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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

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 16 reviewers of Snowflake have provided feedback on this feature.
93%
(Based on 16 reviews)

Drag and Drop

Based on 16 Snowflake reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models
89%
(Based on 16 reviews)

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development This feature was mentioned in 16 Snowflake reviews.
83%
(Based on 16 reviews)

Model Training

Supplies large data sets for training individual models 16 reviewers of Snowflake have provided feedback on this feature.
89%
(Based on 16 reviews)

Pre-Built Algorithms

As reported in 16 Snowflake reviews. Provides users with pre-built algorithms for simpler model development
83%
(Based on 16 reviews)

Model Training

Based on 16 Snowflake reviews. Supplies large data sets for training individual models
88%
(Based on 16 reviews)

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models 16 reviewers of Snowflake have provided feedback on this feature.
93%
(Based on 16 reviews)

Machine/Deep Learning Services

Computer Vision

Offers image recognition services 16 reviewers of Snowflake have provided feedback on this feature.
89%
(Based on 16 reviews)

Natural Language Processing

Based on 16 Snowflake reviews. Offers natural language processing services
89%
(Based on 16 reviews)

Natural Language Generation

Offers natural language generation services This feature was mentioned in 16 Snowflake reviews.
86%
(Based on 16 reviews)

Artificial Neural Networks

Based on 16 Snowflake reviews. Offers artificial neural networks for users
84%
(Based on 16 reviews)

Computer Vision

As reported in 16 Snowflake reviews. Offers image recognition services
89%
(Based on 16 reviews)

Natural Language Understanding

Offers natural language understanding services 16 reviewers of Snowflake have provided feedback on this feature.
86%
(Based on 16 reviews)

Natural Language Generation

Offers natural language generation services 16 reviewers of Snowflake have provided feedback on this feature.
82%
(Based on 16 reviews)

Deep Learning

As reported in 15 Snowflake reviews. Provides deep learning capabilities
88%
(Based on 15 reviews)

Deployment

Managed Service

As reported in 17 Snowflake reviews. Manages the intelligent application for the user, reducing the need of infrastructure
93%
(Based on 17 reviews)

Application

Allows users to insert machine learning into operating applications This feature was mentioned in 16 Snowflake reviews.
90%
(Based on 16 reviews)

Scalability

Provides easily scaled machine learning applications and infrastructure 16 reviewers of Snowflake have provided feedback on this feature.
95%
(Based on 16 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

Managed Service

As reported in 15 Snowflake reviews. Manages the intelligent application for the user, reducing the need of infrastructure
89%
(Based on 15 reviews)

Application

Allows users to insert machine learning into operating applications This feature was mentioned in 15 Snowflake reviews.
91%
(Based on 15 reviews)

Scalability

Provides easily scaled machine learning applications and infrastructure This feature was mentioned in 15 Snowflake reviews.
90%
(Based on 15 reviews)

On-Premise

Based on 113 Snowflake reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options.
78%
(Based on 113 reviews)

Cloud

Based on 144 Snowflake reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud).
92%
(Based on 144 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

As reported in 88 Snowflake reviews. Collects, stores, and organizes massive, unstructured data in real time
89%
(Based on 88 reviews)

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters 91 reviewers of Snowflake have provided feedback on this feature.
93%
(Based on 91 reviews)

Data Lake

Based on 85 Snowflake reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.
93%
(Based on 85 reviews)

Integrations

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop 67 reviewers of Snowflake have provided feedback on this feature.
88%
(Based on 67 reviews)

Spark Integration

As reported in 72 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop
88%
(Based on 72 reviews)

Platform

Machine Scaling

Based on 82 Snowflake reviews. Facilitates solution to run on and scale to a large number of machines and systems
92%
(Based on 82 reviews)

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model 88 reviewers of Snowflake have provided feedback on this feature.
91%
(Based on 88 reviews)

Spark Integration

Based on 72 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop
88%
(Based on 72 reviews)

