2022 ETL Platforms Comparison

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.

Software platforms that allow organizations to integrate and synchronize data across multiple silos, applications, formats, and structures, on cloud or on-premise.

The term “low-code” refers to a software platform that builds ETL and data integration pipelines nearly automatically, requiring little or no input from developers. Low-code ETL platforms have a simple, drag-and-drop visual interface, allowing users to easily understand the flow of data throughout the enterprise.

A cloud-based data integration platform is a form of data integration software delivered as a cloud computing service (SaaS).

An on-premise data integration platform is installed behind a corporate firewall. It can access any data within the enterprise network and data in the private and public clouds.

A Hybrid data integration platform allows on-premise services and solutions to seamlessly and securely integrate with cloud-based applications. The elements of the platform run in the public cloud and behind the corporate firewall.

The term “large-volume performance” refers to the ability to process large volumes of data in a short period of time.

This term refers to the ability to design, test and execute complex data transformations using drag and drop interface, as well SQL and scripting languages

The ability to read new database transactions from source database logs, capture changes without making application-level changes or scan transactional tables.

This term refers to the ability to ingest data in real time and consume data from streaming platforms, such as Kafka, Twitter Streams and many others.

The ability to design, publish and manage user-defined data integration REST APIs.

The ability to access third-party APIs using general purpose HTTP connector.

The term “embeddable” refers to the ability to embed elements of the user interface into the third-party web applications. The embeddable ETL platform allows seamless integration with analytical and BI software.

This term refers to the ability for multiple users to simultaneously work on the different parts of the project, sharing design artifacts, scripts and metadata. The key element of the multi role team collaboration is an integration with a version control system.