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BigQuery vs Snowflake Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
4.9
BigQuery offers improved performance, cost savings, and intuitive features, with some users reporting up to 75% cost reductions.
Sentiment score
5.3
Snowflake Analytics improves efficiency and cost management, though ROI varies; users often see notable time and cost savings.
 

Customer Service

Sentiment score
7.2
Customers find Google BigQuery support effective but sometimes limited, relying on documentation, forums, and expert assistance for issues.
Sentiment score
6.9
Snowflake Analytics support is praised for responsiveness and professionalism but criticized for occasional delays and access issues.
rating the customer support at ten points out of ten
Sr. Team Lead - IT at InfoStretch
I have been self-taught and I have been able to handle all my problems alone.
Chief Technical Lead at a consultancy with 201-500 employees
I would rate their customer service pretty good on a scale of one to 10, as they gave me access to the platform on a grant.
Principal at Sgt Suds
The Snowflake Analytics documentation is excellent.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
Associate Principal Engineer at Nagarro
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
Data Governance Architect at Sterlite Technologies Ltd
 

Scalability Issues

Sentiment score
7.8
BigQuery offers excellent scalability and efficiency, supporting vast data seamlessly, though cost and integration challenges may arise.
Sentiment score
7.7
Snowflake Analytics offers scalable cloud infrastructure, automatic resource management, and seamless data handling with strong performance for large data volumes.
It is a 10 out of 10 in terms of scalability.
Chief Technical Lead at a consultancy with 201-500 employees
We have not seen problems with scaling.
Director at a consultancy with 11-50 employees
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
Expert Analyst at a healthcare company with 5,001-10,000 employees
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
Senior Software Architect at USEReady
It supports both horizontal and vertical scaling effectively.
Data Governance Architect at Sterlite Technologies Ltd
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
Associate Principal Engineer at Nagarro
 

Stability Issues

Sentiment score
8.3
BigQuery is stable and reliable, with efficient data handling, few bugs, and strong support, despite occasional slow queries.
Sentiment score
8.4
Snowflake Analytics is highly rated for its stability and reliability, offering minimal issues and excellent cloud support performance.
In the past one and a half years that I have been running with BigQuery, I have not needed to raise any technical support with BigQuery or with Google.
Director at a consultancy with 11-50 employees
Snowflake Analytics has been stable and reliable in my experience.
Associate Principal Engineer at Nagarro
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
Data Governance Architect at Sterlite Technologies Ltd
The Power BI team raised tickets for both Power BI and Snowflake Analytics, and their responses were very good.
Lead Analytics Consultant at a outsourcing company with 51-200 employees
 

Room For Improvement

BigQuery struggles with cost, accessibility, scalability, and lacks data residency, needing better integration, performance, and machine learning features.
Snowflake Analytics requires better orchestration, integration, Python support, price transparency, data exports, and enhanced machine learning and performance features.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
Sr. Team Lead - IT at InfoStretch
In general, if I know SQL and start playing around, it will start making sense.
Expert Analyst at a healthcare company with 5,001-10,000 employees
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
Chief Technical Lead at a consultancy with 201-500 employees
AIML-based SQL prompt and query generation could be an area for enhancement.
Senior Software Architect at USEReady
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
Data Governance Architect at Sterlite Technologies Ltd
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
Associate Principal Engineer at Nagarro
 

Setup Cost

BigQuery uses a pay-as-you-go model, balancing affordability with strategic expense management for data storage and query execution.
Snowflake Analytics provides flexible pricing, balancing usability with cost, offering competitive rates and value through its decoupled storage and compute.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
Chief Technical Lead at a consultancy with 201-500 employees
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
Sr. Team Lead - IT at InfoStretch
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
BI Developer at DivVerse LLC
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Senior Software Architect at USEReady
Snowflake Analytics is quite economical.
Data Governance Architect at Sterlite Technologies Ltd
 

Valuable Features

BigQuery provides scalable, serverless data processing with fast query capabilities, seamless GCP integration, SQL support, and competitive pricing.
Snowflake Analytics offers efficient, scalable data management with strong security, cloud flexibility, and advanced features for seamless data integration.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
Expert Analyst at a healthcare company with 5,001-10,000 employees
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
Sr. Team Lead - IT at InfoStretch
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
Chief Technical Lead at a consultancy with 201-500 employees
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
BI Developer at DivVerse LLC
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Data Governance Architect at Sterlite Technologies Ltd
It is a data offering where I can see data lineage, data governance, and data security.
Senior Software Architect at USEReady
 

Categories and Ranking

BigQuery
Ranking in Cloud Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
43
Ranking in other categories
No ranking in other categories
Snowflake Analytics
Ranking in Cloud Data Warehouse
10th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
43
Ranking in other categories
Web Analytics (2nd)
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of BigQuery is 8.0%, up from 7.3% compared to the previous year. The mindshare of Snowflake Analytics is 2.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
BigQuery8.0%
Snowflake Analytics2.5%
Other89.5%
Cloud Data Warehouse
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
Garima Goel - PeerSpot reviewer
Associate Principal Engineer at Nagarro
Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features
There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
14%
Computer Software Company
10%
Media Company
7%
Computer Software Company
13%
Marketing Services Firm
9%
Financial Services Firm
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise9
Large Enterprise20
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise13
Large Enterprise20
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency. I cannot have e...
What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
What needs improvement with Snowflake Analytics?
In my opinion, Snowflake Analytics can be improved by introducing more features, such as additional integration options. I remember using Snowflake Pro, which allows exporting direct data into the ...
 

Overview

 

Sample Customers

Information Not Available
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about BigQuery vs. Snowflake Analytics and other solutions. Updated: March 2026.
884,797 professionals have used our research since 2012.