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.
| Product | Market Share (%) |
|---|---|
| Snowflake Analytics | 4.6% |
| Amplitude | 16.3% |
| Google Analytics 360 | 12.4% |
| Other | 66.7% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Web Analytics | Sep 3, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Sep 3, 2025 | Download |
| Comparison | Snowflake Analytics vs Amplitude | Sep 3, 2025 | Download |
| Comparison | Snowflake Analytics vs Google Analytics 360 | Sep 3, 2025 | Download |
| Comparison | Snowflake Analytics vs Heap | Sep 3, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Azure Data Factory | 4.0 | N/A | 92% | 92 interviewsAdd to research |
| Teradata | 4.1 | N/A | 87% | 76 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 12 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 45 |
| Midsize Enterprise | 27 |
| Large Enterprise | 74 |
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.
| Author info | Rating | Review Summary |
|---|---|---|
| Solutions Architect at a financial services firm with 5,001-10,000 employees | 4.0 | Our primary use case for Snowflake Analytics is building a cloud data warehouse to support business analytics. Its valuable features include a robust internal design engine and data security. Switching from Redshift and Azure, we've found Snowflake more popular and cost-effective. |
| Senior Software Architect at USEReady | 4.5 | I use Snowflake Analytics to load and analyze data for insights. It provides features like data lineage, governance, security, and real-time streaming. While AIML integration could improve, it's cost-effective and preferable to Redshift for my needs. |
| BI Developer at DivVerse LLC | 4.5 | I primarily use Snowflake for SQL queries and data management. Its ability to handle large datasets efficiently, embed Python code, and minimal cost per query distinguishes it from others, though navigating the console could improve. Switching from Microsoft SQL Server vastly improved execution speed. |
| Data engineer at Cocos pt | 4.5 | I use Snowflake as a data warehouse, leveraging AWS S3 for computing and storage, and appreciate its ability to handle semi-structured data. I've found that optimizing query performance and scheduling reduces costs effectively compared to alternatives like Redshift. |
| Director at Hexaware Technologies Limited | 4.0 | No summary available |
| Data Governance/Data Engineering Manager at National Bank of Fujairah PJSC | 4.0 | I find Snowflake to be an excellent solution for structured data in the cloud with easy deployment and integration capabilities. However, its machine learning functionality is still developing and may not match Databricks yet, particularly regarding Python integration. |
| Senior Data Engineer at Warner Media Discovery | 3.5 | We use Snowflake Analytics for integrating and visualizing revenue data from various vendors. Its valuable features include data ingestion, Streams, and analytics capabilities like materialized views. However, the scheduling of jobs needs UI improvements compared to other platforms. |
| Technical Lead at a computer software company with 10,001+ employees | 4.0 | Snowflake's automatic optimization and scalability, along with time travel and data-sharing capabilities, impressed us, especially compared to Redshift and Azure Synapse. However, it needs improvement in machine learning and AI to strengthen its appeal in the data science space. |
