Neo4j Graph Database Features

Functions when integrated with multiple forms of external applications.

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

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

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

Secures data at rest and in transit from unauthorized access.

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

Allows the creating and relinquishing of database access credentials.

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

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

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

Stores historical records of information for reverting or reference.

Helps users navigate databases by labeling and organizing datasets.

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Restores a database to a correct(consistent) state in the event of a failure.

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

Verifies identity of database users.

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

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

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

Access software remotely via mobile devices

Provides predefined system roles, privileges, and user-defined roles to users.

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Provides encryption capability for all the data at rest using encryption keys.

Helps in improving the availability of data.

Uses machine learning algorithms to gain actionable insights.

Designed to store interconnected data consisting of nodes and edges.

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Allows users to index at ingest and query endlessly across data.

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Powerful query language that allows users to access patterns like traversals, JOINs, search, geospatial etc.

Allows data movement from one database to another.

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

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

Data is backed up automatically to prevent data loss

Transformation of data from one format to another

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

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

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

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

Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Receive data and information in real time

Manage and store data in a database

Helps interpret SQL queries and determine the fastest method of execution

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Allows users to connect business intelligence tools to the database.

Available on multiple operating systems like Linux, Windows, MacOS etc.

Create, design and manage workflows for repetitive tasks

Set up connections to third-party platforms to improve business processes

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Database management based on relationships between data

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Application programming interface that allows for integration with other systems/databases

Connect to big data sources

Search and filter data across systems to locate required information by entering keywords or certain criteria

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Pre-designed layouts that can be customized to match preferences and requirements

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Search for specific words or phrases within a document or database

Retrieve and use data without requiring technical details about the data

Import and export data to and from software applications

Use AI to generate content in the form of text, images, videos, etc.

Assemble applications and processes by dragging over and arranging pre-built components

Customize data fields to support various needs and use cases

Verify the identity of users/devices to enable secure access

Graphical representation of data

Securely stores data to prevent data loss or breaches

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track the management and flow of data throughout the organization

Run stored procedures and queries in multiple programming languages, such as JSON, Java, Python, Ruby, Perl, and SQL

Import, collect, and capture data from multiple sources

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Database management based on customization, fluidity, and document relations

Define levels of authorization for access to specific files or systems

Track and manage schedules and meetings via an integrated calendar

Active monitoring of systems, applications, or networks

Store and organize documents in a centralized system

Plan, schedule, and execute organization's accounts and assets to ensure compliance with policies and laws

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.