Snowflake Features
What are the features of Snowflake?
Deployment
- On-Premise
- Cloud
Database
- Data Distribution
Data Management
- Data Integration
- Data Compression
- Data Quality
- Built-In Data Analytics
- In-Database Machine Learning
- Data Lake Analytics
Integration
- AI/ ML Integration
- BI Tool Integration
- Data lake Integration
Performance
- Scalability
Security
- Data Governance
- Data Security
Snowflake Categories on G2
Filter for Features
Model Development
Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | Not enough data | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models | Not enough data | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development | Not enough data | |
Model Training | Supplies large data sets for training individual models | Not enough data | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development | Not enough data | |
Model Training | Supplies large data sets for training individual models | Not enough data | |
Feature Engineering | Transforms raw data into features that better represent the underlying problem to the predictive models | Not enough data |
Machine/Deep Learning Services
Computer Vision | Offers image recognition services | Not enough data | |
Natural Language Processing | Offers natural language processing services | Not enough data | |
Natural Language Generation | Offers natural language generation services | Not enough data | |
Artificial Neural Networks | Offers artificial neural networks for users | Not enough data | |
Computer Vision | Offers image recognition services | Not enough data | |
Natural Language Understanding | Offers natural language understanding services | Not enough data | |
Natural Language Generation | Offers natural language generation services | Not enough data | |
Deep Learning | Provides deep learning capabilities | Not enough data |
Deployment
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure | Not enough data | |
Application | Allows users to insert machine learning into operating applications | Not enough data | |
Scalability | Provides easily scaled machine learning applications and infrastructure | Not enough data | |
Language Flexibility | Allows users to input models built in a variety of languages. | Not enough data | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. | Not enough data | |
Versioning | Records versioning as models are iterated upon. | Not enough data | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. | Not enough data | |
Scalability | Offers a way to scale the use of machine learning models across an enterprise. | Not enough data | |
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure | Not enough data | |
Application | Allows users to insert machine learning into operating applications | Not enough data | |
Scalability | Provides easily scaled machine learning applications and infrastructure | Not enough data | |
On-Premise | Based on 87 Snowflake reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options. | 75% (Based on 87 reviews) | |
Cloud | Based on 118 Snowflake reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud). | 92% (Based on 118 reviews) | |
Language Flexibility | Allows users to input models built in a variety of languages. | Not enough data | |
Framework Flexibility | Allows users to choose the framework or workbench of their preference. | Not enough data | |
Versioning | Records versioning as models are iterated upon. | Not enough data | |
Ease of Deployment | Provides a way to quickly and efficiently deploy machine learning models. | Not enough data | |
Scalability | Offers a way to scale the use of machine learning models across an enterprise. | Not enough data |
Database
Real-Time Data Collection | Collects, stores, and organizes massive, unstructured data in real time 70 reviewers of Snowflake have provided feedback on this feature. | 87% (Based on 70 reviews) | |
Data Distribution | As reported in 73 Snowflake reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters | 92% (Based on 73 reviews) | |
Data Lake | Based on 68 Snowflake reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. | 93% (Based on 68 reviews) |
Integrations
Hadoop Integration | As reported in 51 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 85% (Based on 51 reviews) | |
Spark Integration | Based on 55 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 87% (Based on 55 reviews) |
Platform
Machine Scaling | Facilitates solution to run on and scale to a large number of machines and systems 64 reviewers of Snowflake have provided feedback on this feature. | 90% (Based on 64 reviews) | |
Data Preparation | Based on 70 Snowflake reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model | 90% (Based on 70 reviews) | |
Spark Integration | Based on 55 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 87% (Based on 55 reviews) |
Processing
Cloud Processing | As reported in 68 Snowflake reviews. Moves big data collection and processing to the cloud | 92% (Based on 68 reviews) | |
Workload Processing | As reported in 67 Snowflake reviews. Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems | 90% (Based on 67 reviews) |
Data Transformation
Real-Time Analytics | Facilitates analysis of high-volume, real-time data. This feature was mentioned in 44 Snowflake reviews. | 91% (Based on 44 reviews) | |
Data Querying | Based on 44 Snowflake reviews. Allows user to query data through query languages like SQL. | 90% (Based on 44 reviews) |
Connectivity
Hadoop Integration | Based on 39 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 80% (Based on 39 reviews) | |