Processing

Cloud Processing

Based on 86 Snowflake reviews. Moves big data collection and processing to the cloud
93%
(Based on 86 reviews)

Workload Processing

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems 85 reviewers of Snowflake have provided feedback on this feature.
91%
(Based on 85 reviews)

Data Transformation

Real-Time Analytics

Facilitates analysis of high-volume, real-time data. This feature was mentioned in 73 Snowflake reviews.
93%
(Based on 73 reviews)

Data Querying

As reported in 73 Snowflake reviews. Allows user to query data through query languages like SQL.
93%
(Based on 73 reviews)

Connectivity

Hadoop Integration

As reported in 65 Snowflake reviews. Aligns processing and distribution workflows on top of Apache Hadoop
86%
(Based on 65 reviews)

Spark Integration

Aligns processing and distribution workflows on top of Apache Spark 66 reviewers of Snowflake have provided feedback on this feature.
88%
(Based on 66 reviews)

Multi-Source Analysis

Based on 67 Snowflake reviews. Integrates data from multiple external databases.
91%
(Based on 67 reviews)

Data Lake

As reported in 68 Snowflake reviews. Facilitates the dissemination of collected big data throughout parallel computing clusters.
91%
(Based on 68 reviews)

Operations

Data Visualization

Based on 70 Snowflake reviews. Processes data and represents interpretations in a variety of graphic formats.
85%
(Based on 70 reviews)

Data Workflow

Based on 66 Snowflake reviews. Strings together specific functions and datasets to automate analytics iterations.
92%
(Based on 66 reviews)

Governed Discovery

As reported in 62 Snowflake reviews. Isolates certain datasets and facilitates management of data access.
90%
(Based on 62 reviews)

Embedded Analytics

Based on 67 Snowflake reviews. Allows big data tool to run and record data within external applications.
89%
(Based on 67 reviews)

Notebooks

Based on 64 Snowflake reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations
88%
(Based on 64 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

Based on 69 Snowflake reviews. Stores the database metadata, that is the definitions of data elements, types, relationships etc.
90%
(Based on 69 reviews)

Data Replication

Based on 69 Snowflake reviews. Creates a copy of the database to maintain consistency and integrity.
92%
(Based on 69 reviews)

Query Language

Allows users to create, update and retrieve data in a database. 74 reviewers of Snowflake have provided feedback on this feature.
94%
(Based on 74 reviews)

Data ModelingView full feature definition

See feature definition
Defines the logical design of the data before building the schemas. This feature was mentioned in 72 Snowflake reviews.
88%
(Based on 72 reviews)

Performance Analysis

Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. This feature was mentioned in 73 Snowflake reviews.
91%
(Based on 73 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 This feature was mentioned in 17 Snowflake reviews.
93%
(Based on 17 reviews)

Language Support

Based on 16 Snowflake reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
88%
(Based on 16 reviews)

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models 16 reviewers of Snowflake have provided feedback on this feature.
82%
(Based on 16 reviews)

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 151 Snowflake reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources.
90%
(Based on 151 reviews)

Data Compression

Based on 137 Snowflake reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.
89%
(Based on 137 reviews)

Data Quality

Based on 145 Snowflake reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity.
90%
(Based on 145 reviews)

Built-In Data Analytics

Based on 140 Snowflake reviews and verified by the G2 Product R&D team. SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.
83%
(Based on 140 reviews)

In-Database Machine Learning

Based on 122 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.
83%
(Based on 122 reviews)

Data Lake Analytics

Based on 125 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
88%
(Based on 125 reviews)

Integration

AI/ ML Integration

Based on 112 Snowflake reviews and verified by the G2 Product R&D team. Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
83%
(Based on 112 reviews)

BI Tool Integration

Based on 140 Snowflake reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights.
89%
(Based on 140 reviews)

Data lake Integration

Based on 131 Snowflake reviews and verified by the G2 Product R&D team. Provides speed in data processing and capturing unstructured, semi-structured and streaming data.
90%
(Based on 131 reviews)

