Snowflake vs Google Cloud BigQuery

Tableau

Google Cloud

Microsoft SQL Server

PostgreSQL

Amazon Redshift

Longview Tax

A cloud based Data platform

Operate a relational database in the cloud!

We required a cloud based, scaleable data warehouse to replace our on-premise MS SQL stack. So far Snowflake has proved to be the right choice

Snowflake Review

Snowflake for Data Analysis

Best cloud data warehouse platform at the moment. Love, everything Snowflake has to offer. Easy to build pipelines, data sharing from production to non-prod in seconds, 0-copy cloning in 0-seconds :), amazing time travel, robust security, near real-time data ingestions, flexible compute power, and all possible compliance and certifications we can expect (Hippa/PCI/sox etc) indeed "built for the cloud"

Snowflake - Next generation cloud warehouse

Maintaining on-premise database systems is expensive and maintenance heavy. Moving to a cloud database like Snowflake cuts down costs and is easy to maintain also. Since Snowflake supports a variety of flat file formats as sources, it becomes easier to bulk load data as flat files in storage spaces like AWS S3. Migrating data from cloud storage to Snowflake becomes much more easier.

Snowflake - Speed in the Cloud!

It's really great, Snowflake offered a lot of flexibility which parallel cloud-based warehouses could not offer the same. Snowflake can scale both vertically and horizontally to cater all needs.



Snowflake - The next generation cloud data warehouse

Doing big things 

Snowflake

It is a great modern Data Cloud / Platform product for teams that don't want to spend time managing infrastructure. The SQL-first approach makes the onboarding time and learning curve for the product very very short.

Best data cloud for modern data platforms. 

Snowflake supports both our analytics (dashboards and ad-hoc queries) and machine learning, including PySpark clusters. Our data scientists have found it a pleasure to work with, with rich analytics query support. The cloud-based technical architecture provides significant advantages over other offerings, including the critical ability to segment usage patterns and scale reliably. 

Skip Redshift, Snowflake scales reliably

A great example of a data warehouse solution

Did a proof of concept  for my company comparing Snowflake to other databases that we use.

Overall if I ignore the cost factor, I am very much satisfied with Snowflake and with the features and capabilities it exposes. For a fast growing DataWarehouse, Snowflake is a very good choice as it is secure, robust and scalable.

Modern warehouse on cloud technology

I love Snowflake as they have made data warehousing a very easy activity. Having the ability to use SQL to query huge data sets is revolutionary.

Taking Cloud Data Warehousing To Another Level

Snowflake: Good tool in the World of Data Warehousing

Grabbing data from our data warehouse is 10x more effective and way faster than it used to be. Snowflake is awesome.

Fast, sleek, sexy

Want quick and easy query results? Then yes, Snowflake is correct

We have a lean team of data engineers and as a result cannot automate as many data sources as we'd like.  In the interim, our analysts utilize Snowflake to incorporate data into our multifaceted reports.

Snowflake is an affordable solution that enables analysts and non-technical folk to build DWs.

We use Snowflake to aggregate hundreds and hundreds of disparate databases across many different clouds and platforms into one single data warehouse allowing us, for the first time, to give customers visibility of all their data across all our products.

The incredible power of a cloud data platform

It perfectly bridges the gap between a Data Warehouse and a Data Lake being highly available, good for scaling up or down as per needs automatically to provide the best performance and optimization for your queries. Can store and give access to huge volumes of data which can be necessary for future decision making.

My take on Snowflake

This really speeds up your sql computation, since we can use different computation warehouse on a same datasource, which distributes the load, it is a great experience with Snowflake

Data warehousing and computation as a cloud service

Snowflake is very appropriate assuming your association needs to begin little with negligible speculation, and afterward develop at any speed. It is additionally useful for groups that definitely know SQL from chipping away at another stage, like MS SQL Server. It matches all around well with incorporation errands on account of its local capacity to deal with JSON information, for both import and questioning. 

In the event that your instruments can just associate by JDBC (no local Snowflake connector) you might have a few issues with enormous informational collections. This is actually a restriction of utilizing JDBC, not Snowflake, but rather it is something to know about.

Review for Snowflake

Their customer service and training have been solid - I think MS takes the edge here for training but Snowflake wins for customer service (at least on non-business critical issues) 

Solid Modern platform for EDW

I have an amazing experience using Snowflake. It is better than out previous Data Warehouse solution in everything I can think of (besides pricing). We are very satisfied with, and I feel very confident on having it as the backend of all our data needs. 
It is also important to notice that we had a very pleasent experience with Snowflake's sales and account managers: they were very helpful and not pushy at all. 

A fantastic data warehouse solution that solved all our problems

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. 

Superb, Scalable Technology

Compare Snowflake and Google Cloud BigQuery based on features, pricing, verified reviews, integrations & more on GetApp. Find out which software is best for your business in 2025.

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.

Google Cloud Platform is a modular-based platform providing multiple build and scale services to businesses of any size within any industry. It offers tools for document storage, data warehousing, security key enforcement, app creation, API management, AI and machine learning, live chat, and more.

PostgreSQL is an open-source relational database management system (RDBMS), which helps businesses store, manage, and scale data workloads, from single machines to data warehouses with multiple concurrent users.

