Coalesce Features

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

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

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

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

Allows businesses to easily connect to any data source

Offers API connections for cloud-based applications and data sources

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

Indexes metadata descriptions for easier searching and enhanced insights

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

Allows self-service joining of tables

Provides the ability to combine data sources into one data set

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

Offers collaborative functionality for sharing queries and data sets

Ensures user access management, data lineage, and data encryption

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

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

Operationalizes data workflows to easily scale repeatable preparation needs

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

Tools to create and adjust workflows to ensure consistency.

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

Configure existing workflows to meet your organization's needs

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

Software is able to alert the user in case of any errors.

Utilizes data to proactively identify IT issues.

Creates new or streamlines existing data models to ensure business continuity.

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

Provides guidelines or training related to sensitive data compliance requirements,

Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Active monitoring of systems, applications, or networks

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

Facilitates the disseminating of collected big data throughout parallel computing clusters

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

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

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

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

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

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

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

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

Graphical representation of data

Identify the different type of anomalies and receive alerts.

The data observability environment can be viewed from a single dashboard.

Provides immediate alerts for any anomalies or expected events.

Establishes lineage for the data pipeline - from data warehouse to the data user.

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

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.

Automatic creation and management of documents.

The software supports a wide variety of data sources and data warehouses that require automation.

Supports a template system, making it easier to set up configuration parameters.

Generate real-time depth analytics utilizing event metrics, logging and metadata.

Use custom or pre-built tests for buisness rules. to ensure data quality.

Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.

Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

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

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

Helps adhere to data privacy regulations and norms.

Define levels of authorization for access to specific files or systems

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

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

Collect and maintain structured information that describes data or content

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

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

Manage and store data in a database

Integrates data and data-related technologies into a single environment.

Provides metadata management capabilities.

Empowers the user via a self-service capability to manage data workflows.

Completely automates end-to-end data workflows across the data integration lifecycle.

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Collect and displays metrics across the data integration via a dashboard.

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments.

Automates all parts of the Data Warehouse lifecycle - warehouse design, provision data sources.

Supports real-time data ingestions and updates in the cloud or on-premises.

Software delivers insights into data in order to identify gaps, risk within the data warehouse.

Supports no-code/low code development patterns.

Indexes metadata descriptions for enhanced insights.

Ensures automation of metadata across the organization. Dynamically improves data management processes.

Embedded collaboration using APIs and in-app integrations.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

Constantly processes metadata to provide intelligent insights.

Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.

Supports 360 degree data visibility via a single dashboard.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

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

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives

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

Integrates with Active Directory

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

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

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Retrieval of embedded metadata that is present within a file

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

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

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

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

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

Import, collect, and capture data from multiple sources

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

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

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

Alter the layout and content of reports

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

Verify the identity of users/devices to enable secure access

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

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

Protect sensitive data for digital privacy

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

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

Initiate collection and analysis of known risks

Track the management and flow of data throughout the organization

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

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

Allows users to manage data from a number of sources

Store and organize documents in a centralized system

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

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

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

Software program that continuously adjusts its behavior based on observed data

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

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

Track the management and flow of data throughout the organization

Process of extracting, transforming, and loading data

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

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.

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

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

Alter the layout and content of reports

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

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

Track the management and flow of data throughout the organization

Track the management and flow of data throughout the organization

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

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

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

Define levels of authorization for access to specific files or systems

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

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

Active monitoring of systems, applications, or networks

Collect and maintain structured information that describes data or content

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

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

Creation and customization of dashboards

Manage and store data in a database

Allows users to manage data from a number of sources

Import and export data to and from software applications

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

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

Connect to big data sources

Alter the layout and content of reports

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

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

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

Receive data and information in real time

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

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

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

Graphical representation of data

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

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

Analyze and gain insights into data in real-time

Import, collect, and capture data from multiple sources

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

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

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

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

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

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

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

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

Predict future data based on historical data sets

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

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

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

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

Indexes metadata descriptions for enhanced insights.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

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

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

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

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

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

Configure existing workflows to meet your organization's needs

Create, design and manage workflows for repetitive tasks

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

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

Protect sensitive data for digital privacy

Retrieval of embedded metadata that is present within a file

Combining data from different sources and providing a unified view

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

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

An organized inventory of all data assets

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

Connect to big data sources

Graphical representation of data

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

A collection of terms that define data key characteristics

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

Ability to handle large datasets

Selects, manipulates and analyzes subsets of data points to identify patterns/trends

Conceptual model of how data items relate to each other

Track the management and flow of data throughout the organization

Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user

Securely stores data to prevent data loss or breaches

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

Regulate who can view information within the system