Unravel Data Features

Allows users to schedule instances, changes or other operational tasks in advance.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Allows users to track and control cloud spend across cloud services and providers.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Ability to project spend based on contracts, usage trends, and predicted growth.

Provides use-specific recommendations regarding performance and resource utilization.

Provides ability to track and/or map spending on all cloud spend across departments with little to no manual entry.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Helps companies ensure they meet their industry-specific compliance needs for data management and privacy standards.

Monitors database functionality to verify baselines are maintained or exceeded.

Sends alerts via email, text, phone, and more when an incident or issue occcurs.

Captures logs for all database functions to garner greater information around issues or failures.

Monitors database query time for unusual execution times

Manually and/or automatically generates reports covering database performance

Follows database monitoring live information through graphical dashboards

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.

Monitors and test apps to address issues before they affect end users.

Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Generate real-time depth analytics utilizing event metrics, logging and metadata.

Use custom or pre-built tests for buisness rules. to ensure data quality.

Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.

Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

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.

Identify the different type of anomalies and receive alerts.

The data observability environment can be viewed from a single dashboard.

Provides immediate alerts for any anomalies or expected events.

Establishes lineage for the data pipeline - from data warehouse to the data user.

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

Assess the existing physical and virtual servers and compile it

Evaluate cost savings with TCO analysis

Allows mapping with on-premises applications and identify dependencies

Provides high-frequency metrics data.

Integrates data and data-related technologies into a single environment.

Provides metadata management capabilities.

Empowers the user via a self-service capability to manage data workflows.

Completely automates end-to-end data workflows across the data integration lifecycle.

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Collect and displays metrics across the data integration via a dashboard.

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments.

Allows users to generate text based on a text prompt.

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

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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

Improves performance based on feedback and experience

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

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

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

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

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives