Snowflake Analytics Reviews

Name: Snowflake Analytics
Brand: Snowflake Computing
Rating: 4.2 (40 reviews)

4.2 out of 5

40 reviews
100% willing to recommend

What is Snowflake Analytics?

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

Get the Snowflake Analytics Buyer's Guide and find out what your peers are saying about Snowflake Analytics, Azure Data Factory, Teradata and more!

Snowflake Analytics is the #1 ranked solution in top Web Analytics solutions and #9 ranked solution in top Cloud Data Warehouse solutions. PeerSpot users give Snowflake Analytics an average rating of 8.4 out of 10. Snowflake Analytics is most commonly compared to Azure Data Factory: Snowflake Analytics vs Azure Data Factory. Snowflake Analytics is popular among the large enterprise segment, accounting for 57% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 17% of all views.

Helped 856,873 peers since 2012

Featured Snowflake Analytics reviews

Paresh_Nayak

Solutions Architect at a financial services firm with 5,001-10,000 employees

The internal design engine and the columnar database are particularly valuable. These features reduce input and output memory, which is crucial in handling large data sets. The solution fulfills the business requirement for scaling and analytics. Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.

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KamleshPant

Senior Software Architect at USEReady

It is a data offering where I can see data lineage, data governance, and data security. Snowflake has a streaming capability to work with real-time streaming data and delta tables. Additionally, task management, job scheduling, and connecting multiple data sources unify my data across internal and external sources. The system ecosystem for analytics is enhanced, and AI capabilities are incorporated.

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AyindeHammed

BI Developer at DivVerse LLC

One of the distinctive features of Snowflake is its ability to handle large datasets efficiently. For instance, 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. Snowflake Analytics can also embed Python code seamlessly, allowing for diverse tasks within the database. There are features such as filtering and sorting, which make it easier to use than other databases. The fact that Snowflake charges per query, which incurs only a minimal cost, is favorable compared to other databases.

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Snowflake Analytics mindshare

Product category:

As of June 2025, the mindshare of Snowflake Analytics in the Web Analytics category stands at 5.3%, down from 6.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Web Analytics

PeerResearch reports based on Snowflake Analytics reviews

Type	Title	Date
Category	Web Analytics	Jun 15, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 15, 2025	Download
Comparison	Snowflake Analytics vs Amplitude	Jun 15, 2025	Download
Comparison	Snowflake Analytics vs Google Analytics	Jun 15, 2025	Download

Title	Rating	Mindshare	Recommending
Azure Data Factory	4.0	N/A	92%	91 interviews Add to research
Teradata	4.1	N/A	87%	76 interviews Add to research

Valuable Features

Snowflake Analytics offers inbuilt infrastructure for query execution, advanced features like time travel and zero-copy cloning, seamless data integration, and supports multiple cloud providers. Users appreciate its scalability, performance, data sharing, cost management, and user-friendly interface. It efficiently handles large datasets, supports structured and unstructured data, and eliminates the need for traditional maintenance. SQL familiarity eases usability. Organizations highlight robust security, flexibility, and valuable capabilities for analytics and machine learning tasks.

"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."
"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."
"Snowflake has a streaming capability to work with real-time streaming data and delta tables."

Room for Improvement

Snowflake Analytics users highlight areas needing enhancement in orchestration, compatibility with legacy systems, and integration with AI and machine learning tools. The platform's user interface and cost transparency are also concerns. Users find the absence of on-premises solutions and limited programmatic capabilities as drawbacks. Data loading, execution speed, and reporting tool integration need refinement. Enhancements in real-time transactional processing and support for additional programming languages are desirable. Improved built-in data management tools are suggested.

"However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better."
"Navigating the user console can be challenging, particularly when looking for details like the account ID."
"AIML-based SQL prompt and query generation could be an area for enhancement."

ROI

ROI from Snowflake Analytics varies; some see a 40-50% improvement over legacy systems, while others observe no significant returns. Savings often come from reduced operational costs by optimizing storage and computing resources. Snowflake enables time savings of over 50% on various tasks, though exact benefits depend on task specifics. Users manage costs by scheduling tasks efficiently, and by using clones, teams collaborate without disrupting data while maintaining cost efficiency.

Pricing

Enterprise buyers evaluating Snowflake Analytics report a pricing model based on usage, offering both pay-as-you-go and prepaid plans. Costs can be high for intensive compute needs but are competitive, especially for small organizations. Snowflake's decoupling of compute from storage allows flexible resource management. Pricing varies significantly, with some customers spending millions annually and others only tens of thousands. The model includes consumption-based charges per query or credit, and effective configuration can optimize costs.

"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."
"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."

Popular Use Cases

Organizations primarily utilize Snowflake Analytics for cloud-based data warehousing and business analytics. It supports advanced analytics, data migration, and integration with machine learning technologies. Snowflake's architecture enables efficient data storage, real-time analytics, and diverse database operations. Companies leverage it for reporting, data organization, and creating analytical models across industries like healthcare, real estate, finance, and tourism. Its compatibility with tools such as Power BI enhances reporting and data-driven decision-making processes.

Service and Support

Snowflake Analytics is praised for its responsive support, with ratings varying from 4 to 9 out of 10. Many find the service efficient, especially during critical situations. However, some experience difficulties with direct access to assistance unless they are major partners. While community resources are mentioned, they are not always adequate for large issues. Support is enhanced by collaboration with partner teams. Instances of MFA guidance highlight the thoroughness of the service provided.

Deployment

Many found Snowflake Analytics setup straightforward, citing ease due to its cloud-based nature. Deployment times varied from minutes to months, influenced by customization and expertise levels. Users appreciated the platform's configurability for specific needs, though some faced challenges with initial connections or syntax issues. With automated configurations and its SaaS model, it is generally rated highly for user-friendliness. Security features, like multi-factor authentication, were noted as beneficial during setup.

Scalability

Snowflake Analytics is recognized for excellent scalability. It offers seamless scaling in cloud environments, handling large data efficiently without extensive planning. Users praise its flexibility and auto-scaling capabilities, which optimize performance under varying loads. As a cloud-based tool, it leverages existing resources for extensive data processing. It supports both horizontal and vertical scaling, adjusting storage and compute needs dynamically, making it suitable for enterprises with varying data demands.

Stability

Users consistently rate Snowflake Analytics as stable, with most scores ranging from eight to ten out of ten. It is noted for reliability, lacking bugs or crashes, and benefits from cloud-based elasticity. Some encountered minor issues during development, but these were resolved. High availability and consistent performance contribute to its stable reputation, backed by users who report no need for technical support. The platform efficiently manages data orchestration and transformation without incidents.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Snowflake Analytics Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

17%

Retailer

11%

Financial Services Firm

10%

Healthcare Company

Government

Insurance Company

Real Estate/Law Firm

Non Profit

Construction Company

Educational Organization

University

Energy/Utilities Company

Comms Service Provider

Manufacturing Company

Legal Firm

Recreational Facilities/Services Company

Marketing Services Firm

Pharma/Biotech Company

Media Company

Wholesaler/Distributor

Consumer Goods Company

Hospitality Company

Logistics Company

Mining And Metals Company

Non Tech Company

Outsourcing Company

Performing Arts

Venture Capital & Private Equity Firm

Agriculture

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Learn more about Snowflake Analytics

To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.