Palantir Foundry Features

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Series of data points indexed in time order

Review data from past periods to reveal recurring tendencies and predict future performance

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Alter the layout and content of reports

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

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

Allows users to manage data from a number of sources

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

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

Define levels of authorization for access to specific files or systems

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

Establish guidelines about how much and what kind of data can be stored in the repository

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Provides a channel for team members to share media files, communicate, and work together

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

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

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

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

Connect to big data sources

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

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

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

Data compression technique for eliminating duplicate copies of repeating data

Graphical representation of data or processes

Import, collect, and capture data from multiple sources

Import and export data to and from software applications

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

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

Track and document all activities across devices, networks, and other systems

Graphical representation of data

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

Track revisions and updates made to files and navigate between different versions

Alter the layout and content of reports

Provides a channel for team members to share media files, communicate, and work together

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

Manage and store data in a database

Generate one-off reports that meet information requirements

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

Predict future data based on historical data sets

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

Define levels of authorization for access to specific files or systems

Interact with data visualization elements, such as charts and graphs, to drill down into data

Track the management and flow of data throughout the organization

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

Apply statistical/mathematical models to sets of data

Organize and group data or items based on various criteria

Review data from past periods to reveal recurring tendencies and predict future performance

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Graphical representation of data

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

Allows users to manage data from a number of sources

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

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

Import and export data to and from software applications

Import, collect, and capture data from multiple sources

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

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

Connect to big data sources

Transforming unstructured text into a structured format to identify meaningful patterns and new insights

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

Analyzing historical and current data and generating a model to help predict future outcomes.

Analyze and gain insights into data in real-time

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Track status, assign actions, and control access to systems for devices within the organization

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

Track and document all activities across devices, networks, and other systems

Protect sensitive data for digital privacy

Create, design and manage workflows for repetitive tasks

Forecast customer demand using historical insights and simulations

Software program that continuously adjusts its behavior based on observed data

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

Software designed for the healthcare industry

Form predictions based on past and present data/trends

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

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

Tools that provide relevant information at specific times to support judgments and courses of action

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

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

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

Allows users to manage data from a number of sources

For Retail Stores

Used for educational purposes

Discover and connect variety of data sources to the application for analysis

Create, design and modify the flow and processes of tasks in a project

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Define and maintain business rules that determine workflow capabilities and criteria

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

Process and analyze human language in text or audio form

Translate EDI formats into data suitable for use with company applications.

Clustering or grouping objects based on data similarities

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

Merge data from multiple sources to a single data set

Grouping log entries based on similar attributes.

Create, design and manage workflows for repetitive tasks

Streamlining repetitive tasks and activities through automated and predefined workflows

Receive system updates as soon as any changes are made

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

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

Data vault where data is aggregated for later distribution to applications.

Import and export data to and from software applications

Process of extracting, transforming, and loading data

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

Graphical representation of data

Define levels of authorization for access to specific files or systems

Supports common databases such as MySQL and Oracle

System alerts about the need to escalate an issue or request

A chronological record of actions or occurrences within a network, software, or process

Assembly of graphs and charts for visualizing and tracking statistics/metrics

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

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

An extended application or connector that enables users to perform additional services with their current set of tools

Active reporting of data and metrics

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

Allows users to manage data from a number of sources

Track and document all activities across devices, networks, and other systems

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

Automatically create schedules based on business needs or employee availability and qualifications

Configure existing workflows to meet your organization's needs

Assemble data from multiple sources

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

Access software remotely via mobile devices

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

Allows the integration of data between different web services

Analyze and gain insights into data in real-time

Send messages via SMS

Accept and process customer payments for products or services using hardware and software

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Creation and customization of dashboards

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

Software program that continuously adjusts its behavior based on observed data

Establish guidelines about how much and what kind of data can be stored in the repository

Built-in accounting to manage ledger, accounts payable/receivable, financial reports, etc.

