Databricks Features

Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Alter the layout and content of reports

Reports specific to marketing and associated campaigns

Reports specific to sales analysis for trends and strategies

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

Edit and personalize data view as needed

Alter the layout and content of reports

Alter the layout and content of reports

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

Alter the layout and content of dashboards

Reports interface for standard and self-service reports is intuitive and easy to use.

Receive email reports and notifications regarding metrics.

Requires a minimal number of steps/clicks to answer business question.

Using formulas based on existing data elements, users can create and calculate new field values.

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights.

Ability to search global data set to find and discover data.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Tool automatically suggests data types, schemas and hierarchies.

Ability to interact with the application using human languages such as English

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Merge data from multiple sources to a single data set

Merge data from multiple sources to a single data set

Analyze current and historical trends to make predictions about future events.

Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets.

Analyze and gain insights into data in real-time

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

Analyze and gain insights into data in real-time

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

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

Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Receive data and information in real time

Receive data and information in real time

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

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

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Set a time to generate routine reports automatically

Alter the layout and content of reports

Predict future data based on historical data sets

Ability to handle large datasets

Receive data and information in real time

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

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.

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

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

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

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

Provides On-Premise deployment options.

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

Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference.

Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models.

Offers a way to scale the use of machine learning models across an enterprise.

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

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

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

Predict future data based on historical data sets

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

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Receive data and information in real time

Import, collect, and capture data from multiple sources

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

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

Merge data from multiple sources to a single data set

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

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Isolates certain datasets and facilitates management of data access.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

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

Control model usage and performance in production

Deploy mission-critical ML applications where and when you need them

Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations.

Tools to create and adjust workflows to ensure consistency.

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

Configure existing workflows to meet your organization's needs

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

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

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Active monitoring of systems, applications, or networks

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

Facilitates the disseminating of collected big data throughout parallel computing clusters

Compile data from across all systems so that users can view relevant information easily.

View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs.

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Allows users to manage model artifacts and tracks which models are deployed in production.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Graphical representation of data

Records and organizes all machine learning models that have been deployed across the business.

Tracks the performance and accuracy of machine learning models.

Provisions users based on authorization to both deploy and iterate upon machine learning models.

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume.

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

Facilitates simpler user experience through syntax highlighting, shortcuts, completion aid automation, etc.

Manage individual software component files as a part of the greater overall project.

Provides the ability to write in more than one programming language.

Allows users to modify interface (e.g., theme selection) and layout by personal preference.

Performs core functionalities without the need of immediate additional feature or add-on installations.

Supplies users with basic-to-intermediate guides regarding IDE functionality and use cases.

Downloads and installs updates automatically for product improvement and pace-keeping with programming language evolution.

Create, design and manage workflows for repetitive tasks

Track and monitor efficient handling of all changes/transitions

Manage the processes involved when making the application ready for use

Organize and manage the accomplishments and development of employees or performance of applications or systems

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

Manage the end-to-end lifecycle, from initial setup/development to deployment and maintenance

Create, manage and track all task activities and progression

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

Supports common databases such as MySQL and Oracle

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

Receive data and information in real time

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset.

Import, collect, and capture data from multiple sources

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.

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

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

Helps adhere to data privacy regulations and norms.

Define levels of authorization for access to specific files or systems

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

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

Collect and maintain structured information that describes data or content

Helps in improving the availability of data.

Uses machine learning algorithms to gain actionable insights.

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

Process of extracting and moving data from multiple sources to a single and unified database

Import, collect, and capture data from multiple sources

Analyze and gain insights into data in real-time

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

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.

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

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization.

Manage and store data in a database

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

View and present dashboard on mobile devices

Publish dashboard publicly on various platforms

Share dashboard screen within private user groups

Provides the ability to easily share visualizations.

Allows multiple users to edit and create visualizations together.

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

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.

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.

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.

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.

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.

Condenses long documents or text into a brief summary.

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.

Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.

Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective.

Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.

Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.

Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.

Allows the user to set up access controls based on roles within the organization, enhancing security.

Ensures that data is encrypted during transit and at rest, providing an additional layer of security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.

Supports configuration using natural language instructions.

Allows users to customize the tone of agent.

Enables definition of clear security guardrails for agent actions.

Protect APIs from threats using authentication, access control and encryption

Protect sensitive data for digital privacy

Verify the identity of users/devices to enable secure access

Provides support across web, mobile, messaging apps, and other channels.

Allows customization of agent branding, including visual appearance and conversational style.

Equips agents with proactive response capabilities based on predefined triggers.

Facilitates seamless escalation to human employees for complex issues.

Supports various file formats

Processing different types of input like text, voice, images etc.

Provides analytics and reporting on agent performance and interactions.

Offers agents the ability to maintain contextual awareness across interactions.

Ensures compliance with data privacy and governance requirements.

Automates workflows and actions based on agent responses.

Allows the use of APIs for advanced agent configuration.

Enables interoperability with multiple platforms for unified experiences.

Allows integration with CRM data to ground agent responses in business context.

