Fivetran is an automated data movement software company focused on helping organizations securely move, manage, and transform data for analytics, operations, and AI. Its platform is built around automation, with managed pipelines that ingest data from SaaS applications, databases, ERPs, event streams, and files into cloud destinations and business applications.
Fivetran positions its offering as one interoperable platform for data movement, management, and transformation. The platform emphasizes reliability, scale, and low operational overhead, including automated handling of schema changes and support for both warehouse and lake-centric architectures. It also extends beyond ingestion into transformation and activation workflows so teams can operationalize trusted data across the business.
Offerings, Capabilities, and Integrations
Fivetran’s capabilities center on automated, managed data pipelines that move data from hundreds of source systems into cloud warehouses, lakes, and operational destinations. The platform supports SaaS applications, databases, ERP systems, files, and event streams, and it is designed to reduce manual pipeline upkeep through managed replication and automated schema management.
Beyond core movement, Fivetran supports open table formats for lake architectures, SQL-based transformation workflows, governed activation into business tools, and deployment options for secure or controlled environments. Its broader enterprise controls include role-based access control, data blocking and column hashing, customer-managed keys, and private networking across AWS, Azure, and Google Cloud environments.
Products and Services
- Connectors: Pre-built connectors that automatically sync data from applications, databases, event streams, and files into supported destinations, with a catalog spanning 700+ sources.
- Fivetran Activations: A managed reverse ETL product that syncs modeled data from a warehouse or lake into business applications so teams can operationalize analytics in downstream tools.
- Transformations: SQL-based transformation capabilities that run in the destination on a schedule, turning normalized raw data into analytics-ready datasets.
- Managed Data Lake Service: A managed service that loads data into Amazon S3, Azure Data Lake Storage, and Google Cloud Storage using open table formats such as Apache Iceberg and Delta Lake, while handling normalization, compaction, deduplication, and table maintenance.
- Hybrid Deployment: A deployment model that lets organizations run supported pipelines while keeping data within a cloud or on-premises security perimeter. It supports local deployment patterns such as Docker, Kubernetes, and Podman for qualifying connectors and destinations.
- Connector SDK: A Python-based framework for building custom connectors for proprietary or unsupported sources and deploying them on Fivetran infrastructure or in hybrid environments.
- Quickstart data models: Pre-built dbt-compatible data models that convert synced connector data into analytics-ready tables directly through the Fivetran dashboard or a dbt project.
- Private Networking: Secure connectivity options that allow data syncs without exposing traffic to the public internet, including AWS PrivateLink, Azure Private Link, and Google Cloud Private Service Connect.
Target Customers
Fivetran serves organizations ranging from startups to Fortune 500 enterprises. Its platform is aimed at teams that need dependable access to centralized data for AI applications, machine learning, predictive analytics, reporting, and operational workloads, especially where data is spread across many systems.
The company appears particularly well aligned to enterprise and digitally mature mid-market data teams across industries such as retail and CPG, manufacturing, financial services, healthcare, and technology. It also supports business functions beyond central data teams, with use cases spanning marketing, finance, sales, support, HR, and product analytics.
Cloud Integrations and Marketplace
- AWS Marketplace: Fivetran has an AWS Marketplace listing for its data movement platform and positions AWS as a key deployment ecosystem, with support for destinations and services such as Amazon Redshift, Amazon S3, Athena, and Snowflake on AWS.
- Azure Marketplace: Fivetran offers Azure Marketplace procurement and promotes Microsoft Azure as a strategic cloud environment, including integrations highlighted with Azure Synapse, Azure Data Lake Storage, and broader Microsoft Azure data services.
- Google Cloud Marketplace: Fivetran supports procurement through Google Cloud Marketplace and emphasizes deep alignment with Google Cloud, particularly for loading and optimizing data movement into BigQuery.
Key People
- George Fraser: Chief Executive Officer
- Taylor Brown: Chief Operations Officer
- Suresh Seshadri: Chief Financial Officer
- Anjan Kundavaram: Chief Product Officer
- Scott Jones: Chief Revenue Officer
- Monica Ohara: Chief Marketing Officer
- Anand Mehta: Chief People Officer
- Simon Quinton: General Manager, EMEA
- Mihika Verma: Vice President, Enterprise Sales
- Logan Welley: Vice President, Global Alliances
Key Facts
- Headquarters: Oakland, California, United States
- Employees: Approximately 1,800
- Annual Revenue: US$300M+ ARR
- Parent Company: None
- Subsidiaries: HVR, Census (now Fivetran Activations), Tobiko Data
- Publicly Listed: No (privately held)
Analyst Recognitions
- Gartner: Challenger in the 2025 Gartner Magic Quadrant for Data Integration Tools.
- Forrester: Strong Performer in The Forrester Wave: Cloud Data Pipelines, Q4 2023.
