Fivetran

Oakland, CA, USA
2012
Nov 28, 2022   |  By Nick Acosta
Just one pre-written line of code for each data source is all that is needed to orchestrate automated data ingestion effectively.
Nov 21, 2022   |  By Fivetran
IDC research shows that automated data movement enables organizations to improve insights and derive more value from cloud data warehouses and lakes.
Nov 16, 2022   |  By Charles Wang
Command and control your data with our new ultimate guide.
Nov 15, 2022   |  By Fivetran
Database replication involves storing copies of a database in different locations. Learn how it works and how to get started.
Nov 3, 2022   |  By Yoni Hazan
Managers of data teams add value through alignment. Learn the essential criteria for evaluating the success of data team managers.
Nov 1, 2022   |  By Andy Ellman
Manufacturers are transforming their supply chain with Fivetran's automated and scalable real-time data movement.
Oct 26, 2022   |  By Fraser Harris
The key to Extract-Load then Transform (ELT) is that the data is landed in a normalized schema. Why? Correctness, flexibility and understandability.
Oct 24, 2022   |  By Amit Kapadia
Organizations are improving the quality of their marketing analytics at less cost, which is translating into more overall marketing efficiency – all by adopting the modern data stack.
Oct 18, 2022   |  By Jamie Rodriguez
Integration between Fivetran and dbt Semantic Layer lets you enhance data models with rich metric definitions and derive value from data quicker and easier.
Oct 17, 2022   |  By Alex Hauer
Transforming your data is an essential part of ELT. Learn how Fivetran’s Wizard for dbt Core™ and BigQuery can help.
Nov 1, 2022   |  By Fivetran
Learn how to easily set up your NetSuite SuiteAnalytics connector using the NetSuite2.com data source.
Oct 17, 2022   |  By Fivetran
The Denver Broncos are tapping into the #moderndatastack to score a touchdown in fan engagement. With the help of Fivetran, the team efficiently centralizes massive data from CRM, Qualtrics and many other sources into Snowflake — unlocking a 360-degree view of their fans and a winning fan experience.
Oct 15, 2022   |  By Fivetran
Our newest Visual Studio Code extension, Wizard for dbt Core™️, helps data analysts create data models in dbt more easily. In this quick demo, you'll learn about 5 new features, including error highlighting, autocompletion, query compiling and more.
Jul 9, 2022   |  By Fivetran
Orchestrate, automate and simplify your data workflows — all from your Fivetran dashboard. Watch our demo to learn how Fivetran Transformations for dbt Core can accelerate your time to insight and make your data pipelines and teams more performant.
Jun 15, 2022   |  By Fivetran

#Bigdata has been revolutionizing the #airline industry. With the help of a #moderndatastack, JetBlue, one of the largest airlines in North America, is reimagining what’s possible with real-time data.

May 26, 2022   |  By Fivetran
Never over permission users again! Create teams in Fivetran to scale permissions, and limit access down to a connector level.
May 6, 2022   |  By Fivetran
Will starships carry #lakehouses? Can the 48-year-old SQL still get the job done? Will #datagovernance finally see a revolution? Fivetran CEO George Fraser caught up over coffee with Ali Ghodsi, CEO of #Databricks, and Bob Muglia, Fivetran Board Member and former CEO of #Snowflake, to imagine a new world forged around the #moderndatastack.
Mar 9, 2022   |  By Fivetran
Data plays a crucial role in customer success. Blend's Sebastian Joll (Revenue Operations Leader) and William Tsu (Analytics Engineer, Revenue Operations) share how automating their data stack with Fivetran allows them to provide powerful, business-wide analysis.
Sep 8, 2021   |  By Fivetran
Quickly see how you can set up Fivetran Transformations with dbt to modernize your data stack and accelerate analytics.
Jul 8, 2021   |  By Fivetran
At the Modern Data Stack EMEA Conference, Nas Radev, CEO of Infinite Lambda, reasons a company should consider implementing a new data stack and covers decision criteria and more that decision leaders need to know.

Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into your data warehouse. Our integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems.

Focus on analytics, not engineering. Our prebuilt connectors deliver analysis-ready schemas and adapt to source changes automatically.

Keep your team focused on analysis:

  • Prebuilt connectors: Centralize your operational data in minutes with 150+ zero-configuration connectors.
  • Ready-to-query schemas: Use thoughtful, research-driven schemas and ERDs for all your sources.
  • Automated schema migrations: Save resources with connectors that automatically adapt to schema and API changes.
  • Fully managed data integration: Reduce technical debt with scalable connectors managed from source to destination.
  • SQL-based transformations: Model your business logic in any destination using SQL, the industry standard.
  • Incremental batch updates: Change data capture delivers incremental updates for all your sources.

Simple, reliable data integration for analytics teams.