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

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

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

Integrates with Active Directory

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

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

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

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Allows users to manage data from a number of sources

Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports common databases such as MySQL and Oracle

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

One-off queries made on an as-needed basis

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

Enforces strict request and token quotas per user, tenant, or application to prevent system overloads and manage API budget limits.

Caches responses for identical or semantically similar prompts to significantly reduce API latency and eliminate redundant token costs.

Routes API requests to various LLM providers via a single unified API and automatically fails over to backup models if downtime occurs.

Intercepts traffic to detect and mask Personally Identifiable Information (PII) or block malicious prompt injections before the request reaches the external model.

Provides granular dashboards to monitor token consumption and calculate exact monetary costs broken down by application, team, or specific model.

Securely vaults and manages external LLM API keys within the gateway so developers do not need to hardcode credentials into their applications.

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

Securely stores data to prevent data loss or breaches

Import and export data to and from software applications

Add customized logos and colors to align with company branding

Creation and customization of dashboards

Define levels of authorization for access to specific files or systems

Active reporting of data and metrics

Collect and maintain structured information that describes data or content

Form predictions based on past and present data/trends

Manage and store data in a database

Generate one-off reports that meet information requirements

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

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

Access, combine, transform, and store data without the help of an IT department

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

Track the management and flow of data throughout the organization

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

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

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

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

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

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

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

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

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

Ability to present data insights in the form of a story to the audience

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

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

Financing arranged by the dealership

Generate reports on your own without IT involvement

Tracking the status of previously identified performance measurements

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

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

Combining data from different sources and providing a unified view

Visual representation of performance data, enabling users to monitor progress, identify trends, and make data-driven decisions

Ability to handle large datasets

Create, manage and track all task activities and progression

Reporting on how each user, task or process has advanced since its initiation

Connect to big data sources

Graphical representation of data

Evaluate the degree to which business operations bring monetary gains

Monitor the progress of projects from start to finish

At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them

Establish measurable goals and objectives and track their progress over a specific period of time

Share pre-configured sets of data organized and presented in a specific manner with the organization

Predict future data based on historical data sets

Active monitoring of systems, applications, or networks

Sample files or documents that could be customized as needed or used as is

Access software remotely via mobile devices

Pre-designed layouts that can be customized to match preferences and requirements

Create, design and manage workflows for repetitive tasks

Generate reports to assess the financial performance of an organization

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

Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data

Allow users to access multiple services after entering their login credentials once

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

A process to automatically integrate code changes from multiple contributors into a shared repository

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

Create backups and provide methods to recover deleted/lost data

Run stored procedures and queries in multiple programming languages, such as JSON, Java, Python, Ruby, Perl, and SQL

A process to automatically release code changes from repository to production environment

Create code from scratch

Build applications without the use of code

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

Configure existing workflows to meet your organization's needs

A visual way of interacting with an application or operating system using items such as windows, icons, and menus

Development environment used to create application software through a graphical user interface

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

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

A functional sample, model, or release of a user interface built to test a concept or process.

Tracks every modification made to source code

Development of software programs

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

Import and export data to and from software applications

Development of applications that are delivered over the internet through a browser

Development of custom software, web apps, mobile apps, etc.

Connect to code repositories (e.g., Git or SVN) to import a project or automate the scanning of source code

Protect sensitive data for digital privacy

Development of applications for mobile devices

Define levels of authorization for access to specific files or systems

Develop games using code or no-code platforms

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

Identify and respond to security threats to developed applications

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

Execution of software tests by leveraging automation tools

An application for source code editing, compiling, and debugging

Ability of websites, web applications, or mobile applications to function without an active internet connection

Detect and remove errors

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

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

Preview how the app will display on multiple device types and operating systems

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

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

Conceptual model of how data items relate to each other

Add customized logos and colors to align with company branding

Graphical representation of data

Edit code that has been previously created for product development.

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

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

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

Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes

Import, collect, and capture data from multiple sources

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

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

Allow users to access multiple services after entering their login credentials once

Alter the layout and content of reports

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

Verify the identity of users/devices to enable secure access

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

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

Securely stores data to prevent data loss or breaches

Protect sensitive data for digital privacy

Compliant with HIPAA, which sets standards for sensitive patient data protection

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

Initiate collection and analysis of known risks

Track the management and flow of data throughout the organization

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

Online portal through which end users can access the system, manage tasks, or obtain information

Allows users to manage data from a number of sources

Store and organize documents in a centralized system

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

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

Data is backed up automatically to prevent data loss

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

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

Running multiple processors to handle separate parts of an overall task and manage complex tasks/computations.

Allows users to manage data from a number of sources

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

Blending and analysis of large data sets without moving data out of a database.

