ELT & Transformation
Raw data is loaded directly into the target system and transformed there, with seamless integration into dbt Core and dbt Cloud.
Fivetran Automated Data Integration for the Modern Data Stack
Fivetran is a cloud native ELT platform for automated data integration. It connects data sources and target systems with no manual development effort, using ready to use connectors, automatic schema handling and support for modern data formats such as Apache Iceberg or Delta Lake. This makes Fivetran a central component of the modern data stack.
How We Support You with Fivetran
Beyond its strategic advantages, Fivetran stands out through a comprehensive set of capabilities that make data integration efficient, secure and future-proof. As a certified Fivetran partner, we support you in getting the most out of the platform, from the initial implementation through to ongoing operations.
Change Data Capture (CDC)
Continuous synchronisation of operational systems enables near real-time analytics. This approach is ideal for structured data sources and large data volumes.
Automated API Integration
Reliable data delivery using a micro-batch approach, ideal for SaaS applications with frequent updates.
Streaming Connectors
Support for event-driven use cases and machine learning with Kafka, Event Hubs or Pub/Sub.
Governance & Security
Role-based access control, audit logs and encryption to ensure compliance and data protection.
Flexible Deployment Scenarios
Support for a wide range of cloud environments and operating models, making it ideal for hybrid and scalable data architectures.
Getting Started with Fivetran
Whether you are looking for initial guidance or a deeper analysis, we support you in getting off to the best possible start with Fivetran.
Fivetran Quick Check
With the Fivetran Quick Check, you gain a clear overview of your data integration landscape in a short amount of time. We review your existing data sources and target systems, show how Fivetran can be applied, and identify quick wins for rapid optimisation. This is ideal for organisations that want fast transparency and a clear understanding of how Fivetran fits into their modern data stack.
Fivetran Architecture Assessment
In the Fivetran Architecture Assessment, we design a scalable and future-ready data architecture tailored to your needs. Based on a detailed analysis, we define a target architecture that takes ELT approaches, change data capture, data quality and governance into account. The result is a clear roadmap for using Fivetran, from initial proof-of-concepts to a fully productive enterprise setup.
Fivetran Quick Check
With the Fivetran Quick Check, you gain a clear overview of your data integration landscape in a short amount of time. We review your existing data sources and target systems, show how Fivetran can be applied, and identify quick wins for rapid optimisation. This is ideal for organisations that want fast transparency and a clear understanding of how Fivetran fits into their modern data stack.
Fivetran Architecture Assessment
In the Fivetran Architecture Assessment, we design a scalable and future-ready data architecture tailored to your needs. Based on a detailed analysis, we define a target architecture that takes ELT approaches, change data capture, data quality and governance into account. The result is a clear roadmap for using Fivetran, from initial proof-of-concepts to a fully productive enterprise setup.
Typical Fivetran Use Cases for Data Integration in the Modern Data Stack
Fivetran is used across a wide range of scenarios and helps organisations integrate data efficiently and turn it into value. The following use cases highlight common applications within the modern data stack.
SaaS Data Integration
Centralised Data Collection from SaaS Applications
Connect applications such as Salesforce, HubSpot or NetSuite to bring customer data, marketing data and financial information together in a single place.
Cloud DWH Integration
Replication of Operational Databases
Transfer data from operational systems directly into a cloud data warehouse or lakehouse, such as Snowflake, Databricks or BigQuery.
Event Streaming
Event Streaming for Real-Time Analytics
Use streaming connectors to enable near real-time analytics or machine learning models based on continuous data streams.
Data Harmonisation
Harmonising Data Silos
Bringing together marketing, sales and ERP data to enable consistent reporting and a unified view of the organisation.
Integrating Fivetran into the Modern Data Stack
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FAQs
No. Fivetran is largely zero-maintenance – only initial setup and monitoring are required.
Yes. In addition to batch ELT, Fivetran offers CDC and streaming connectors for near real-time use cases.
Yes. Transformations can be directly embedded in Fivetran jobs and executed using dbt.