[
SAP HAN... Reviews
](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

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SAP HAN... Reviews
](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

# SAP HANA Cloud Features

##### 
## Reports (8)

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Share Reports

Receive email reports and notifications regarding metrics.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

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##### 
## Database Features (7)

Storage

Availability

Stability

Scalability

Security

Data Manipulation

Query Language

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##### 
## Statistical Tool (3)

Scripting

Supports a variety of scripting environments

Data Mining

Mines data from databases and prepares data for analysis

Algorithms

Applies statistical algorithms to selected data

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##### 
## Data Analysis (2)

Analysis

Analyzes both structured and unstructured data

Data Interaction

Interacts with data to prepare it for visualizations and models

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##### 
## Decision Making (4)

Modeling

Offers modeling capabilities

Data Visualizations

Creates data visualizations or graphs

Report Generation

Generates reports of data performance

Data Unification

Unifies information on a singular platform

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##### 
## Data Updates (5)

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

Email Reports

Receive email reports and notifications regarding metric.

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

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##### 
## Configuration (5)

Application Performance

Functions when integrated with multiple forms of external applications.

Orchestration

Allows admisistrators to manage and organize storage, networks, and datacenters.

Database Monitoring

Monitors performance and statistics related to memory, caches and connections.

Anomaly Detection

Alerts users when unauthorized parties or malware is detected allowing administrators to remedy the issue.

Network Security

Secures data at rest and in transit from unauthorized access.

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##### 
## Database Administration (3)

Provisioning

Allows administrators to organize components of the database to maintain instance efficiency.

Governance

Allows the creating and relinquishing of database access credentials.

Auditing

Documents access and alterations of the database for analytics and reporting.

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##### 
## Availability (4)

Scalability

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Backup

The abillity to restore files to its original loacation or alternative sources on-demand.

Archiving

Stores historical records of information for reverting or reference.

Indexing

Helps users navigate databases by labeling and organizing datasets.

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##### 
## Model Development (5)

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models

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##### 
## Machine/Deep Learning Services (6)

Computer Vision

Offers image recognition services

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Artificial Neural Networks

Offers artificial neural networks for users

Natural Language Understanding

Offers natural language understanding services

Deep Learning

Provides deep learning capabilities

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##### 
## Deployment (13)

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

Language Flexibility

Allows users to input models built in a variety of languages.

Framework Flexibility

Allows users to choose the framework or workbench of their preference.

Versioning

Records versioning as models are iterated upon.

Ease of Deployment

Provides a way to quickly and efficiently deploy machine learning models.

Scalability

Offers a way to scale the use of machine learning models across an enterprise.

Language Flexibility

Allows users to input models built in a variety of languages.

Framework Flexibility

Allows users to choose the framework or workbench of their preference.

Versioning

Records versioning as models are iterated upon.

Ease of Deployment

Provides a way to quickly and efficiently deploy machine learning models.

Scalability

Offers a way to scale the use of machine learning models across an enterprise.

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##### 
## Cartography (4)

Map Design

Ability to create a map from different perspectives and with varying geographic features.

Vector Mapping

Create a map made up of points and lines that may have additional information assigned to them.

Data Visualization

Ability to translate data and metrics into charts, graphs, and other ways to communication information.

Overlaying

Visualize different forms of data in one single image.

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##### 
## Analysis (11)

Predictive Analysis

Make informed decisions and predict patterns based on data.

Distance Analysis

Select a point on the map and display data within a certain radius.

Spatial Analysis

Use data to gather information about a specific location's geographic features.

Data Stream

Study data in live time to analyze any changes happening in the location.

Automation

Automates back-end technical manual processes.

Named entity recognition

Identifies entities such as organization, person name, location, etc

Keyphrase Extraction

Extracts keyphrases to determine patterns and themes within text.

Topic Analysis

Automatically identifies and organizes text based on topic or subject matter.

Sentiment Analysis

Utilizes sentiment analysis to capture user feedback.

Language Identification

Identifies the language in which text was written in.

Syntax/Part of Speech Parsing

Provides the ability to identify syntax and parts of speech.

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##### 
## Reporting (3)

Data Transformation

The ability to convert the format of source data to one required for the reporting system.

WYSIWYG Design

Easily design and refine dashboards and reports.

API Integrations

Integrating APIs that allow you to customize your tool as needed.

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##### 
## Administration (3)

Database Management

Supports for managing different types of databases and integration methods.

Access Control

Gives admistrators control over data-related privilages and accessability

Data Security

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

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##### 
## Federation (4)

Architecture

Creates integrations and allows management of connected contains.

Provisioning

Allows administrators to organize components of the database to maintain instance efficiency.

Orchestration

Allows admisistrators to manage and organize storage, networks, and datacenters.