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

Active reporting of data and metrics

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

Active monitoring of systems, applications, or networks

Connect to big data sources

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

Generate one-off reports that meet information requirements

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

Define levels of authorization for access to specific files or systems

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

Graphical representation of data

Import and export data to and from software applications

Looking at data from different sources and finding possible duplicates, or identical matches

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

Securely stores data to prevent data loss or breaches

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

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

Alter the layout and content of reports

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

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

Track the management and flow of data throughout the organization

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

Manage a growing amount of work to meet increased demand without compromising performance

Adjust communications based on previous interactions or personal preferences

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

Event-driven HTTP callback that automatically sends real-time data between applications

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

Process and analyze human language in text or audio form

Automatically switching to secondary AI model(s) during failure or hallucinations

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

Ability to interact with various large language models, such as GPT-4, Claude 3, Gemini, Llama 3, and more

Chatbot or AI assistant that answers queries and provides recommendations within an application

Execution of software tests by leveraging automation tools

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

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

Pre-defined templates within a library for common cases such as contracts, websites, emails, and more

Designing how agent will communicate, take decisions and behave in different scenarios via flowcharts, scripts, or visual editors

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Process of testing an ML algorithm by feeding it training data to learn from

Tools for the systematic analysis of various types of data or statistics

Allow users to access multiple services after entering their login credentials once

Detect and remove errors

Manage the processes involved when making the application ready for use

Managing and resolving errors that occur during program execution to maintain stability

Central repositories of integrated data from various sources

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

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

Connect to big data sources

Generate one-off reports that meet information requirements

Alter the layout and content of reports

System alerts about the need to escalate an issue or request

Sample files or documents that could be customized as needed or used as is

Form predictions based on past and present data/trends

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

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

Define levels of authorization for access to specific files or systems

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

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

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

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

Creation and customization of dashboards

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

Protect sensitive data for digital privacy

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

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

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

Process and analyze large volume of data

Supports common databases such as MySQL and Oracle

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

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

Tracking the status of previously identified performance measurements

Securely stores data to prevent data loss or breaches

Allows users to manage data from a number of sources

Graphical representation of data

Allow users to access multiple services after entering their login credentials once

Ability to interact with the application using human languages such as English

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

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

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

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

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

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

Generate one-off reports that meet information requirements

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

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

Add customized logos and colors to align with company branding

Collect, process and structure data from multiple sources for further analysis

Creation and customization of dashboards

Connect to big data sources

Pre-designed layouts that can be customized to match preferences and requirements

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

Form predictions based on past and present data/trends

Various components within a system including buttons, clickable icons, hover effects, and more

Display aggregated data points on one page for a bird's eye view assessment

Import and export data to and from software applications

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

Define levels of authorization for access to specific files or systems

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

Create, design and manage workflows for repetitive tasks

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

Perform various mathematical calculations using the data

Information, data and reports that are being tracked over time

Import, collect, and capture data from multiple sources

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Receive system updates as soon as any changes are made

Active reporting of data and metrics

Track the management and flow of data throughout the organization

Relationship diagram view that arranges items in data based on the relationships between them in a freeform graph.

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

Online Analytical Processing technology for performing high-speed complex queries or multidimensional analysis on large volumes of data

One-off queries made on an as-needed basis

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

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

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

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

Accountability over info/data that ensures appropriate behavior in the valuation, creation, storage, use, archiving & deletion of info.

Import, collect, and capture data from multiple sources

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

Alter the layout and content of reports

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

Track and analyze user behavior within a system or network

Active reporting of data and metrics

queries that are executed when needed and are usually not repeated on a pre-defined cadence.

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

Allows users to manage data from a number of sources

Store and organize documents in a centralized system

Define levels of authorization for access to specific files or systems

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

Software program that continuously adjusts its behavior based on observed data

Verify, organize, manage & store enterprise data assets in a centralized repository

Track and manage the scheduling of tasks

Import and export data to and from software applications

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

A collection of customer information such as contact details, demographics, previous interactions, etc.

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

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

Graphical representation of data

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

Create, design and manage workflows for repetitive tasks

Search for specific words or phrases within a document or database

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

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

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

Connect to big data sources

Data is backed up automatically to prevent data loss

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

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

Protect sensitive data for digital privacy

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

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

Collect and maintain structured information that describes data or content

Creation and customization of dashboards

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

Securely stores data to prevent data loss or breaches

Combining data from different sources and providing a unified view

Supports common databases such as MySQL and Oracle

Track the management and flow of data throughout the organization

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

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

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

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

Define levels of authorization for access to specific files or systems

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

Looking at data from different sources and finding possible duplicates, or identical matches

Active monitoring of systems, applications, or networks

Collect and maintain structured information that describes data or content

Track the progress of long term goals, campaigns, and opportunities, for sales, projects, business ventures etc.

Planning and managing the execution of tasks or jobs within a computer system, network, or other automated environments

Creation and customization of dashboards

Manage and store data in a database

Allows users to manage data from a number of sources

Import and export data to and from software applications

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

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

Connect to big data sources

Alter the layout and content of reports

Allow users to access multiple services after entering their login credentials once

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

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

Integrate with a third-party accounting system

Receive data and information in real time

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

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

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

Graphical representation of data

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

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

Analyze and gain insights into data in real-time

Import, collect, and capture data from multiple sources

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

Organize and manage the accomplishments and development of employees or performance of applications or systems

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

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

Process of copying and storing data in more than one site or node

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

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

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

Predict future data based on historical data sets

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

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

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