Spark Integration | As reported in 39 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Spark | 84% (Based on 39 reviews) | |
Multi-Source Analysis | As reported in 39 Snowflake reviews. Integrates data from multiple external databases. | 88% (Based on 39 reviews) | |
Data Lake | Facilitates the dissemination of collected big data throughout parallel computing clusters. This feature was mentioned in 41 Snowflake reviews. | 88% (Based on 41 reviews) |
Operations
Data Visualization | Based on 43 Snowflake reviews. Processes data and represents interpretations in a variety of graphic formats. | 79% (Based on 43 reviews) | |
Data Workflow | As reported in 40 Snowflake reviews. Strings together specific functions and datasets to automate analytics iterations. | 88% (Based on 40 reviews) | |
Governed Discovery | Isolates certain datasets and facilitates management of data access. 37 reviewers of Snowflake have provided feedback on this feature. | 86% (Based on 37 reviews) | |
Embedded Analytics | Based on 40 Snowflake reviews. Allows big data tool to run and record data within external applications. | 83% (Based on 40 reviews) | |
Notebooks | Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations 37 reviewers of Snowflake have provided feedback on this feature. | 83% (Based on 37 reviews) | |
Metrics | Control model usage and performance in production | Not enough data | |
Infrastructure management | Deploy mission-critical ML applications where and when you need them | Not enough data | |
Collaboration | Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. | Not enough data |
Management
Cataloging | Records and organizes all machine learning models that have been deployed across the business. | Not enough data | |
Monitoring | Tracks the performance and accuracy of machine learning models. | Not enough data | |
Governing | Provisions users based on authorization to both deploy and iterate upon machine learning models. | Not enough data | |
Model Registry | Allows users to manage model artifacts and tracks which models are deployed in production. | Not enough data | |
Data dictionary | Stores the database metadata, that is the definitions of data elements, types, relationships etc. This feature was mentioned in 56 Snowflake reviews. | 88% (Based on 56 reviews) | |
Data Replication | Creates a copy of the database to maintain consistency and integrity. This feature was mentioned in 56 Snowflake reviews. | 90% (Based on 56 reviews) | |
Query Language | Allows users to create, update and retrieve data in a database. 61 reviewers of Snowflake have provided feedback on this feature. | 93% (Based on 61 reviews) | |
Data Modeling | See feature definition | Defines the logical design of the data before building the schemas. This feature was mentioned in 59 Snowflake reviews. | 87% (Based on 59 reviews) |
Performance Analysis | As reported in 60 Snowflake reviews. Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. | 89% (Based on 60 reviews) | |
Cataloging | Records and organizes all machine learning models that have been deployed across the business. | Not enough data | |
Monitoring | Tracks the performance and accuracy of machine learning models. | Not enough data | |
Governing | Provisions users based on authorization to both deploy and iterate upon machine learning models. | Not enough data |
System
Data Ingestion & Wrangling | Gives user ability to import a variety of data sources for immediate use | Not enough data | |
Language Support | Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | Not enough data | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models | Not enough data | |
API Flexibility | Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions. | Not enough data | |
Update Frequency and Utility | Regularly receives updates that contribute to continuous improvement of the product. | Not enough data | |
Cross-Platform Compatibility | Assesses the chatbot's ability to function seamlessly across various platforms and devices. | Not enough data | |
Software Integration | Seamlessly integrates with other platforms or software systems, enhancing overall utility. | Not enough data |
Data Management
Data Integration | Based on 124 Snowflake reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources. | 89% (Based on 124 reviews) | |
Data Compression | Based on 110 Snowflake reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance. | 88% (Based on 110 reviews) | |
Data Quality | Based on 120 Snowflake reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity. | 89% (Based on 120 reviews) | |
Built-In Data Analytics | Based on 113 Snowflake reviews and verified by the G2 Product R&D team. SQL based analytics functions like Time series, pattern matching, geospatial analytics etc. | 81% (Based on 113 reviews) | |
In-Database Machine Learning | Based on 95 Snowflake reviews and verified by the G2 Product R&D team. Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc. | 80% (Based on 95 reviews) | |
Data Lake Analytics | Based on 99 Snowflake reviews and verified by the G2 Product R&D team. Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS | 86% (Based on 99 reviews) |
Integration
AI/ ML Integration | Based on 88 Snowflake reviews and verified by the G2 Product R&D team. Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities. | 80% (Based on 88 reviews) | |
BI Tool Integration | Based on 114 Snowflake reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights. | 87% (Based on 114 reviews) | |
