[
Rayven Reviews
](https://www.g2.com/products/rayven/reviews)

[
Rayven Reviews
](https://www.g2.com/products/rayven/reviews)

# Rayven Features

##### 
## Reports (8)

Reports Interface

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

Steps to Answer

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

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

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

Reports Interface

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

Share Reports

Receive email reports and notifications regarding metrics.

Steps to Answer

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

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##### 
## Data Integration (6)

1st-Party Data Integration

Integration with ad servers, DSPs, and SSPs, and other data sources for in- and out-bound data transfer.

2nd-Party Data Integration

Allows user to combine first party data collected with additional first party data of strategic partners.

3rd-Party Data Integration

Breadth of standard integrations to third-party data providers.

Offline Data Integration

Able to easily integrate data from offline sources.

Mobile Data Integration

Able to easily integrate mobile data within the DMP platform.

Data Export Tools

Able to extract data from the DMP in bulk through a structured file.

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##### 
## Data Analysis & Optimization (4)

Audience Segmentation

Ease of segmenting user profiles into groups.

Recommendations

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

Standard Dashboards

Provides pre-built dashboards to aggregate and display data.

Custom Reports

Allows users to easily build customized reports and dashboards.

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##### 
## Platform (21)

Data Permissions

Able to set data permissions for strategic partners.

User, Role, and Access Management

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Performance and Reliability

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

Enterprise Scalability

Provides features to allow scaling for large organizations.

Internationalization

Enables users to use the DMP in multiple languages.

Machine Scaling

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

Data Preparation

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

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Dashboard

Has a centralized dashboard for users to interact with.

Plan Information

Provides accurate details about active IoT-related data plans.

Connection Status

Provides real-time status of connections across IoT architecture.

SIM Management

Monitor and modify SIM cards in embedded devices.

Account Alerts

Provides notifications about data plan subscriptions.

Subscription Billing

Pay, update, and optimize network data plans.

Dashboard

Has a centralized dashboard for users to interact with.

Hardware

Integrates with existing IoT hardware.

Performance

Is consistently available (uptime) and allows users to complete tasks reliably.

Reporting

Provides pre-built or customizable performance reports.

Conversation Editor

Allows business to edit conversations to meet the unique needs of one's business.

Integration

Gives users the ability to update systems, like CRM, based on conversations.

Human-In-The-Loop

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

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##### 
## Statistical Tool (3)

Scripting

Supports a variety of scripting environments

Data Mining

Mines data from databases and prepares data for analysis

Algorithms

Applies statistical algorithms to selected data

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##### 
## Data Analysis (2)

Analysis

Analyzes both structured and unstructured data

Data Interaction

Interacts with data to prepare it for visualizations and models

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##### 
## Decision Making (4)

Modeling

Offers modeling capabilities

Data Visualizations

Creates data visualizations or graphs

Report Generation

Generates reports of data performance

Data Unification

Unifies information on a singular platform

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##### 
## Application Design (5)

UI Code Extending

Gives users the ability to edit or write custom HTML, Javascript or CSS code.

Programming Code Extending

Allows users to edit or write custom code with programming languages.

Customized Branding

Provides tools for inserting brand logos, colors, quotes, and other proprietary content.

Application Templates

Provides base-level application templates to build atop and which users can customize for specifc users and actions.

Workflows

Allows the creation ofpage sequences, forms, and libraries for users navigating the application.

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##### 
## Data Control (9)

Data Migration

Lets users add data from existing sources when creating the initial application or changing data sources.

Data Synchronization

Continuously updates data as users or external data sources are edited.

Data Security

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Data Migration

Lets users add data from existing sources when creating the initial application or changing data sources.

Data Synchronization

Continuously updates data as users or external data sources are edited.

Data Security

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Data Migration

Lets users add data from existing sources when creating the initial application or changing data sources.

Data Synchronization

Continuously updates data as users or external data sources are edited.

Data Security

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

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##### 
## Publishing (6)

Application Deployment

Releases the application for access on desktop or mobile devices.

