ScyllaDB 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.

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

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.

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.

Functionality that provides encryption without the loss information between the related data items.

Helps in improving the availability of data.

Uses machine learning algorithms to gain actionable insights.

Stores data as key-value pairs where key is a unique identifier.

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

Stores frequently-used data in system memory quickly.

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

Supports various types of data like String, Boolean and integer

Aids in supporting multiple models of database

Helps store and represent data models created by object-oriented programming language

Functionality provided to store data in column families

Manage and store data in a database

Securely stores data to prevent data loss or breaches

Stores data across multiple servers.

Feature that aids in data partitioning resulting into scaling of data

Type of non-relational database that helps store, query, record and manage data in JSON formats

Type of database management system (DBMS) to store and organize data in the form of columns

A system that allows access to a database structure without relying on an external program

Type of NoSQL database to store and organize data in the form of graphs

Database using key-value methods to store data

Makes informed choices based on available data and objectives

Transformation of data from one format to another

Observe and track the demand, usage, progress or quality of a system, product, or user

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

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

View and track pertinent metrics to find patterns and gain insights from data

Data is backed up automatically to prevent data loss

Active monitoring of systems, applications, or networks

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

Graphical representation of data

Generate one-off reports that meet information requirements

Track and manage adherence to policies for any service, product, process, or supplier

Compile and organize data into specific metrics

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

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Allows developers to check if their applications/web browsers are running as expected.

Import, collect, and capture data from multiple sources

Systematic evaluation of the security of a company's overall security system and situation

Define levels of authorization for access to specific files or systems

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Track the management and flow of data throughout the organization

Search and find data in a structured format

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

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

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

Identify component attributes like servers, hardware, software, and manage relationships across all services

A record of all activities within the system, including user access, changes made, etc.

Specific for use in NoSQL Databases

Import and export data to and from software applications

Move from one database to another, or upgrade the version of database software being used

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

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

Compatible with serverless backends

Allows users to manage data from a number of sources