Data lake Integration | Based on 105 Snowflake reviews and verified by the G2 Product R&D team. Provides speed in data processing and capturing unstructured, semi-structured and streaming data. | 88% (Based on 105 reviews) |
Performance
Scalability | Based on 120 Snowflake reviews and verified by the G2 Product R&D team. Manages huge volumes of data, upscale or downscale as per demand. | 92% (Based on 120 reviews) |
Maintenance
Data Migration | Allows data movement from one database to another. 58 reviewers of Snowflake have provided feedback on this feature. | 92% (Based on 58 reviews) | |
Backup and Recovery | Provides data backup and recovery functionality to protect and restore a database. This feature was mentioned in 57 Snowflake reviews. | 88% (Based on 57 reviews) | |
Multi-User Environment | Allows users to access and work on data concurrently, supporting several views of the data. 58 reviewers of Snowflake have provided feedback on this feature. | 93% (Based on 58 reviews) |
Security
Data Encryption | Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. 58 reviewers of Snowflake have provided feedback on this feature. | 91% (Based on 58 reviews) | |
User Access Control | As reported in 60 Snowflake reviews. Allows restricted user acess to modify depending on the access level. | 91% (Based on 60 reviews) | |
Data Governance | Based on 111 Snowflake reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data. | 87% (Based on 111 reviews) | |
Data Security | Based on 122 Snowflake reviews and verified by the G2 Product R&D team. Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion | 90% (Based on 122 reviews) | |
Role-Based Authorization | Provides predefined system roles, privileges, and user-defined roles to users. This feature was mentioned in 36 Snowflake reviews. | 90% (Based on 36 reviews) | |
Authentication | Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. This feature was mentioned in 37 Snowflake reviews. | 92% (Based on 37 reviews) | |
Audit Logs | Based on 30 Snowflake reviews. Provides an audit log to track access and operations performed on databases for regulatory compliance. | 89% (Based on 30 reviews) | |
Encryption | Based on 31 Snowflake reviews. Provides encryption capability for all the data at rest using encryption keys. | 91% (Based on 31 reviews) |
Storage
Data Model | Stores data tables as columns. 37 reviewers of Snowflake have provided feedback on this feature. | 91% (Based on 37 reviews) | |
Data Types | As reported in 36 Snowflake reviews. Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. | 91% (Based on 36 reviews) |
Availability
Auto Sharding | Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. This feature was mentioned in 32 Snowflake reviews. | 90% (Based on 32 reviews) | |
Auto Recovery | Based on 30 Snowflake reviews. Restores a database to a correct (consistent) state in the event of a failure. | 92% (Based on 30 reviews) | |
Data Replication | Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. 34 reviewers of Snowflake have provided feedback on this feature. | 91% (Based on 34 reviews) |
Performance
Integrated Cache | Based on 36 Snowflake reviews. Stores frequently-used data in system memory quickly. | 92% (Based on 36 reviews) |
Support
Multi-Model | As reported in 29 Snowflake reviews. Provides support to store, index and query data in more than one format. | 93% (Based on 29 reviews) | |
Operating Systems | Available on multiple operating systems like Linux, Windows, MacOS etc. This feature was mentioned in 28 Snowflake reviews. | 90% (Based on 28 reviews) |
Centralized computation
Centralized Computation | Offers a centralize, neutral location for parties to conduct data analysis. This feature was mentioned in 14 Snowflake reviews. | 89% (Based on 14 reviews) |
Localized computation
Localized computation | Offers localized computation, where data remains where it resides and is called by API in order to conduct analysis. 14 reviewers of Snowflake have provided feedback on this feature. | 86% (Based on 14 reviews) |
Data
Reliability | Ensures consistent performance, delivering reliable outputs based on user prompts. | Not enough data | |
Data Security | Implements stringent measures to protect user data and ensure privacy. | Not enough data |
Interaction
Complex Query Handling | Shows adeptness in comprehending and responding to complex or multi-part queries. | Not enough data | |
Natural Conversation | Facilitates natural and human-like conversations, delivering engaging interaction experiences. | Not enough data | |
Understanding | Demonstrates a sophisticated understanding of both written and spoken user commands. | Not enough data | |
Context Management | Exhibits proficiency in maintaining and utilizing context throughout a conversation. | Not enough data | |
Customizability | Offers a high degree of customization to meet individual user or business requirements. | Not enough data |
Learning
User Interaction Learning | Features robust learning mechanisms, improving responses over time based on past user interactions. | Not enough data | |
Error Learning | Showcases the ability to recognize, correct, and learn from its own mistakes. | Not enough data |
Content Generation
Creativity | Displays creativity in generating diverse, interesting, and contextually relevant responses. | Not enough data | |
Content Accuracy | Produces content that is accurate, factually correct, and relevant to the user's query. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text-to-Image | Provides the ability to generate images from a text prompt. | Not enough data |
