platforms (even excel files), making it hard to get a complete picture. Review collected by and hosted on G2.com.

P K.
PK
Business Analyst
Information Technology and Services
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about Google Cloud BigQuery?

- Ease to use

- Ease of Implementation

- Number of Features

- Support

- Price

- Efficiency

- Lots of functions available

- Easy project and Dataset handling Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

The way Google Cloud Big Query has evolved from it's inception is really comendable. So there are very less dislikes at the moment.

SQL Support could be further enhanced and integrations with different platforms via APIs can be added Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

It is by far the easiest Data Warehouse available in the market. the Big Data Analytics in Big Query is pretty easy and someone who is a beginer can easily pick this up. For me it is helping to store the Ecommerce Data into the Data Warehouse and then perform various analysis on that data and present it to business for further actions. Using this on a daily basis for a few years now, I can say this is by far the best cloud based data warehouse among others like Redhsift, Azure .

- Data Storage

- Analytics

- Data Visualisation

- Descriptive Analytics Review collected by and hosted on G2.com.

Mohammad Rasool S.
MS
Data Analyst
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud BigQuery?

Quick onboarding for begginer with clear UI and comprehensive documentation and supports ad-hoc quering and scheduled batch jobs and native interactions with google ecosystem products make workflows seamless as ease of implementation having robust customer support. For Data analysis helpful for daily use. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

Misunderstanding of how queries are billed can lead to unexpected costs and requires careful optimization and awareness of best practices and while basic quering is simple, features like partitioning, clustering, and BigQuery ML reequire some learning and users heavily reliant on UI might find some limitations compared to standalone SQL clientsof third-party tools. Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

To solve a sales performance in real time as for data ingestion in stream transaction data from POS systems to BigQuery using Pub/Sub and for data transformation we use dataflow to clean and normalize incoming data and mainly for analysis to run SQL queries in BigQuery to calculate metrics like revenue, top selling products, and sales trendas and finally to create a dashboard in Google Data Studio to show real time KPIs. Review collected by and hosted on G2.com.

Yassiem D.
YD
IT consultant
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud BigQuery?

It's a powerful data science tool with serverless architecture and excellent scalability

It efficiently processes large datasets using SQL

It works well with other Google Cloud services and visualization tools

It offers flexible pay-as-you-go pricing

Despite some limitations (like query costs and table renaming restrictions), it's considered highly valuable for data scientists' careers Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

Cannot rename tables.Must replace entire datasets if table names need changing

Querying can be expensive. Testing queries on live data can incur significant costs

No 'undo' function for queries. Datasets can expire and be lost if not monitored

Need to be cautious with live data. Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

Early predicting LPG cylinder failure during revalidation using machine learning and visualising the findings in a dashboard.

This allows closer inspection and scrapping eary saving time and costs of revalidation of a cylinder likely to fail. Review collected by and hosted on G2.com.

Trupti N.
TN
Member
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
What do you like best about Google Cloud BigQuery?

The efficiency of handling a large set of data to query and retrieve results within few seconds/minutes of time depending on the size of dataset. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

Sometimes the constraints of not clearly stating the errors while uploading dataset. Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

Google Cloud BigQuery is solving the problem of storing large datasets on it very easily and often provides the ease to analyse the users to do their query, retrieve results and gain insights for what they were looking for within few time very efficiently. It is benefitting me a lot, as being a user for almost long time I have used and met my needs in google cloud bigQuery very easily without any hurdles. I have stored and queried many queries on large datasets for meeting my needs for analysis. Review collected by and hosted on G2.com.

Ramraja Y.
RY
Data Analyst
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud BigQuery?

I am learning BigQuery during my internship at Brainwave Matrix Solutions, and it is easy to use. It works fast. I can run SQL queries quickly and get results, even as a beginner. It also works well with other Google Cloud tools. BigQuery handles big data easily. It’s really helping me as I learn. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

It can be hard to understand all the features for someone who is new. The UI of the system can be made simpler to understand and can be remembered easily for someone new like me. Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

BigQuery helps me handle large datasets easily. Running SQL queries is fast and simple. I have learned intermediate-level SQL and basic Python analysis with it. I am now working on a Blinkit sales data analysis project. BigQuery makes it easy to find trends and insights from large data. It is also helping me improve my skills. Review collected by and hosted on G2.com.