Performance

Scalability

Based on 147 Snowflake reviews and verified by the G2 Product R&D team. Manages huge volumes of data, upscale or downscale as per demand.
93%
(Based on 147 reviews)

Maintenance

Data Migration

Allows data movement from one database to another. This feature was mentioned in 71 Snowflake reviews.
93%
(Based on 71 reviews)

Backup and Recovery

Provides data backup and recovery functionality to protect and restore a database. This feature was mentioned in 70 Snowflake reviews.
89%
(Based on 70 reviews)

Multi-User Environment

Based on 71 Snowflake reviews. Allows users to access and work on data concurrently, supporting several views of the data.
93%
(Based on 71 reviews)

Security

Data Encryption

As reported in 71 Snowflake reviews. Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.
92%
(Based on 71 reviews)

User Access Control

Allows restricted user acess to modify depending on the access level. This feature was mentioned in 73 Snowflake reviews.
92%
(Based on 73 reviews)

Data Governance

Based on 137 Snowflake reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data.
89%
(Based on 137 reviews)

Data Security

Based on 148 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
91%
(Based on 148 reviews)

Role-Based Authorization

Based on 41 Snowflake reviews. Provides predefined system roles, privileges, and user-defined roles to users.
91%
(Based on 41 reviews)

Authentication

As reported in 42 Snowflake reviews. Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.
92%
(Based on 42 reviews)

Audit Logs

As reported in 35 Snowflake reviews. Provides an audit log to track access and operations performed on databases for regulatory compliance.
90%
(Based on 35 reviews)

Encryption

Based on 35 Snowflake reviews. Provides encryption capability for all the data at rest using encryption keys.
92%
(Based on 35 reviews)

Storage

Data Model

Based on 41 Snowflake reviews. Stores data tables as columns.
92%
(Based on 41 reviews)

Data Types

As reported in 41 Snowflake reviews. Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.
91%
(Based on 41 reviews)

Availability

Auto Sharding

Based on 36 Snowflake reviews. Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.
91%
(Based on 36 reviews)

Auto Recovery

Restores a database to a correct (consistent) state in the event of a failure. 34 reviewers of Snowflake have provided feedback on this feature.
92%
(Based on 34 reviews)

Data Replication

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. 38 reviewers of Snowflake have provided feedback on this feature.
92%
(Based on 38 reviews)

Performance

Integrated Cache

As reported in 41 Snowflake reviews. Stores frequently-used data in system memory quickly.
92%
(Based on 41 reviews)

Support

Multi-Model

As reported in 33 Snowflake reviews. Provides support to store, index and query data in more than one format.
93%
(Based on 33 reviews)

Operating Systems

Based on 32 Snowflake reviews. Available on multiple operating systems like Linux, Windows, MacOS etc.
91%
(Based on 32 reviews)

Centralized computation

Centralized Computation

Based on 23 Snowflake reviews. Offers a centralize, neutral location for parties to conduct data analysis.
93%
(Based on 23 reviews)

Localized computation

Localized computation

Offers localized computation, where data remains where it resides and is called by API in order to conduct analysis. This feature was mentioned in 22 Snowflake reviews.
90%
(Based on 22 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. 15 reviewers of Snowflake have provided feedback on this feature.
88%
(Based on 15 reviews)

AI Text Summarization

Condenses long documents or text into a brief summary. 15 reviewers of Snowflake have provided feedback on this feature.
87%
(Based on 15 reviews)

AI Text-to-Image

As reported in 15 Snowflake reviews. Provides the ability to generate images from a text prompt.
88%
(Based on 15 reviews)

AI Text Generation

Allows users to generate text based on a text prompt. This feature was mentioned in 52 Snowflake reviews.
85%
(Based on 52 reviews)

AI Text Summarization

Condenses long documents or text into a brief summary. 53 reviewers of Snowflake have provided feedback on this feature.
85%
(Based on 53 reviews)

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data

Agentic AI - AI Chatbots

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data