Platform Compatability

Lets users build cross-platform applications or provide specific templates for different device types.

Lifecycle Management

Provides ability to manage application and maintenance from build, throughout the release, and until it's deactivation.

Application Deployment

Releases the application for access on desktop or mobile devices.

Platform Compatibility

Lets users build cross-platform applications or provide specific templates for different device types.

Lifecycle Management

Provides ability to manage application and maintenance from build, throughout the release, and until it's deactivation.

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##### 
## User Interface Design (4)

WYSIWYG Editor

Provides the ability to drag-and-drop elements into the application to customize interface.

Customized Branding

Provides tools for inserting brand logos, colors, quotes, and other proprietary content.

App Templates

Provides base-level application templates to build atop and customize for specifc users and actions.

Workflow Management

Allows the creation ofpage sequences, forms, and libraries for users navigating the application.

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##### 
## Data Updates (5)

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

Email Reports

Receive email reports and notifications regarding metric.

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

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##### 
## Model Development (5)

Language Support

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

Drag and Drop

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

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Feature Engineering

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

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##### 
## Machine/Deep Learning Services (6)

Computer Vision

Offers image recognition services

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Artificial Neural Networks

Offers artificial neural networks for users

Natural Language Understanding

Offers natural language understanding services

Deep Learning

Provides deep learning capabilities

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##### 
## Deployment (3)

Managed Service

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

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

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##### 
## Database (3)

Real-Time Data Collection

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

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

Data Lake

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

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##### 
## Integrations (2)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Processing (2)

Cloud Processing

Moves big data collection and processing to the cloud

Workload Processing

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

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##### 
## Data Transformation (2)

Real-Time Analytics

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

Data Querying

Allows user to query data through query languages like SQL.

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##### 
## Connectivity (4)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Spark

Multi-Source Analysis

Integrates data from multiple external databases.

Data Lake

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

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##### 
## Operations (9)

Data Visualization

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

Data Workflow

Strings together specific functions and datasets to automate analytics iterations.

Governed Discovery

Isolates certain datasets and facilitates management of data access.

Embedded Analytics

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

Notebooks

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

Process Control

The ability for administrators to update or change processes, configurations, workflows, and securitty mechanisms.

Interoperability

Connects to external systems and applications as needed to complete team workflows.

Interface

Offers simple, intuitive interface for designing IoT applications with little or no coding.

Access Controls

Configure user access and account permissions for edge device and application access.

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##### 
## Setup (4)

Activities

Provide standard activities and tasks that can be customized by users

Flows

Users can easily create flows using drag and drop features

Dependencies

Define and manage dependencies between tasks and workflows

Notifications

Include alters that can be used with workflows

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##### 
## Management (15)

Updates

Ability to update multiple workflows at the same time

Audit Trail

Maintain a history of all workflow changes

Integration

Integrate with ERP or project management software

Reporting

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

Auditing

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

Source and Destination Selection

Allow users to select the data's source(s) and destination(s) for the exchange process.

Solution Integration

Integrate with other data-oriented solutions.

Reporting and Visualization

Generate reports, dashboards, and graphics around data exchange KPIs and stats.

Data Governance

Provide data governance strategies or capabilities for exchanged and acquired data.

Third-Party Apps

Allows users to manage third party application integration

White Labelled

Provides a fully white labelled solution

Workflow

Provides users with intelligent workflow automation capabilities

Self-Service

Self-service enables a software provider’s customers to easily activate packaged integrations.

Monitoring

Monitoring features, including instrumentation and observability, enable the product team and operations teams to centrally manage all customer integrations.

Notification

Notification and alerts are included that empower development teams to manage and push out updates to integrations to across their customer base.

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##### 
## Functionality (23)

Extraction

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

Transformation

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

Loading

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

Automation

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

Scalability

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

Platform

Provides a functional platform for development of IoT applications.

Multi-Language Support

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

Performance

Is consistently available (uptime) and allows users to complete tasks reliably.

