Fivetran Features

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure.

Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more.

Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data.

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

Receive data and information in real time

Extract images and image data from multiple data sources

Extract IP addresses from multiple data sources

Extract email addresses from multiple data sources

Retrieval of embedded metadata that is present within a file

Extract documents and document data from data sources

Extract pricing data from multiple data sources.

Automatically capture data from documents, records, or other online sources

Extract IP addresses from multiple data sources

Extract email addresses from multiple data sources

Extract images and image data from multiple data sources

Extract data from any online source.

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

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

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

Track data and system backups, replication, and failover events.

Integrate with other management, resilience, or backup solutions

Be compatible with a variety of cloud and/or virtual infrastructure.

Monitor replication environment via GUI

Provide as-before failover capabilities for cloud environments.

Services are offered under a pay-as-you-go or utilization-based purchase model.

Offer disaster recovery capabilities as a third-party provider.

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.

Supports the creation of SQL models to query any data warehouse.

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.

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.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Allows users to generate text based on a text prompt.

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

Manage and store data in a database

Pre-designed layouts that can be customized to match preferences and requirements

Allows users to manage data from a number of sources

Form predictions based on past and present data/trends

Timed notification for any upcoming task, deadline, appointment, or activity

Manage and support multiple languages

Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

Access software remotely via mobile devices

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

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

Customize contracts and forms to collect specific information

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

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

Create, design and manage workflows for repetitive tasks

Track the management and flow of data throughout the organization

Review data from past periods to reveal recurring tendencies and predict future performance

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

Connect to big data sources

Multiple channels (email, web link, or social media) to distribute products, services, or surveys to customers

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

Translate EDI formats into data suitable for use with company applications.

Import and export data to and from software applications

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

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

Gauge satisfaction and receive information for improvement and success

Customize data fields to support various needs and use cases

Store, manage and track all forms in a centralized location

Collect information from multiple sources

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

Collect and maintain structured information that describes data or content

Securely stores data to prevent data loss or breaches

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

Define levels of authorization for access to specific files or systems

Support multiple types of devices

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

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

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Practice of collecting data and responses for market research/surveys without an internet connection

Import, collect, and capture data from multiple sources

Alter the layout and content of reports

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

Creation and customization of dashboards

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

Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database

Automatically changes IP addresses to avoid website IP restrictions.

Software program that continuously adjusts its behavior based on observed data

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Ability to recognize printed or written text within digital images or scanned documents

Software's ability to perform similar action on multiple similar files simultaneously

Assemble data from multiple sources

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

AI method of discovering or extracting data patterns from larger volumes of data

Rotating through a series of proxy servers to conceal IP addresses during internet activities

Geographic location of visitors determines behavior of the software

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

Converting JavaScript code into visual elements on web pages for user interaction

Extract structured data from HTML documents for analysis or manipulation

Supports multiple file formats, such as Doc, Docx, PDF, HTML, etc.

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

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

Process and analyze human language in text or audio form

Automatically identify and input CAPTCHA characters to bypass security measures

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

Crawling and indexing web pages

Plan availability and assign specific time slots for tasks and resources

Reduce or block bot traffic

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

Create labels for products that contain required information such as colors, sizes, dates, etc.

Managing and resolving errors that occur during program execution to maintain stability

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