Prefect Features

Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop

Facilitates solution to run on and scale to a large number of machines and systems

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Aligns processing and distribution workflows on top of Apache Hadoop

Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

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

Provides additional AI analytics to drive insights.

Provides Administration tools/console that are easy to use and learn for routine maintenance tasks

Creates new or streamlines existing workflows to better handle IT support tickets and service.

Utilizes data to proactively identify and prioritize IT issues.

Supports trust actions( recommend, manual or automated) to take a decision.

Software is able to alert the user immediately in case of a fault in the processing line.

Provides operational access to job scheduling on a 24/7 basis. This gives IT users a flexible point of access to control workloads.

Automates IT related to the running of batch Jobs.

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.

Provides true integration with multi vendor tools to ensure business continuity.

Schedule and run batch processes.

Add, modify, and remove batch processes.

Manage batches for multiple languages and operating systems.

Generate reports regarding batch process results.

Grow or shrink batch management capabilities according to need.

Automate batch scheduling, runs, and additions.

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.

Condenses long documents or text into a brief summary.

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

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