Help Guides

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

Ease of Use

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

Patches & Updates

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

Integrations

Offers pre-built integrations with other development software and/or IoT software.

App complexity

Allows users to create complex applications with rich features.

App Variety

Allows users to create a wide variety of application types.

Customized Branding

Provides tools for inserting brand logos, colors, quotes, and other proprietary content.

Application Templates

Provides base-level application templates to build atop and customize for specifc users and actions.

Ease of Use

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

File Management

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

Multi-Language Support

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

Customization

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

Straight-Out-the-Box Functionality

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

Help Guides

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

Patching & Updates

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

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##### 
## System (1)

Data Ingestion & Wrangling

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

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##### 
## Data Sources (3)

Pre-Built Connectors

Provides useful pre-defined data connections to various types of IoT sensors and objects.

API

Provides a robust external interface for integrating data, logic and workflows with other software applications.

Performance and Stability

Maintains an efficient, reliable data flow with established sources.

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##### 
## Analytics (4)

Queries

Run detailed queries for searching, sorting, and analyzing data.

Dashboards

Create personalized dashboards for observing and interacting with data.

Visualizations

Contains tools to visualize data sets or workflows.

Insights

Offers actionable insights or relevant findings from unstructured data sets.

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##### 
## Metrics (4)

Device Performance

Track the individual performance of connected devices.

Operational Performance

Learn about overall operational performance from device observations.

Environmental Conditions

Make observations about environmental and workplace conditions.

Resource Usage

Measure the usage of and/or demand for various resources.

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##### 
## Monitoring (3)

Device Status

Observe the general health and status of connected devices.

Alerts & Notifications

Receive timely notifications about system issues or abnormalities.

Analytics

Collect data related to device processes and conditions.

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##### 
## Device Recognition (3)

Device Discovery

Automatically discovers available devices in the local network.

Device Types

Recognizes a variety of sensor and device types.

Dashboard

Has a centralized dashboard of connected devices for users to interact with.

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##### 
## Provisioning (4)

Remote Configuration

Modify device or sensor settings from anywhere.

Event Triggering

Allows for remote execution of device actions and events.

Device Diagnostics & Repair

Assess individual device issues and repair over the cloud if possible.

Firmware Updates

Send bulk updates and upgrades directly to devices.

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##### 
## Security (9)

Access Controls

Configure user access and account permissions

Network Security

Offers protocols for network security.

Compliance

Ensures regulatory compliance across systems and processes.

Cryptography

Disguise critical data to prevent theft and suspicious activity.

Data Encryption

Employs data encryption both at rest and in transit.

Security Standards

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

Communication Protocol

Supports secure communication protocols like FTPS, SFTP etc

Authentication

Ability for users to offload authentication integration

Compliance

Compliant with GDPR, HIPPA, and other necessary regulations

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##### 
## Application Design (6)

Interface

Offers simple, intuitive interface for designing IoT applications with little or no coding.

Templates

Includes pre-built templates for basic IoT applications or components.

Device Workflows

Allows for designing and deploying of connected system workflows.

Testing

Provides in-app testing capabilities for IoT projects.

Hardware Support

Supports a variety of connected objects and sensor types.

Application Deployment

Releases the live application for its intended use.

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##### 
## Application Control (6)

Data Migration

Lets users add data from existing sources when creating the initial application or changing data sources.

Data Syncronization

Continuously updates data as users or external data sources are edited.

Data Security

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Integrations

Offers pre-built integrations with other development software and/or IoT software.

Lifecycle Management

Provides ability to manage application and maintenance from build, throughout the release, and until its deactivation.

Analytics

Generates data related to application usage and performance.

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##### 
## Systems Management (6)

Device Discovery

Automatically and/or manually identify internet-enabled devices in the specified manufacturing areas.

System Integration

Connect disparate systems to form a unified intelligent manufacturing architecture.

Remote Access

Allows for remote control and modification of individual devices or systems.

Workflows

Design intelligent workflows for specified devices, such as automated adjustments and event triggers.

Hardware

Integrates with existing IoT hardware.

