Partner ｜ Fivetran

Automate both data integration and operations.
Build an analytics infrastructure with a modern data stack

What is Fivetran?

Fivetran is a data integration (ELT) platform that collects and consolidates data scattered across an organization and automatically integrates it into an analytics infrastructure.

It automatically connects diverse data sources—such as SaaS applications, business systems, and databases used within the company—simply by configuring connectors, building data pipelines on a cloud data warehouse (DWH) as a modern data stack. Furthermore, by using the Connector SDK, you can synchronize data from custom data sources—such as products not supported by standard connectors, open data, and proprietary corporate APIs—to the data warehouse.

In addition to automatic data synchronization, Fivetran provides fully managed services—including automatic adaptation to schema changes and recovery in the event of errors—thereby minimizing the burden of operation and maintenance while enabling continuous and stable data utilization.

Fully managed data pipelines with Fivetran

Automate data integration with just a few connector settings

With Fivetran, simply select and configure a connector for your data source, and the process—from data collection to integration into your data warehouse—runs automatically.
You can start building your data pipeline with minimal effort, without the need for API development or complex configurations.

Automatic adaptation
to schema changes

Even if columns are added or data types are changed on the data source side, Fivetran automatically detects these changes and reflects them in the data warehouse schema. This eliminates the need for manual adjustments or reconfiguration, ensuring continuous and stable data integration.

Fully automated data synchronization and updates

Fivetran automatically retrieves and updates data based on your configured schedule. It also supports incremental data synchronization, efficiently maintaining the latest data state.
It minimizes daily operational tasks and provides an analytical environment that is always based on the latest data.

High stability
and fault tolerance

Even if errors occur during data integration, automatic retries and recovery functions ensure stable operation. Processing status is visualized on the management dashboard, making it easy to identify issues.
With highly reliable pipelines, we promote secure and continuous data utilization.

Support for a wide range of data via extensive connectors

Fivetran offers a wide range of connectors that support diverse data sources, including SaaS platforms, advertising platforms, and databases. It centrally collects data scattered across the enterprise, promoting data utilization across the entire organization.

High compatibility
with modern data stacks

Fivetran is optimized for integration with cloud data warehouses such as BigQuery and Snowflake, enabling you to build a data infrastructure based on the ELT approach. When combined with dbt, it delivers a flexible and highly scalable analytics environment.

Direct integration with business tools to accelerate data utilization

Fivetran not only collects and integrates data but also features an activation function (reverse ETL) that synchronizes and activates prepared data in CRM and advertising platforms. By directly linking analysis results to business actions, you can consistently automate the entire process through to the final step of data utilization.

Overview of the Fivetran data pipeline

Fivetran supports over 700 diverse data sources, including SaaS applications, databases, and advertising platforms.
Simply configure connectors to automate data integration and efficiently build the data pipeline that forms the core of your analytics infrastructure.

DATUM STUDIO Capabilities

With a team of over 200 data engineers and AI engineers, DATUM STUDIO has a proven track record of implementing Fivetran, primarily for enterprise companies in Japan.
Furthermore, since signing a Fivetran partnership agreement in 2022, our proven technical expertise and track record have been recognized, and we were certified as an “ADVANCED” partner in 2026.

FAQ

QWhat role does Fivetran play?: A
Fivetran is a data integration platform that automatically collects various data scattered across an organization and integrates it into an analytics infrastructure (DWH).
It retrieves data from various SaaS applications and databases, allowing you to build pipelines quickly and without coding.

QFor what types of companies and scenarios is Fivetran suitable?

It is suitable for companies facing the following challenges:

Companies that use multiple SaaS applications and databases, resulting in dispersed data
Companies that spend significant time and resources on the development and operation of data integration
Companies that want to start leveraging data quickly but have limited engineering resources

It is particularly well-suited for companies that want to centralize data from multiple tools—such as CRM and advertising platforms—to enable cross-departmental analysis and decision-making. The more data sources and the more complex the environment, the greater the benefits you will see.

QCompared to other data integration tools, what are the benefits of implementing Fivetran?: A
Fivetran’s key features include over 700 connectors and a high level of automation.
Compared to building solutions from scratch or using traditional data integration tools, it significantly reduces the effort required for initial setup and ongoing operations.
Additionally, it features automatic adaptation to schema changes on the data source side, reducing operational maintenance overhead and helping you maintain a stable data infrastructure.

QIs it possible to complete the entire process from data acquisition to transformation using Fivetran?: A
Fivetran automatically handles data acquisition, updates, and synchronization, minimizing the need for manual intervention.
It supports scheduled, periodic runs and also enables incremental updates that efficiently import only the data that has changed since the last synchronization.
This allows you to keep the data in your data warehouse up to date while keeping the processing load low.

While Fivetran’s main strengths lie in data extraction and loading, it also offers the capability to complete data transformation within the tool itself.
However, when applying more complex business logic or undertaking full-scale data modeling, combining it with dbt offers greater flexibility.

By integrating Fivetran’s robust data extraction and loading capabilities with dbt’s advanced data transformation capabilities, you can build a modern data infrastructure capable of meeting diverse data analysis needs.

QWhat is the difference between activation (reverse ETL) and ETL/ELT?: A
While ETL/ELT (data integration) is a flow that “collects” data from data sources into a DWH, activation (reverse ETL) refers to the reverse flow.
By “returning” data accumulated and organized in the DWH to business tools such as CRMs and advertising platforms, you can immediately turn analysis results into action.
Fivetran enables this bidirectional data flow on a single platform.

QCan Fivetran be integrated with an existing DWH?: A
Yes, it can be deployed in existing DWH environments.
It supports not only major cloud DWHs such as BigQuery and Snowflake but also on-premises environments.
By connecting to your current analytics infrastructure, you can start data integration seamlessly.

QWhat are the key security features of Fivetran?: A
Fivetran is equipped with security measures such as data encryption and access control.
In addition, we have obtained multiple international security certifications, such as SOC 2 and ISO 27001, and meet global security standards through regular audits by third-party organizations.
This means even companies with strict security requirements and data governance standards can implement our solution with confidence.

QWhat is the cost (implementation time and expenses) of implementing Fivetran?: A
Because Fivetran features a simple configuration centered on connector setup, it can be implemented and put into use in a relatively short period of time.
We use a pay-as-you-go pricing model based on the number of data records synced to other systems, allowing you to start small while keeping initial costs low.
We will provide specific details regarding implementation time and costs on a case-by-case basis depending on your requirements.

*The information on this page is current as of April 2026. Please feel free to contact us for the latest information.