Generate one-off reports that meet information requirements

Analyze survey results via statistical testing or crosstabs directly within the software

Software program that continuously adjusts its behavior based on observed data

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

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

Track the management and flow of data throughout the organization

Process of extracting, transforming, and loading data

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Establish guidelines about how much and what kind of data can be stored in the repository

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

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

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

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

Rules and regulations inherited from source systems or defined to secure sensitive data

Grant or restrict data access and control

Built - In Backup and Disaster Recovery

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Helps mask or hide critical information to prevent unauthorized access.

Employs data encryption both at rest and in transit.

Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.

Supports secure communication protocols like FTPS, SFTP etc

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

Supports advanced analytics solutions for better business decision making

Gives user ability to import a variety of data sources for immediate use

Receive data and information in real time

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

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

Allows users to generate text based on a text prompt.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Consolidate data from various disparate sources in a single unified view

Understand the state of data, applications, systems and services

Manage data across environments (on-premises cloud, hybrid, and multi-cloud)

Provides metadata management and lineage capabilities

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Supports common databases such as MySQL and Oracle

Manage and support multiple languages

Transforms raw data into features that better represent the underlying problem to the predictive models

Permits profiling of data sets for increased organization, both by users and machine learning

Indexes metadata descriptions for easier searching and enhanced insights

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

Allows users and administrators to easily clean data to maintain quality and integrity

Offers collaborative functionality for sharing queries and data sets

Ensures user access management, data lineage, and data encryption

Supports deployment of integration apps both on-premisis and cloud environments/

Supports deployment of integration apps to a managed cloud environment

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Matches master data records and merges them into a single accurate record across source systems.

Shows relationships between records and entries, defined in a repository model.

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Track the management and flow of data throughout the organization

Integrates data from disparate sources, without physical data movement

Provides one or more methods to securely transfer data from one location to another through a network

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

Provides Integrations to EDI service providers.

Receive data and information in real time

Import, collect, and capture data from multiple sources

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Supports event or transaction based integrations that react to changes in real-time

Provides a web-based interface for designing, documenting, and testing APIs.

Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Provides prebuilt, reusable connectors and workflows for all user integration requirements.

Enables multiple tenants (customers) to securely share physical computing resources.

Connect to big data sources

Integrates with QuickBooks

Integrates with Active Directory

Integrating data specifically through the cloud

Integrate with existing ERP systems

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

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Integrate with a third-party accounting system

Seamlessly integrates with 3rd party websites

Console for monitoring resource utilization, system health, ability to start and stop processes, etc.

Enables data routing on configuration basis and management of complex workflows through an orchestration engine.

Facilitates to and fro data map according to the data model between applications/web services.

Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system.

Supports and oversees the management of API products across their full lifecycle

Ability to handle large datasets

Store, manage, and track all electronic documents in a centralized location

Create, design and manage workflows for repetitive tasks

Track, manage and store the applications of potential future members, customers or candidates

Manage, record and track all business exchanges in form of money and its related interactions in the system

Collect and maintain structured information that describes data or content

Identify which applications need to exchange data and enable these data connections

Manage and store data in a database

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

Manage employee salary processes, data, taxes, and records administration efficiently

Manage, store and organize emails within the system or via third-party apps

Identify which applications need to exchange data and enable these data connections

Managing service requests, incidents, IT issues & support with a ticketing system

Automates core HR functions such as talent management, employee evaluation and learning management

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

Managing activities & processes related to planning, coordination, implementation, control, and evaluation of sales performance.

Active monitoring of systems, applications, or networks

Notifications that are delivered to users as soon as an event occurs

Captures and manages data hierarchy and definitions.

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Helps understand the origination and route of data along with the transformations happening across various domains.

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

Receive data and information in real time

Create, design and manage workflows for repetitive tasks

Create and manage digital catalog of products/services with their details, specifications, and price

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

Manage inventory, communication, marketing, orders & more across warehouses, stores and online channels

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Operationalizes data workflows to easily scale repeatable preparation needs

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources