Snowflake Analytics Reviews

Name: Snowflake Analytics
Brand: Snowflake Computing
Rating: 4.2 (39 reviews)

4.2 out of 5

39 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, Amplitude, Matomo and more!

Snowflake Analytics is the #1 ranked solution in top Web Analytics solutions and #8 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 Amplitude: Snowflake Analytics vs Amplitude. Snowflake Analytics is popular among the large enterprise segment, accounting for 59% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 19% of all views.

Helped 848,716 peers since 2012

Featured Snowflake Analytics reviews

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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Manoj Kambli

Director at Hexaware Technologies Limited

In terms of cost. Many customers face issues with the expenses on Snowflake. The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging. They need to provide better cost visibility upfront. For example, credits are not always utilized properly, which isn't easy for new users. A more user-friendly cost calculator would help, as the current one requires expertise to use effectively. These things are not easy for someone who is new to Snowflake, unlike Azure's calculators, which give good visibility into the cost. It does have a calculator, but you need to be skilled in using it. Otherwise, it's hard to estimate the total cost for future loads. For additional features, there could be its own AI model like Google has Gemini. Snowflake can come up with those kinds of features for Analytics. If you can just type in your prompt and get answers, especially for Analytics people on the client side, they will love that. Like, in Google's Gemini, you type the prompt and get the answers based on the data available. If they come up with that kind of AI and UI, it will be easier for clients to analyze their data. They can just type a query like, "What is my highest selling product?" They don't have to write a complex query.

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Snowflake Analytics mindshare

Product category:

As of April 2025, the mindshare of Snowflake Analytics in the Web Analytics category stands at 6.7%, up from 5.9% 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	Apr 24, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 24, 2025	Download
Comparison	Snowflake Analytics vs Amplitude	Apr 24, 2025	Download
Comparison	Snowflake Analytics vs Google Analytics	Apr 24, 2025	Download

Title	Rating	Mindshare	Recommending
Amplitude	4.1	16.1%	100%	4 interviews Add to research
Matomo	0.0	13.6%	0%	0 interviews Add to research

Valuable Features

Snowflake Analytics' strengths include inbuilt query infrastructure, scalability, and high security with the tri-secret key. It supports data warehousing, machine learning, and seamless data sharing. Features like time travel, zero-copy cloning, and flexible storage are valued. Performance is enhanced by decoupled computation and storage. Users appreciate data integration, ease of use, and extensive data-sharing capabilities. Its cloud-based nature offers rapid deployment, infinite scalability, maintenance-free operations, and significant cost efficiency, especially for data analytics.

"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."
"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."

Room for Improvement

Snowflake Analytics requires improvement in end-to-end job orchestration and direct integration with cloud systems. Data migration from legacy systems can be challenging, and query execution speed is often slower than MySQL. Machine learning integration, including support for Python and Jupyter notebooks, needs enhancement. Additional improvements are needed for user interfaces, cost transparency, AI capabilities, and on-premises support. Enhanced support for importing and exporting data and master data management is also essential.

"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."
"Improvements are needed in importing and exporting large datasets to and from reporting tools."

ROI

Snowflake Analytics users note a 40 to 50% improvement in ROI compared to legacy systems. Many highlight significant time savings of up to 50% in data-related tasks. Adjusting storage allocation and query schedules optimizes costs, leading to financial benefits. Computing and storage costs are key considerations. By using clones, teams work concurrently on data without affecting the main dataset, enhancing efficiency. Cost savings are likely, though full financial impacts remain undetermined.

Pricing

Enterprise users of Snowflake Analytics often find it more costly than Azure but competitive against Databricks for specific use cases. Pricing varies based on consumption, with charges for CPU usage, storage, and credits used. Snowflake offers upfront billing discounts, prepaid and postpaid options, and a pay-as-you-go model. While the overall cost can be high, users appreciate its flexibility, ease of use, and decoupling of compute and storage, rating prices between six and eight out of ten.

"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

Companies primarily use Snowflake Analytics for data warehousing, integration, analytics, and reporting. They employ it for tasks like SQL querying, data organization, and creating dashboards. Snowflake facilitates data migration to cloud storage, supports machine learning and AI applications, and offers real-time analytics. It seamlessly integrates with various technologies such as Azure Databricks and Python, providing a consolidated platform for managing, storing, and analyzing structured and unstructured data. Its scalability and ease of deployment are highly valued.

Service and Support

Customers often praise Snowflake Analytics' support for being responsive and efficient, with many rating it highly. Some mention timely assistance and robust documentation, while others find community support inadequate for large incidents. Users note that complex issues might take longer to resolve and that support quality can vary. Most appreciate the knowledgeable team and swift response times. For some, interactions are minimal due to successful in-house problem-solving, with mixed experiences regarding direct technical support.

Deployment

Snowflake Analytics's initial setup is generally straightforward and user-friendly. Many users appreciate the ease due to its cloud-based nature, allowing for quick configuration and deployment. Some experienced challenges with complex configurations or when additional expertise was required. Setup times ranged from minutes to longer for more detailed deployments. Ratings for ease of setup were mostly high, reflecting positive experiences with user creation and account management.

Scalability

Snowflake Analytics offers excellent scalability, effectively handling large data volumes in a cloud environment. Users benefit from auto-scaling features, allowing easy adjustments in compute and storage capacities. The capacity to instantly scale up or down supports enterprise-level demands. Ratings frequently highlight strong scalability performance, demonstrating the tool's adaptability compared to competitors. Organizations experience seamless scaling without prior load calculations, and many utilize Snowflake on platforms like AWS, optimizing performance through separate compute and storage layers.

Stability

Snowflake Analytics displays high stability with no significant bugs or crashes. Users consistently rate its stability between eight and ten out of ten. Many appreciate the platform's load-balancing and high availability features, backed by cloud providers. While a few mention initial maintenance issues, these have improved. No major incidents have been reported over several years, and most users find its reliability satisfactory. A single short outage was noted in the past two years.

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

19%

Retailer

13%

Financial Services Firm

Manufacturing Company

Government

Healthcare Company

Non Profit

Real Estate/Law Firm

Insurance Company

Construction Company

University

Energy/Utilities Company

Legal Firm

Educational Organization

Comms Service Provider

Recreational Facilities/Services Company

Wholesaler/Distributor

Marketing Services Firm

Media Company

Pharma/Biotech Company

Non Tech Company

Mining And Metals Company

Logistics Company

Hospitality Company

Consumer Goods Company

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.