FME Platform Features

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

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.

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

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

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

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

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

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

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

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

Ensures live debugging to alert if any failure during data sync.

Supports the creation of automated workflows and data pipelines.

Supports notifications in messaging applications such as Slack, and even in workflows.

Provides several pre-built connectors and API integrations to build data workflows.

Programmatic trigger of syncs via public APIs

Native support for incremental syncing

Move sync logs back into warehouse for auditing

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.

Connect to big data sources

Integrates with QuickBooks

Integrates with Active Directory

Integrating data specifically through the cloud

Integrate with existing ERP systems

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

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Integrate with a third-party accounting system

Seamlessly integrates with 3rd party websites

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.

Ability to handle large datasets

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

Create, design and manage workflows for repetitive tasks

Track, manage and store the applications of potential future members, customers or candidates

Manage, record and track all business exchanges in form of money and its related interactions in the system

Collect and maintain structured information that describes data or content

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

Manage and store data in a database

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

Manage employee salary processes, data, taxes, and records administration efficiently

Manage, store and organize emails within the system or via third-party apps

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

Managing service requests, incidents, IT issues & support with a ticketing system

Automates core HR functions such as talent management, employee evaluation and learning management

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

Managing activities & processes related to planning, coordination, implementation, control, and evaluation of sales performance.

Active monitoring of systems, applications, or networks

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

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

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

Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.

Ensures data encryption across multiple levels of the reverse ETL process.

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.

Receive data and information in real time

Import, collect, and capture data from multiple sources

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

Supports deployment of integration apps to a managed cloud environment

Detailed logging for auditing needs.

Real-time visibility into the reverse ETL process.

Configures data mapping from data warehouse to target tools.

View the reverse ETL data via reports and charts through data viz and sync progress.

Allows users to generate text based on a text prompt.

Receive system updates as soon as any changes are made

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

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

Data vault where data is aggregated for later distribution to applications.

Import and export data to and from software applications

Process of extracting, transforming, and loading data

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

Graphical representation of data

Define levels of authorization for access to specific files or systems

Supports common databases such as MySQL and Oracle

System alerts about the need to escalate an issue or request

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

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

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

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

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

Active reporting of data and metrics

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

Allows users to manage data from a number of sources

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

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

Automatically create schedules based on business needs or employee availability and qualifications

Configure existing workflows to meet your organization's needs

Assemble data from multiple sources

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

Access software remotely via mobile devices

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

Allows the integration of data between different web services

Analyze and gain insights into data in real-time

Send messages via SMS

Accept and process customer payments for products or services using hardware and software

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

Creation and customization of dashboards

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

Software program that continuously adjusts its behavior based on observed data

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

Built-in accounting to manage ledger, accounts payable/receivable, financial reports, etc.

Generate one-off reports that meet information requirements

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

Track the management and flow of data throughout the organization

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

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

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

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

Define levels of authorization for access to specific files or systems

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

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

Active monitoring of systems, applications, or networks

Collect and maintain structured information that describes data or content

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

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

Creation and customization of dashboards

Manage and store data in a database

Allows users to manage data from a number of sources

Import and export data to and from software applications

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

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

Connect to big data sources

Alter the layout and content of reports

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

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

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

Integrate with a third-party accounting system

Receive data and information in real time

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

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

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

Graphical representation of data

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

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

Analyze and gain insights into data in real-time

Import, collect, and capture data from multiple sources

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

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

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

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

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

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

Supports common databases such as MySQL and Oracle

Create, design and manage workflows for repetitive tasks

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

Predict future data based on historical data sets

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

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

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

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