Snowflake is a cloud data platform that can enable critical data workloads and secure collaboration. This solution can be used to run data across multiple regions for a single, unified experience across a business ecosystem. Using a multi-cluster shared data architecture, Snowflake provides access to the same data without affecting business performance. The platform can scale to any volume of data and number of users.

Access Controls/Permissions

Activity Dashboard

Compliance Management

Dashboard

Data Capture and Transfer

Data Connectors

Data Dictionary Management

Data Discovery

Data Integration

Data Management

Data Migration

Data Security

Data Storage Management

Data Synchronization

Data Visualization

ETL - Extract Transfer Load

High Volume Processing

In-Database Processing

Information Governance

Metadata Management

ML Algorithm Library

Model Training

Performance Analysis

Real-Time Data

Real-Time Monitoring

Reporting/Analytics

Role-Based Permissions

Secure Data Storage

Third-Party Integrations

User Management

Workflow Management

Web-based

Data and Analytics Manager

I have an amazing experience using Snowflake. It is better than out previous Data Warehouse solution in everything I can think of (besides pricing).

Lead Analyst

This is a cloud database and warehousing service, the syntax of snowflake is like psql. They have a good community support and good documentations for all the queries.

Regional Director Solutions Engineering

They just added visualization and it is amazing. Super fast to run queries and extremely easy to use and share.

Data Analyst

It is a great data warehouse that allows you to create different tables very quickly. It has been great to use even if there are some quirks with it.

Developer

Exceptionally easy to scale up or out based on needs, and some nice cost-saving features like auto-suspend/resume for compute stuff.

Escalations Specialist

Great data warehouse system with a robust SQL application. Easy to use for any data solutions needed.

Senior Research Analyst

I like that it has a really good interface that is easily accessible. We were using AWS before this and it was really hard to get the connections right.

Analyst

The interface is very attractive, it is extremely fast to query huge datasets, and there is a strong online community of users to learn from.

Consultant

Big Data with Simple SQL - it is amazing how easy this product is to use but still as the horsepower to process billions of rows of data without a sweat.

Staff Software Engineer

Our data scientists have found it a pleasure to work with, with rich analytics query support.

I love the new features coming out and Snowflake just keeps getting better.

Data Engineer

Easy to integrate with AWS pipelines. Snowpipes and tasks are great.

The separation of storage-compute and cloud provider agnostic environment support is the best.

Senior Program Manager, Data Operations

Script error messages could be more specific and helpful with identifying errors and troubleshooting.

Costly if data is too big. You can't own the data, you have to depend on the Data Engineering team.

A minute potion of the syntax of sql is slightly different from psql, which makes it hard to migrate the application from different psql service providers.

For example, linking directly to the relevant section of their documentation, based on the type of error.

Senior Software Engineer

Its a great experience, our API's have become faster in response time, we stoped worrying about storage size and computation power , now its scalable and decoupled.

Snowflake screenshot: Snowflake - databases

Snowflake screenshot: Snowflake - warehouses

Snowflake screenshot: Snowflake - worksheets

Snowflake screenshot: Snowflake - history

Large Enterprises

Mid Size Business

Small Business

SQL Server is a relational database management system (RDMS) designed to help businesses of all sizes analyze structured or unstructured data across various data environments including Azure SQL Database, Azure Cosmos DB, MySQL, and more.

Tableau is the world’s leading AI-powered analytics and business intelligence platform. Learn More! 

Longview Tax is a corporate tax management solution that provides businesses with tools for managing tax strategies, collecting data, provisioning, and reporting on taxes. The cloud-based platform also offers tools for tax planning and helps businesses create data-driven strategies.

BigQuery is a serverless and multi-cloud data warehouse designed to help users turn big data into valuable business insights. Users can query structured data without the need to store it or load it into their own systems first.

Ad hoc Analysis

Ad hoc Query

Ad hoc Reporting

AI/Machine Learning

Auto Extraction

Batch Processing

Charting

Collaboration Tools

Configurable Workflow

Configuration Management

Customizable Templates

Dashboard Creation

Data Aggregation and Publishing

Data Classification

Data Cleansing

Data Clustering

Data Import/Export

Data Mining

Data Transformation

Data Warehousing

Database Support

Decision Support

Deep Learning

Demand Forecasting

For Education

For Healthcare

For Retail

Forecasting

In-Memory Processing

Modeling & Simulation

Multi-Language

Multiple Data Sources

Parallel Processing

Predictive Analytics

Process/Workflow Automation

Real-Time Analytics

Real-Time Reporting

Self-service Analytics

Sentiment Analysis

Templates

Time Series Analysis

Trend Analysis

Google Cloud BigQuery

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.

Director Of Digital Marketing

My overall experience has been wonderful. It's easy to set up and use, and Google even has training for how to use it on Coursera at a pretty cheap price.

There are a great many other softwires available in the Google Cloud that connect directly to BQ, so the whole system is set up to expand its usefulness without needing to buy more software.

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

Once the table is created it is difficult to edit the columns, so you have to delete it.

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.

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.

Senior Data Analyst

Sometimes when you make complex SQL queries, the debugging tool does not help a lot finding the problem.

Snowflake vs Google Cloud BigQuery Comparison (2025)

Snowflake

Google Cloud BigQuery

Overview

Video & Screenshots

Pricing

User reviews

Key features

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