Rubrik Features

The ability to store information from filesystems.

The ability to backup data from relational and NoSQL databases.

Support for secure virtualized tape or disk storage.

Support for various backup storage and operational processes. Examples include system imaging, incremental backup, or differential backup.

The abillity to automate backups or have backup storage updated continuously.

Delegate backup settings to facilitate specific recovery in the result of a disaster.

The ability to store large amounts of data or scale capacity to fit storage needs.

Provides remote access dashboards designed to manage and store data from familiar applications.

Actively monitor status of work stations either on-premise or remote.

Provide cost management insights and analytics regarding cloud usage.

Manage vulnerability, access, and protection for multiple clouds.

Manually or automatically manage cloud resource usage and scaling.

Back up cloud resources, and offer recovery capabilities for outages and crashes.

Track data and system backups, replication, and failover events.

Integrate with other management, resilience, or backup solutions

Be compatible with a variety of cloud and/or virtual infrastructure.

Monitor replication environment via GUI

The ability to set standards for asset and risk management.

Provides high quality and wide scope of in-cloud and offline data security capabilities.

Deduplication, creating synthetic backup files, to reduce file size and eliminate redundant files.

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

Unveils data connected to infrastructure and applications used to help manage and maintain compliance within complex IT systems.

Supports LDAP Protocol to enable access control and governance.

Protects sensitive data by disguising or encrypting data, keeping it usable by the organization and approved parties.

Manages policies for user data access and data encryption.

Stores data securely either on premise or in an adjacent cloud database to prevent loss of data at rest.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

Monitors data quality and send alerts based on violations or misuse.

Allows for reporting and documentation of individual user behavior and privileges.

Consolidate viewing and management of multiple clouds in one solution.

Provide cloud orchestration for setup, configuration, and management.

Optimize cloud performance and integration with disparate systems.

Provide as-before failover capabilities for cloud environments.

Services are offered under a pay-as-you-go or utilization-based purchase model.

Offer disaster recovery capabilities as a third-party provider.

How satisfied are you with this app/integration in the ServiceNow ecosystem?

How valuable is it to be able to use this product with ServiceNow?

Consolidates, Cleanses and Normalizes data from multiple disparate sources.

Helps save storage capacity and improves query performance.

Eliminates data inconsistency and duplications ensuring data integrity.

SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.

Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.

Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS

Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.

Integrates with BI Tools to transform data into Actionable Insights.

Provides speed in data processing and capturing unstructured, semi-structured and streaming data.

Provides On-Premise deployment options.

Provides Cloud deployment options (private or public cloud, hybrid cloud).

Manages huge volumes of data, upscale or downscale as per demand.

Policies, procedures and standards to manage and access data.

Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Provide real‑time visibility into data exposures and activities.

Automatically scan across cloud, SaaS, on‑prem environments to locate and tag sensitive data.

Allow business‑specific or regulatory data labels beyond default frameworks.

Identify over‑permissioned users, roles, or accounts in combination with misconfigurations.

Assess data risks against regulatory frameworks and internal policies.

Prioritize findings based on data sensitivity, exploitability, and business impact.

Provide context‑aware recommendations for fixing exposures (e.g., revoke access, encrypt, misconfiguration remediation).

Integrate with CSPM, CIEM, SOAR, SIEM for automated policy enforcement.

Monitor posture over time and track remediation efforts.