Snowflake is present in 4 markets with 4 products. Snowflake has 450 reviews with an overall average rating of 4.7.
Cloud Database Management Systems
Gartner defines the market for cloud database management systems (DBMSs) as software products that store and manipulate data and are primarily delivered as platform as a service (PaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises or in hybrid, multicloud or intercloud configurations. They can be used for transactional and/or analytical work. They typically persist data using a combination of proprietary and open components in a durable manner, enabling a full range of create, read, update and delete operations. They are used by application end users, designers, developers and operators of large database systems.
Snowflake has 1 product in Cloud Database Management Systems market
Data Clean Rooms
Data clean rooms are secure environments where multiple parties can analyze and share data without exposing raw data to each other. They enable collaborative analysis while ensuring privacy, compliance with data protection regulations, and strict access controls. These rooms use privacy-enhancing technologies to anonymize or aggregate data, allowing companies to gain insights from combined datasets without compromising individual privacy or proprietary information. The typical users include advertisers, publishers, data providers, and tech companies seeking to perform joint data analysis for marketing, research, and business intelligence.
Snowflake has 1 product in Data Clean Rooms market
Data Marketplaces and Exchanges
Data marketplaces and exchanges provide infrastructure, transactional capabilities and services for consumers and providers of data assets. Marketplaces prioritize data monetization via one-time or recurring subscription transactions, while exchanges prioritize sharing. Internal data exchanges facilitate enterprise data sharing and remove silos to cross-organization data product provision and access. AI’s need for large, varied and specialized datasets to train models has increased the demand for greater convenience in data sharing, purchase and consumption. Although adoption remains in the early phases, they provide liquidity to the data products space, enabling the sale, purchase or exchange of data products with relative ease. They enable secure multi‑party collaboration across partners, suppliers, and regulators, supported by strong data governance frameworks that ensure lineage tracking, policy enforcement, and stewardship consistency. Data Marketplaces and Data Exchanges are typically used by data scientists, analysts, product strategists, and business teams who need high‑quality internal or external datasets for analytics, AI modeling, and decision‑making
Snowflake has 1 product in Data Marketplaces and Exchanges market
Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.
Snowflake has 1 product in Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning) market