Dashboard

Has a centralized dashboard for users to interact with.

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##### 
## IoT Capabilities (8)

Process Automation

Automate processes for individual devices or unified systems.

Security

Offers assistance with factory security.

Safety

Offers assistance with employee, product, and equipment safety.

Environmental Conditions

Observe and respond to environmental changes.

Resource Optimization

Improves resource utilization across connected devices.

Product Quality

Assists with overall improvement of product quality and volume.

Predictive Maintenance

Provides timely insights into equipment health and conditions for proactive maintenance.

Analytics

Provides pre-built or customizable performance reports.

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##### 
## Connected Device Security (8)

Vulnerability Assessment

Performs risk and security gap assessments for connected assets.

Identity Lifecycle

Assists with authentication and authorization of connected assets.

Threat Protection

Provides general protection against device threats, such as firewall and antivirus tools.

Behavior Analysis

Monitors device behaviors to identify abnormal events.

Incident Response

Responds to suspicious activity related to IoT devices. This may include actions such as threat containment and eradication as well as device recovery.

IoT Network Security

Provides security measures for IoT networks and gateways.

OTA Updates

Automatically sends over-the-air (OTA) security updates to connected devices.

Alerts & Notifications

Sends timely security notifications to users in-app or through email, text message or otherwise.

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##### 
## Reporting (3)

Data Usage

Track the volume of data being used across IoT networks and devices.

Available Bandwidth

Track the available bandwidth for individual device data or networks as a whole.

Cost Analytics

Measure the ongoing and expected costs of active IoT systems.

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##### 
## Exchange Functions (2)

Data Transmission

Transmit data without altering the data’s inherent meaning.

Data Normalization

Normalize transmitted data for easier consumption by the receiving system.

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##### 
## Data as a Service (4)

Market Data Acquisition

Facilitate market data-as-a-service acquisition.

Industry Data Acquisition

Facilitate industry data-as-a-service acquisition.

Source Data Acquisition

Facilitate consumption source (e.g., web, mobile, IoT) data-as-a-service acquisition.

Targeted Data Acquisition

Facilitate targeted subject matter data-as-a-service acquisition.

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##### 
## Responses (3)

Personalization

Provides personalized responses to interlocator based on segmentation or past responses.

Route To Human

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Natural Language Understanding (NLU)

Can have a natural, human-like conversation with an interlocator.

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##### 
## Edge (4)

Local processing

Executes compute functions on local devices to remain consistently available and allows users to complete tasks reliably.

Edge Analytics

Generates data related to device and application usage and performance.

Edge Data Storage

Stores device and application data locally to minimize potential for vulnerabilities and exposure.

Edge Application Management

Provides administration features for deploying live applications on edge devices.

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##### 
## Performance (4)

Containerization

Allows users to manage, orchestrate, and deploy containers on local devices.

Performance and Stability

Maintains an efficient, reliable data flow with established sources.

Device Performance

Track the individual performance of connected devices.

Scalability

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

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##### 
## Development (7)

Real-Time Integration

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

API Designer

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

Flow Designer

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

Pre-Built Connectors

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

Custom Connectors

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

Reusable connectors

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

Multi - tenant architecture

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

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##### 
## Management (5)

Monitoring & Notification

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

Routing And Orchestration

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

Data Mapping

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

Data Transformation

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.

API Management

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

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##### 
## Integration Options (4)

Data Virtualization

Integrates data from disparate sources, without physical data movement

Managed File Transfers

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

Big Data Processing

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

EDI

Provides Integrations to EDI service providers.

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##### 
## Visualization (4)

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

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

Formats

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

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##### 
## Collaboration (3)

Sharing

Provides the ability to easily share visualizations.

Co-Editing

Allows multiple users to edit and create visualizations together.

