Fivetran

Unify, prepare, and activate trusted data so teams can power analytics, operations, and AI with less pipeline management.

Give AI agents trusted business context so they can provide more accurate answers with fewer tokens and tool calls.

Help customers connect their data to your application with managed integrations, authentication, and reliable data pipelines.

Fivetran experts help customers modernize data stacks, accelerate time to value, scale pipelines, and address data security and governance needs.

Fivetran platform

Fivetran is a managed data infrastructure platform that moves, manages, transforms, and activates enterprise data for analytics, operations, and AI workloads. Its prebuilt connectors move data from hundreds of sources to destinations, while automated pipeline maintenance, transformation orchestration, governance controls, and flexible deployment options help teams manage data throughout its lifecycle. The platform supports open-format data lakes, streaming replication, and programmatic integrations. Its capabilities include managed reverse ETL, audience tools, self-service data modeling, and hybrid pipeline execution in a customer’s environment. The Managed Data Lake Service prepares and maintains data in open table formats and supports multiple catalogs and query engines.

Category: Data Integration Software

• Keep Data Portable Across Engines
  Store data in open table formats so downstream services can interoperate with it and customers can reduce vendor lock-in.
• Move Data From Hundreds Of Sources
  Connect a broad range of sources to data destinations using managed pipelines that automate loading, scheduling, schema updates, and recovery from failures.
• Activate Data In Business Applications
  Deliver modeled data to business applications through managed, regularly updated pipelines, with options for prebuilt and custom destinations.
• Control Access And Govern Data Movement
  Apply granular permissions, manage user access, and share pipeline metadata to support data oversight and compliance requirements.
• Run Pipelines In Your Environment
  Choose a deployment approach that keeps sensitive data within your environment while retaining centralized pipeline management and access to Fivetran support.
• Protect Data Across Integration Workflows
  Apply security controls and deployment options designed to protect data and address organizational privacy and compliance requirements.
• Simplify Data Lake Management
  Automate data movement, preparation, and ongoing table maintenance to reduce the operational complexity of managing a data lake.
• Query Data With Multiple Engines
  Let different query and execution engines work with the same lake data so customers can select an engine for each workload.
• Deliver Fresh Data With Low Latency
  Make updated operational and event data available for timely analytics, reporting, and downstream workloads.
• Coordinate Data Loading And Transformation
  Manage loading and transformation workflows together, use prebuilt models to prepare analytics-ready tables, and coordinate dbt and Coalesce workflows with centralized alerts and logs.
• Build And Manage Audiences From Warehouse Data
  Create, test, and optimize audiences without SQL, govern access to audience data, and use AI-powered enrichment to support personalized outreach.
• Generate Dataset Fields With AI
  Add fields to datasets dynamically using supported large language models.
• Model Data For Useful Views
  Enable users with different levels of technical skill to transform data into useful views for activation.
• Monitor Pipeline Health And Data Changes
  Use pipeline metadata, logs, and alerts to investigate issues, understand data movement, and support audits.
• Run dbt Models Over The Lake
  Execute dbt models over lake data using Lake Compute or another compute engine without requiring customers to provision infrastructure for Lake Compute.
• Connect Tables To Data Catalogs
  Use the included Apache Polaris catalog or supported external catalogs to manage and access lake table metadata and transactions.
• Route Lake Traffic Privately
  Keep eligible data lake traffic off the public internet using supported cloud provider networking mechanisms.
• Extend And Manage Pipelines Programmatically
  Connect custom or niche sources and automate pipeline management using APIs, developer tools, and integrations.
• Try Each Connection For 14 Days
  Evaluate a new connection with a 14-day trial that includes a free historical sync.

Fivetran Context Layer

Fivetran Context Layer is a context inference and management service that turns business data and knowledge into context for AI agents. It combines semantic definitions, schemas, metadata, and vector embeddings to help agents interpret business data and provide reliable answers. Teams can manage context in a governed environment, publish it as open tables in their warehouse, and make it available to agents through MCP. The service is in limited public preview.

