Denodo Features

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

Facilitates the disseminating of collected big data throughout parallel computing clusters

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

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop

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

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

Aligns processing and distribution workflows on top of Apache Hadoop

Moves big data collection and processing to the cloud

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

Allows administrators to assign role-based user access for specific data sets

Hides and masks sensitive data automatically based on user permissions

Provides historical insights into original data sources and transformations made to data sets

Create, design and manage workflows for repetitive tasks

Offers simple search capabilities to discover specific data sets

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

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

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

Allows users to comment on data sets to help future users better interact and interpret the data

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

Creates a business glossary for faster understanding by the average business user

Indexes metadata descriptions for easier searching and enhanced insights

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

Manage and store data in a database

Ability to handle large datasets

Automates recommendations for users based on machine learning functionality

Offers natural language querying functionality for non-technical users

Cleans data to improve quality via automation

Supports for managing different types of databases and integration methods.

Gives admistrators control over data-related privilages and accessability

Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption.

Access work applications remotely, for when working away from the office and/or traveling

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

Remotely monitor and manage client networks, endpoints, systems, and devices via locally installed applications

Monitor service demand and performance to plan for adequate resources that meet business needs

Identify component attributes like servers, hardware, software, and manage relationships across all services

Create, save, and store files

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

Set and monitor service level agreements to ensure timely response and resolution

Prevent naming collisions across files, folders and systems

Define levels of authorization for access to specific files or systems

Creates integrations and allows management of connected contains.

Allows administrators to organize components of the database to maintain instance efficiency.

Allows admisistrators to manage and organize storage, networks, and datacenters.

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

Create new VMs on physical host servers and allocate resources

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

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

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

Functions when integrated with multiple forms of external applications.

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

Consolidate data from various disparate sources in a single unified view

Understand the state of data, applications, systems and services

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

Provides metadata management and lineage capabilities

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

Supports advanced analytics solutions for better business decision making

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

Grant or restrict data access and control

Built - In Backup and Disaster Recovery

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

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.

Provides On-Premise deployment options.

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

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

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.

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.

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

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

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Supports deployment across multiple environments or cloud platforms with consistent configuration management

Provides APIs and SDKs for seamless integration with orchestration, governance, and custom data tools

Allows querying and joining data across multiple warehouses and lakes without requiring data replication

Automatically adapts to schema or metadata changes in connected data sources while maintaining consistency

Enables users to create derived or calculated metrics based on governed data definitions

Provides built-in support for time-based calculations such as YoY, MoM, and rolling averages

Enhances performance by using intelligent caching, precomputation, and acceleration techniques

Automatically tunes and optimizes queries based on data size, frequency, and usage patterns

Provides visibility and control over how AI systems or automated agents interact with the semantic layer

Tracks how governed metrics and datasets are used in AI/ML training to ensure transparency, compliance, and clear data traceability

Provides version control for semantic models and metrics, with change tracking, rollback, and impact analysis to see how updates affect downstream data or reports

Allows users or AI assistants to explore and query metrics through natural language prompts

Enables AI and machine learning systems to directly consume standardized, governed metrics and logic

Suggests relevant metrics, joins, or insights based on context and historical usage patterns

Enables autonomous AI agents to compose, execute, and refine analytical queries via the semantic layer

Provides semantic context graphs that help AI agents understand data relationships and business logic

Allows semantic agents to trigger automated actions such as data refreshes, alerts, or report generation

Retrieval of embedded metadata that is present within a file

Data is backed up automatically to prevent data loss

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

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

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

Verify the identity of users/devices to enable secure access

Protect sensitive data for digital privacy

Track the management and flow of data throughout the organization

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

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

An organized inventory of all data assets

Allows users to manage data from a number of sources

Organize and group data or items based on various criteria

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

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

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

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

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

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

Centralized repository to store content and assets

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

Import and export data to and from software applications

Define levels of authorization for access to specific files or systems

Graphical representation of data

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

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

Active reporting of data and metrics

Active monitoring of systems, applications, or networks

Extra layer of security that requires not only a password and username but also something specific to that user

Encrypts all information within a virtual machine including data, files, OS and software programs.

Create backups and provide methods to recover deleted/lost data

Move files across different systems or networks

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Securely stores data to prevent data loss or breaches

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

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

Track and manage virtual machines (VMs) running on physical host machines

Process of distributing a set of tasks over a set of resources, with the aim of making their overall processing more efficient

Deploy updates or install new software remotely

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

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

Create images of a virtual machine at a specific point in time as a state to revert to if needed

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

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

Monitoring and measurement of relevant metrics to assess the performance of IT resources

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

Platform to achieve application and desktop virtualization

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

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

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

Plan and implement business continuity measures in case of unforeseen events

System alerts about the need to escalate an issue or request

Data is backed up automatically to prevent data loss

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