Devices

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

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##### 
## Deployment (2)

Hybrid

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

Cloud to Cloud

Supports deployment of integration apps to a managed cloud environment

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##### 
## Data (1)

Scalability

Scales to adapt to rising data volume

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##### 
## Development (2)

Low-Code

Provides users with self-service, low-code/no-code development options

Customization

Allows users to build and deploy custom integrations for customer-facing applications

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##### 
## Application Integration (4)

Third Party

Organizations have the ability to integrate applications with third party and/or customer facing applications.

Scalability

Elastic processing capabilities enable software providers to meet customer integration processing demand.

Workflow Automation

Platform provides users with prebuilt application connectors and integration workflow automations.

Connectivity

Connectivity APIs can be enabled to allow development teams to directly integrate with applications, databases, and services.

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##### 
## Query latency (2)

Lower query latency

Aids in faster processing of query to obtain results.

Continuous queries

Enables faster queries and search engine-like workloads.

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##### 
## Data latency (2)

Lower data latency

Enables the user to track the time taken for data to be generated and available for processing

Data pipeline performance

Aids in monitoring and reporting data pipeline performance.

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##### 
## Connectors (2)

Faster ingestion

Manages in building pipelines between two protocols.

Built-in connectors

Allows continuous data ingestion directly from the data source.

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##### 
## Scale (2)

Linearly scalable database

Aids the database in scaling horizontally and vertically in petabytes.

Storage management

Helps store the data in fixed size segments called vectors for better management.

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##### 
## Architecture (2)

Data security

Enables ingesting data efficiently and securely.

Lockless architecture

Allows concurrent access to data without the use of any table locks.

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##### 
## Generative AI (10)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text-to-Image

Provides the ability to generate images from a text prompt.

AI Text Generation

Allows users to generate text based on a text prompt.

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##### 
## Scalability and Performance - Generative AI Infrastructure (3)

AI High Availability

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

AI Model Training Scalability

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

AI Inference Speed

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

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##### 
## Cost and Efficiency - Generative AI Infrastructure (3)

AI Cost per API Call

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

AI Resource Allocation Flexibility

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

AI Energy Efficiency

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

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##### 
## Integration and Extensibility - Generative AI Infrastructure (3)

AI Multi-cloud Support

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

AI Data Pipeline Integration

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

AI API Support and Flexibility

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

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##### 
## Security and Compliance - Generative AI Infrastructure (3)

AI GDPR and Regulatory Compliance

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

AI Role-based Access Control

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

AI Data Encryption

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

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##### 
## Usability and Support - Generative AI Infrastructure (2)

AI Documentation Quality

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

AI Community Activity

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.

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##### 
## Automation - AI Agents (5)

Sales Follow-Up

Allows users to automate responses to customer inquiries across various channels.

Customer Interaction Automation

Allows users to automate responses to customer inquiries across various channels.

Lead Generation

Allows users to automate the process of generating and qualifying sales leads.

Document Processing

Allows users to automate the handling, processing, and management of documents.

Feedback Collection

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

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##### 
## Autonomy - AI Agents (4)

Independent Decision Making

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Adaptive Responses

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Task Execution

Provides the AI agent the ability to execute tasks without requiring constant user input.

Problem Solving

Allows the AI agent to identify and resolve issues without user intervention.

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##### 
## Integration - Machine Learning (1)

Integration

Supports integration with multiple data sources for seamless data input.

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##### 
## Learning - Machine Learning (3)

Training Data

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Actionable Insights

Generates actionable insights by applying learned patterns to key issues.

Algorithm

Continuously improves and adapts to new data using specified algorithms.

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##### 
## Prompt Engineering - Large Language Model Operationalization (LLMOps) (2)

Prompt Optimization Tools

Provides users with the ability to test and optimize prompts to improve LLM output quality and efficiency.

Template Library

Gives users a collection of reusable prompt templates for various LLM tasks to accelerate development and standardize output.

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##### 
## Model Garden - Large Language Model Operationalization (LLMOps) (1)

Model Comparison Dashboard

Offers tools for users to compare multiple LLMs side-by-side based on performance, speed, and accuracy metrics.