• Ground AI In Business Context
  Helps agents understand business data and respond with answers informed by the organization’s context.
• Find Answers Across Business Sources
  Connects analytical and written knowledge so agents can draw on context from across business systems when answering questions.
• Clarify What Business Data Means
  Makes business definitions and logic available to agents, helping them use shared meanings when working with enterprise data.
• Connect Agents Through Governed MCP
  Provides agents with a governed way to access context through MCP while using existing access roles.
• Reduce Tokens And Tool Calls
  Provides prepared context for agents to retrieve rather than requiring repeated searches through raw data sources. The product page reports fewer input tokens, faster performance, and fewer tool calls compared with off-the-shelf MCP.
• Explain Data Structures And Relationships
  Provides information about data schemas, metadata, and relationships to help agents interpret enterprise data.
• Retrieve Context From Documents
  Lets agents search indexed document sources for relevant written knowledge alongside information from structured data.
• Expose Context As Open Tables
  Makes context metadata available in the customer’s warehouse as open tables that agents with SQL access can use.
• Review And Correct Agent Context
  Gives teams visibility into concepts, terms, and relationships used by agents so they can approve what is right and correct what is not.
• Build Context In Your Warehouse
  Uses data and metadata already moved by Fivetran to build agent context directly in the warehouse.
• Make Unstructured Data Usable
  Represents unstructured data as knowledge that agents can use when responding to questions.

Powered by Fivetran

Powered by Fivetran embeds Fivetran-managed data pipelines directly into applications and platforms, enabling customers to connect and sync their data. Developers can add hundreds of integrations with three API calls while Fivetran handles pipeline setup, scheduling, authentication, and ongoing data movement. Connect Cards manage customer authentication, and developers can control the data delivered through customizable schemas, including column selection, renaming, and masking.

Category: Data Integration Software

• Embed Customer Data Integrations
  Offer data connections from within your application or platform, helping customers connect and sync their data without requiring you to build and manage the pipelines yourself.
• Simplify Customer Authentication
  Use Connect Cards to let customers securely authorize data access, reducing the need to build authentication flows and manage OAuth maintenance yourself.
• Connect To 700+ Data Sources
  Give customers access to integrations across hundreds of data sources through the connector catalog, supporting a broad range of application data needs.
• Add Integrations With Three API Calls
  Reduce the work needed to offer data integrations in your application: add hundreds of integrations with three API calls while Fivetran handles pipeline setup and scheduling.
• Control Data With Custom Schemas
  Select the data your application needs and use column selection, renaming, or masking to control what lands in the destination database.
• Deliver Fresh Data For Querying
  Move data from connected sources into your database with low latency so application users can query fresh data.
• Monitor Pipeline Runs And Reliability
  View pipeline run progress and status through the dashboard or Fivetran Platform Connector, helping teams identify issues before application users notice.
• Enable Real-Time Event Notifications
  Configure webhooks to listen for key events and support real-time application behavior and notifications.
• Accelerate Development With Sample Code
  Use commented sample code in multiple languages to help developers get started integrating Powered by Fivetran into an application.

Fivetran Professional Services

Fivetran Professional Services provides expert engineering resources and support to help organizations modernize their data stacks and accelerate time to insights. Offerings include Resident Solution Architect engagements, Hybrid Deployment implementation, assisted transformations, custom connector builds, technical training, and custom service packages. Experts can also conduct architectural reviews, recommend and implement best-practice architectures, support data pipeline scaling, and assess governance throughout a project.

• Add Experienced Fivetran Expertise
  Work with a Fivetran Resident Solution Architect as part of the team for a 12-month engagement.
• Implement Hybrid Deployment With Expert Guidance
  Get expert guidance across planning, architecture design, implementation, and optimization of a Hybrid Deployment.
• Improve Data Transformations With Expert Support
  Get support with data modeling and hands-on SQL execution, as well as dbt setup, management, and optimization.
• Connect Sources Without Native Connectors
  Ingest data from sources without a native Fivetran connector through custom-built functions.
• Design And Implement Best-Practice Architectures
  Review data architecture and get best-practice architecture designs, recommendations, and implementation support.
• Write, Troubleshoot, And Deploy Connections
  Get expert technical assistance for writing, troubleshooting, and deploying Connector SDK connections, with support available for up to 60 days at no cost.
• Maintain Connectors Through Production Failures
  Have Fivetran monitor and fix a deployed connector if production failures occur, supporting ongoing data delivery.
• Accelerate Fivetran Team Onboarding
  Use one-on-one, expert-guided hands-on training to help data-delivery teams get onboarded to Fivetran.
• Tailor Services To Data And Analytics Goals
  Design a custom services package around the customer's unique data and analytics goals.
• Scale Data Pipelines With Developer Tools
  Work with the Services team to leverage Fivetran developer tools and manage data pipelines at scale.
• Assess Governance Across The Data Stack
  Evaluate data governance across the project to address control and visibility throughout the data stack.
• Apply Tried-And-Tested Data Methodologies
  Use the team's Fivetran expertise and experience with data practices to avoid mistakes and implement tried-and-tested methodologies.