API / Integrations

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

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##### 
## Transformation (3)

Data Visualization

Processes data and represents interpretations in a variety of graphic formats.

Application Performance

Functions when integrated with multiple forms of external applications.

Data Modeling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately.

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##### 
## Management (12)

Cataloging

Records and organizes all machine learning models that have been deployed across the business.

Monitoring

Tracks the performance and accuracy of machine learning models.

Governing

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Model Registry

Allows users to manage model artifacts and tracks which models are deployed in production.

Data dictionary

Stores the database metadata, that is the definitions of data elements, types, relationships etc.

Data Replication

Creates a copy of the database to maintain consistency and integrity.

Query Language

Allows users to create, update and retrieve data in a database.

Data Modeling

Defines the logical design of the data before building the schemas.

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.

Cataloging

Records and organizes all machine learning models that have been deployed across the business.

Monitoring

Tracks the performance and accuracy of machine learning models.

Governing

Provisions users based on authorization to both deploy and iterate upon machine learning models.

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##### 
## System (1)

Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

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##### 
## Security (9)

Data Masking

Data masking provides an additional layer of access control that can be applied to tables and views.

Authentication And Single Sign-On

Verifies identity of database users.

Data Anonymization

Allows users to gain statistically valid insights from their data while protecting the privacy of individuals.

Data Encryption

Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.

User Access Control

Allows restricted user acess to modify depending on the access level.

Database Locking

Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.

Access Control

Allows permissions to be granted or revoked in the database, schema or table levels.

Encryption

Built-in native encryption with enterprise key management.

Authentication

Provides multi-factor authentication with certificates.

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##### 
## Data Management (2)

Data Replication

Helps in improving the availability of data.

Advanced Data Analytics

Uses machine learning algorithms to gain actionable insights.

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##### 
## Maintenance (3)

Data Migration

Allows data movement from one database to another.

Backup and Recovery

Provides data backup and recovery functionality to protect and restore a database.

Multi-User Environment

Allows users to access and work on data concurrently, supporting several views of the data.

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##### 
## Support (3)

Text Search

Provides support for international character sets and full text search.

Data Types

Supports multiple data types like primitive, structured, document etc.

Languages

Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.

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##### 
## Performance (4)

Disaster Recovery

Provides data recovery functionality to protect and restore data in a database.

Data Concurrency

Allows multi-version concurrency control.

Workload Management

Handles workloads, from single machines to data warehouses or web services with many concurrent users.

Advanced Indexing

Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.

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##### 
## Management (4)

Data Schema

Data is organized as a set of tables with columns and rows like a table structure.

Query Language

Allows users to create, update and retrieve data in a database.

ACID - Complaint

Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.

Data Replication

Provides log-based or/and trigger-based replication.

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##### 
## Operations (3)

Metrics

Control model usage and performance in production

Infrastructure management

Deploy mission-critical ML applications where and when you need them

Collaboration

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

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##### 
## Visualization (4)

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

Formats

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

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##### 
## Collaboration (3)

Sharing

Provides the ability to easily share visualizations.

Co-Editing

Allows multiple users to edit and create visualizations together.

Devices

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

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##### 
## Setup (3)

Integration

Provides the ability to import data from a variety of sources and in multiple data formats.

Maintenance

Consistently maintains, updates, and tests data sources to ensure quality.

No-Code

Allows users to analyze data easily without the need to code.

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##### 
## Data (2)

Security

Ensures privacy and security of customer data.

Data Visualization

Visualizes text data through charts and graphs.

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##### 
## Customization (3)

Pre-Built Parameterization

Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.

Custom Extension

Allow user to add custom functions to Analysis capabilities

Compositionality

User created models can be used as features/pre-built in other models

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##### 
## Generative AI (11)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text-to-Image

Provides the ability to generate images from a text prompt.

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##### 
## Integration - Machine Learning (1)

Integration

Supports integration with multiple data sources for seamless data input.

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##### 
## Learning - Machine Learning (3)

Training Data

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Actionable Insights

Generates actionable insights by applying learned patterns to key issues.

Algorithm

Continuously improves and adapts to new data using specified algorithms.

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##### 
## Agentic AI - Data Science and Machine Learning Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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## Technology Glossary Features

View full feature definition

View definitions of the features and discover new technology terms.

[View Glossary](/glossary)

[Data Manipulation](/glossary/data-manipulation-definition)

Data manipulation is the process of organizing, modifying, and transforming data to improve accuracy, usability, and analysis across systems and workflows.

[Dashboard](/glossary/dashboard-definition)

What is a dashboard and why is it important as a software feature? Our G2 guide can help you understand dashboards and learn more about its types, benefits, and best practices.

[Data Modeling](/glossary/data-modeling-definition)

Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.

SAP HANA Cloud Comparisons

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