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##### 
## Custom Training - Large Language Model Operationalization (LLMOps) (1)

Fine-Tuning Interface

Provides users with a user-friendly interface for fine-tuning LLMs on their specific datasets, allowing better alignment with business needs.

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##### 
## Application Development - Large Language Model Operationalization (LLMOps) (1)

SDK & API Integrations

Gives users tools to integrate LLM functionality into their existing applications through SDKs and APIs, simplifying development.

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##### 
## Model Deployment - Large Language Model Operationalization (LLMOps) (2)

One-Click Deployment

Offers users the capability to deploy models quickly to production environments with minimal effort and configuration.

Scalability Management

Provides users with tools to automatically scale LLM resources based on demand, ensuring efficient usage and cost-effectiveness.

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##### 
## Guardrails - Large Language Model Operationalization (LLMOps) (2)

Content Moderation Rules

Gives users the ability to set boundaries and filters to prevent inappropriate or sensitive outputs from the LLM.

Policy Compliance Checker

Offers users tools to ensure their LLMs adhere to compliance standards such as GDPR, HIPAA, and other regulations, reducing risk and liability.

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##### 
## Model Monitoring - Large Language Model Operationalization (LLMOps) (2)

Drift Detection Alerts

Gives users notifications when the LLM performance deviates significantly from expected norms, indicating potential model drift or data issues.

Real-Time Performance Metrics

Provides users with live insights into model accuracy, latency, and user interaction, helping them identify and address issues promptly.

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##### 
## Security - Large Language Model Operationalization (LLMOps) (2)

Data Encryption Tools

Provides users with encryption capabilities for data in transit and at rest, ensuring secure communication and storage when working with LLMs.

Access Control Management

Offers users tools to set access permissions for different roles, ensuring only authorized personnel can interact with or modify LLM resources.

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##### 
## Gateways & Routers - Large Language Model Operationalization (LLMOps) (1)

Request Routing Optimization

Provides users with middleware to route requests efficiently to the appropriate LLM based on criteria like cost, performance, or specific use cases.

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##### 
## Inference Optimization - Large Language Model Operationalization (LLMOps) (1)

Batch Processing Support

Gives users tools to process multiple inputs in parallel, improving inference speed and cost-effectiveness for high-demand scenarios.

Show More

##### 
## Customization - AI Agent Builders (3)

Natural Language Configuration

Supports configuration using natural language instructions.

Tone Customization

Allows users to customize the tone of agent.

Security Guardrails

Enables definition of clear security guardrails for agent actions.

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##### 
## Functionality - AI Agent Builders (4)

Omni-channel Support

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

Agent Branding

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

Proactive Response Capabilities

Equips agents with proactive response capabilities based on predefined triggers.

Seamless Human Escalation

Facilitates seamless escalation to human employees for complex issues.

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##### 
## Data and Analytics - AI Agent Builders (3)

Analytics & Reporting

Provides analytics and reporting on agent performance and interactions.

Contextual Awareness

Offers agents the ability to maintain contextual awareness across interactions.

Data Privacy Compliance

Ensures compliance with data privacy and governance requirements.

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##### 
## Integration - AI Agent Builders (4)

Workflow Automation

Automates workflows and actions based on agent responses.

API Usage

Allows the use of APIs for advanced agent configuration.

Platform Interoperability

Enables interoperability with multiple platforms for unified experiences.

CRM Data Integration

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

Show More

##### 
## Workflow Design & Orchestration (2)

Task Logic and Sequencing

Supports defining task order, dependencies, and conditional logic in workflows.

Visual Workflow Builder

Provides a visual interface for managing workflows without code.

Show More

##### 
## Integrations & Connectivity (2)

Pre-Built Integrations

Offers pre-built connectors for widely used business applications and systems.

Custom Integration Capabilities

Provides API and webhook support for building and managing custom integrations.

Show More

##### 
## Automation Execution & Intelligence (2)

AI-Powered Optimization

Provides AI-driven insights or suggestions to improve workflow performance and efficiency.

Trigger-Based Automation

Supports initiating workflows based on schedules, user actions, or system events.