Mukand K.
MK
Co-Founder
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: Organic
Business partner of the seller or seller's competitor, not included in G2 scores.
What do you like best about Google Cloud?

The best thing was to use google cloud run and to test it for real time task - that is using faas approach - testing the deep learning seq2seq model for classification task of the video frame in real time. Gcloud run offer multiple parameters like public and private URL to test the app internally ( in the gcloud Ip addresses) or externally ( making the app available for the public), scalability, CPU boost to boost the request from the clients and scalability using minimum and maximum number of instances. And I got results in real time for 20 clients efficiently, accurately and quickly.

Also google offered my project with the grant of 25K$ so I can use the services for free and experiment them. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud?

Although I'm able to get real time results which I expected - but there I faced cold start problem - even though I set the minimum instances set to 1; but after remaining idle for above 1 to 2 hours - when there is the request of the user to the server - the model started to load and thus - the gcloud run app/link couldn't give results faster and even sometimes give no results.

Secondly, I faced Domain Sharing issue here, even though I have admin acces of my account but I solved after doing experimenting multiple things - there was no proper documentation on how to give access to the user inside the account other users. Review collected by and hosted on G2.com.

What problems is Google Cloud solving and how is that benefiting you?

I works for my company HEC computer vision project granted to me on my university ID- that is to experiment the deep learning Model for event detection system on cloud using FAAS approach to compute the results in the real time without maintaining state on the server, making my 1 of the aspect: Stateless Seq2Seq DL model. It is serving me public and private Ip's both to tes the application in real time that is classification of the video frames and checking whether it is fulfulling my 3 metrics which are robustness, scalable and accurate. Review collected by and hosted on G2.com.

John Clinton F.
JF
Technical Support Engineer-South and West
Information Technology and Services
Small-Business(50 or fewer emp.)
More Options
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud?

It's very easy to use and it's familier to all also auto save option and file edit history will help for backup no need separate backup, Most comenly using by all, its ease to implement and have very good support from google, also it is very easy to integrate to all.also google cloud platform have AI feachers are very useful, Review collected by and hosted on G2.com.

What do you dislike about Google Cloud?

Compare to other cloud platform its costly, Most of the customers have trust issues with google cloud, Review collected by and hosted on G2.com.

What problems is Google Cloud solving and how is that benefiting you?

Google Cloud's solutions allow organizations to optimize operations, reduce costs, improve security, and innovate with AI and data analytics. The cloud's wide range of tools simplifies the development, deployment, and maintenance of applications, enabling faster time-to-market.With tools like Google Workspace, users benefit from seamless collaboration and productivity, helping them stay connected and efficient. Review collected by and hosted on G2.com.

Vijudev V.
VV
Lead Engineer - DevOps
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud?

I liked the Services like Cloud Run, Cloud Run functions, BigQuery, VPN Gateways , VPC Access connector, App Engine. Also the Cloud DNS service is an amazing thing to ensure more security with the resources and Concept of Project is another intresting factors when comparing to AWS or Azure Review collected by and hosted on G2.com.

What do you dislike about Google Cloud?

I Faced some challenges mostly with App engine and IAM , i didn't feel easiness in these areas. Also the authenication part is bit complex and not quite easy Review collected by and hosted on G2.com.

What problems is Google Cloud solving and how is that benefiting you?

We are using this cloud to deploy the infrastrutures required for our application , including stoarge, bigquery , serverless functions and also used networking resources for security and connect with our on-premise infrastructure.

The services like VPN gateway, Cloud Run , Cloud Scheduler ect helps me a lot to save a lot cost Review collected by and hosted on G2.com.

Google Cloud BigQ...