Rayven 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

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.

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

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

Breadth of standard integrations to third-party data providers.

Able to easily integrate data from offline sources.

Able to easily integrate mobile data within the DMP platform.

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

Ease of segmenting user profiles into groups.

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

Provides pre-built dashboards to aggregate and display data.

Allows users to easily build customized reports and dashboards.

Able to set data permissions for strategic partners.

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

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

Provides features to allow scaling for large organizations.

Enables users to use the DMP in multiple languages.

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

Has a centralized dashboard for users to interact with.

Provides accurate details about active IoT-related data plans.

Provides real-time status of connections across IoT architecture.

Monitor and modify SIM cards in embedded devices.

Provides notifications about data plan subscriptions.

Pay, update, and optimize network data plans.

Has a centralized dashboard for users to interact with.

Integrates with existing IoT hardware.

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

Provides pre-built or customizable performance reports.

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Releases the application for access on desktop or mobile devices.

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

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

Releases the application for access on desktop or mobile devices.

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

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

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

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

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

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

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

Receive email reports and notifications regarding metric.

Ability to track historical data.

Track metrics in real time with consistent and frequent updates.

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

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

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

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.

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.

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

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

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

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

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

Provide standard activities and tasks that can be customized by users

Users can easily create flows using drag and drop features

Define and manage dependencies between tasks and workflows

Include alters that can be used with workflows

Ability to update multiple workflows at the same time

Maintain a history of all workflow changes

Integrate with ERP or project management software

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

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

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

Integrate with other data-oriented solutions.

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

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

Allows users to manage third party application integration

Provides a fully white labelled solution

Provides users with intelligent workflow automation capabilities

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

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

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

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.

Provides a functional platform for development of IoT applications.

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

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

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

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

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

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

Allows users to create complex applications with rich features.

Allows users to create a wide variety of application types.

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

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

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.

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

Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining performance and other relevant metrics.

Allows users to track and control resource allocation across multiple devices.

Automatically allocates resources to optimize loads across devices.

Sets a standard performance baseline by which to compare live hardware metrics.

Constantly monitors hardware to detect anomalies in real time.

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

Automatically and/or manually identify internet-enabled devices in the specified retail store or stores.

Connect disparate systems to form a unified intelligent retail architecture.

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

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

Integrates with existing IoT hardware.

Has a centralized dashboard for users to interact with.

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

Connect disparate systems to form a unified intelligent manufacturing architecture.

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

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

Integrates with existing IoT hardware.

Has a centralized dashboard for users to interact with.

Automate processes for individual devices or unified systems.

Offers assistance with store and customer security.

Offers assistance with customer and employee safety.

Observe and respond to environmental changes, such as lighting, temperature, and sound.

Improves resource utilization across connected devices.

Assists with inventory alerts and suggestions based on demand and available stock.

Provides insights into customer behavior and traffic, with timely customer service recommendations in some cases.

Provides pre-built or customizable performance reports.

Automate processes for individual devices or unified systems.

Offers assistance with factory security.

Offers assistance with employee, product, and equipment safety.

Observe and respond to environmental changes.

Improves resource utilization across connected devices.

Assists with overall improvement of product quality and volume.

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

Provides pre-built or customizable performance reports.

As reported in 24 Rayven reviews. Provides useful pre-defined data connections to various types of IoT sensors and objects.

Provides a robust external interface for integrating data, logic and workflows with other software applications. This feature was mentioned in 24 Rayven reviews.

Maintains an efficient, reliable data flow with established sources. 24 reviewers of Rayven have provided feedback on this feature.

Based on 24 Rayven reviews. Run detailed queries for searching, sorting, and analyzing data.

As reported in 24 Rayven reviews. Create personalized dashboards for observing and interacting with data.

Contains tools to visualize data sets or workflows. This feature was mentioned in 24 Rayven reviews.

Offers actionable insights or relevant findings from unstructured data sets. This feature was mentioned in 24 Rayven reviews.

Based on 23 Rayven reviews. Track the individual performance of connected devices.

Learn about overall operational performance from device observations. This feature was mentioned in 24 Rayven reviews.

Based on 23 Rayven reviews. Make observations about environmental and workplace conditions.

As reported in 24 Rayven reviews. Measure the usage of and/or demand for various resources.

Observe the general health and status of connected devices.

Receive timely notifications about system issues or abnormalities.

Collect data related to device processes and conditions.

Automatically discovers available devices in the local network.

Recognizes a variety of sensor and device types.

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

Modify device or sensor settings from anywhere.

Allows for remote execution of device actions and events.

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

Send bulk updates and upgrades directly to devices.

Configure user access and account permissions

Offers protocols for network security.

Ensures regulatory compliance across systems and processes.

Disguise critical data to prevent theft and suspicious activity.

Employs data encryption both at rest and in transit.

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

Supports secure communication protocols like FTPS, SFTP etc

Ability for users to offload authentication integration

Compliant with GDPR, HIPPA, and other necessary regulations

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

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

Allows for designing and deploying of connected system workflows.

Provides in-app testing capabilities for IoT projects.

Supports a variety of connected objects and sensor types.

Releases the live application for its intended use.

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

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

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

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

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

Generates data related to application usage and performance.

Performs risk and security gap assessments for connected assets.

Assists with authentication and authorization of connected assets.

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

Monitors device behaviors to identify abnormal events.

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

Provides security measures for IoT networks and gateways.

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

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

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

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

Measure the ongoing and expected costs of active IoT systems.

Transmit data without altering the data’s inherent meaning.

Normalize transmitted data for easier consumption by the receiving system.

Facilitate market data-as-a-service acquisition.

Facilitate industry data-as-a-service acquisition.

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

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

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

Generates data related to device and application usage and performance.

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

Provides administration features for deploying live applications on edge devices.

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

Maintains an efficient, reliable data flow with established sources.

Track the individual performance of connected devices.

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

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

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

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

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

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

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

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

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

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

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

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

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

Integrates data from disparate sources, without physical data movement

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

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

Provides Integrations to EDI service providers.

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.)

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).

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

Supports deployment of integration apps to a managed cloud environment

Scales to adapt to rising data volume

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

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

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

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

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

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

Aids in faster processing of query to obtain results.

Enables faster queries and search engine-like workloads.

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

Aids in monitoring and reporting data pipeline performance.

Manages in building pipelines between two protocols.

Allows continuous data ingestion directly from the data source.

Aids the database in scaling horizontally and vertically in petabytes.

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

Enables ingesting data efficiently and securely.

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

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.

Converts images into a textual description, identifying key elements.

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.

Allows users to generate text based on a text prompt.

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 integration with multiple data sources for seamless data input.

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

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Anticipates needs and offers suggestions without prompting

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

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

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives