Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
| Product | Market Share (%) |
|---|---|
| Snowflake | 17.8% |
| Dremio | 10.1% |
| Teradata | 8.7% |
| Other | 63.400000000000006% |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Databricks | 4.1 | 8.5% | 96% | 91 interviewsAdd to research |
| Azure Data Factory | 4.0 | 7.2% | 92% | 92 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 18 |
| Large Enterprise | 53 |
| Company Size | Count |
|---|---|
| Small Business | 369 |
| Midsize Enterprise | 225 |
| Large Enterprise | 1194 |
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
Snowflake was previously known as Snowflake Computing, Snowflake Data Cloud.
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
| Author info | Rating | Review Summary |
|---|---|---|
| Technology Leader at eTCaaS | 4.5 | I began using Snowflake at Fidelity Investments due to its cloud-based data lake capabilities and fast query processing. Its separation of compute and storage enhances performance. However, I find the cost relatively high and hope for cost reductions. |
| Data Architect at a tech services company with 10,001+ employees | 4.5 | I primarily use Snowflake for data hosting and analysis, enjoying its scalable independence of compute and storage, and integration with third-party tools. However, I need cost estimation tools and improved user experience for data observability. Snowflake competes with Databricks. |
| Senior Enterprise Architect at Boston Scientific | 3.5 | I use Snowflake to create a data lake for our consumer base, providing easy data ingestion and engineering capabilities without needing additional ETL tools. Its simplicity surpasses Oracle, though it could improve with more AI features. |
| Head of Big Data Department at IBA Group | 4.0 | No summary available |
| Center Head - Goa Regional Delivery Center. at a tech services company with 51-200 employees | 4.0 | I primarily use Snowflake for data warehousing and analytics, valuing its performance, scalability, and frequent updates. Improvements are needed in pipeline creation and cost efficiency. Despite its productivity benefits, security and cost concerns exist, making customer adoption cautious. |
| Manager - Business Technology Solutions at a consultancy with 1,001-5,000 employees | 3.5 | We extensively use Snowflake for reporting and analytics, benefiting from its speed and data ingestion capabilities. Despite high storage and extraction costs, the solution's features justify its value. However, exploring other products may help control expenses. |
| Program Manager at InfoCepts | 4.5 | We use Snowflake as a database on AWS for its flexibility in adjusting warehouse sizes, which enhances query execution. However, its real-time streaming is limited and requires structured data. Snowflake's interface and scalability led us to switch from IBM Netezza in 2020. |
| Cloud Data Engineer at Expo Design Center | 3.5 | I find Snowflake effective for building data warehouses due to its good performance and data transformation capabilities. However, its proprietary format complicates data export, and improvements are needed for data science workloads compared to other market options. |