Show More

##### 
## Development & Customization (2)

Low-Code/No-Code Tools

Provides a low-code or no-code interface for creating and modifying workflows.

Reusable Components

Allows reuse of workflow elements such as templates, forms, or logic blocks.

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##### 
## Governance & Security (2)

Audit Logging

Offers detailed audit trails to monitor changes and user activity within workflows.

Role-Based Access Control

Provides tools to manage access permissions based on user roles.

Show More

##### 
## Reporting & Analytics (2)

Real-Time Dashboards

Offers real-time dashboards to track progress and automation impact.

Workflow Analytics

Provides metrics and insights into workflow performance and bottlenecks.

Show More

##### 
## Agentic AI - Low-Code Development Platforms (3)

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Show More

##### 
## Agentic AI - Drag and Drop App Builder (3)

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Show More

##### 
## Agentic AI - No-Code Development Platforms (3)

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Show More

##### 
## Agentic AI - Business Automation Platforms (BAPs) (6)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

Show More

##### 
## Agentic AI - Industrial IoT (1)

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Show More

##### 
## Agentic AI - Data Science and Machine Learning Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

Show More

##### 
## Agentic AI - Workflow Management (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

Show More

##### 
## Agentic AI - Data Management Platform (DMP) (6)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

Show More

[

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4.8/5

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## Technology Glossary Features

View full feature definition

View definitions of the features and discover new technology terms.

[View Glossary](/glossary)

[Dashboard](/glossary/dashboard-definition)

What is a dashboard and why is it important as a software feature? Our G2 guide can help you understand dashboards and learn more about its types, benefits, and best practices.

[User Role and Access Management](/glossary/user-role-and-access-management-definition)

What is user role and access management and why is it important as a software feature?

##### Categories on G2

[
AI Agents For Business Operations
](https://www.g2.com/categories/ai-agents-for-business-operations)[
Workflow Management
](https://www.g2.com/categories/workflow-management)[
AI Agent Builders
](https://www.g2.com/categories/ai-agent-builders)

[
Predictive Analytics
](https://www.g2.com/categories/predictive-analytics)[
No-Code Development Platforms
](https://www.g2.com/categories/no-code-development-platforms)[
Low-Code Development Platforms
](https://www.g2.com/categories/low-code-development-platforms)[
iPaaS
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Data Visualization
](https://www.g2.com/categories/data-visualization-tools)[
Application Development Platforms
](https://www.g2.com/categories/application-development-platforms)[
ETL Tools
](https://www.g2.com/categories/etl-tools)[
Machine Learning
](https://www.g2.com/categories/machine-learning)[
Business Automation Platforms (BAPs)
](https://www.g2.com/categories/business-automation-platforms-baps)[
Data Science and Machine Learning Platforms
](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[
Drag and Drop App Builder
](https://www.g2.com/categories/drag-and-drop-app-builder)[
Big Data Integration Platforms
](https://www.g2.com/categories/big-data-integration-platforms)[
Big Data Processing and Distribution
](https://www.g2.com/categories/big-data-processing-and-distribution)[
Big Data Analytics
](https://www.g2.com/categories/big-data-analytics)[
Data Exchange Platforms
](https://www.g2.com/categories/data-exchange-platforms)[
Generative AI Infrastructure
](https://www.g2.com/categories/generative-ai-infrastructure)[
On-Premise Data Integration
](https://www.g2.com/categories/on-premise-data-integration)[
Embedded Integration Platforms
](https://www.g2.com/categories/embedded-integration-platforms)[
Large Language Model Operationalization (LLMOps)
](https://www.g2.com/categories/large-language-model-operationalization-llmops)[
IoT Operating Systems
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IoT Analytics Platforms
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Data Management Platform (DMP)
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IoT Device Management Platforms
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IoT Platforms
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Industrial IoT
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IoT Connectivity Management
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IoT Development Tools
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IoT Edge Platforms
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IoT Security Solutions
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Real-time Analytic Database
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Data Management Software
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