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How can your organization ensure data access and transparency? Measure yourself against this model, courtesy of our partners at Slalom.
Oct 17, 2020   |  By Jamie Rodriguez
Our latest dbt (data build tool) package helps accelerate your Mixpanel event analytics.
Oct 15, 2020   |  By Jason Harris
Through automated data pipelines, analysts can access the data they need and engineering teams can complete higher-value projects.
Oct 15, 2020   |  By Brandon Chen
Looking for a Segment and Fivetran comparison? This article covers some fundamental differences between a specialized data integration tool and a customer data platform.
Oct 14, 2020   |  By Jason Harris
In a Slack discussion, the two CEOs explain why the Fivetran-dbt integration is great for data analytics engineering enthusiasts. After the recent launch of Fivetran dbt Transformations, both the Fivetran and Fishtown Analytics teams received questions about the newly available feature. (Fishtown is the team behind dbt.) Fivetran CEO George Fraser and Fishtown Analytics CEO Tristan Handy addressed those questions on Slack, and discussed the harmonious relationship between the two companies.
Oct 14, 2020   |  By Ciara Rafferty
Growing heavy civil construction business brings on a modern data stack of Fivetran, BigQuery and Looker to gain a competitive edge. Want to hear more from Emery Sapp & Son's Clayton Hicklin? Join him and a number of other incredible data professionals at the 2020 Modern Data Stack Conference October 21-22. Register here.
Oct 8, 2020   |  By Ciara Rafferty
Data scientists and engineers at the online data science education platform focus on attribution, customer lifetime value and the ideal customer profile.
Oct 8, 2020   |  By Charles Wang
This is the introduction to the Fivetran Architecture Academy series, in which we discuss the technological principles underlying how Fivetran works. Fivetran is at the forefront of automated data integration. Specifically, we believe that extracting, loading and transforming data should be effortless and involve a minimum of human intervention. This is reflected in the design philosophy of our automated data pipeline.
Oct 8, 2020   |  By Jason Harris
Make enterprise data more accurate, and instantly actionable, by adding automated data integration to your stack. Today’s enterprises and medium-sized companies are looking to ensure that critical business decisions are guided by rigorous data analysis. They have scaled up their analytics teams (composed of data engineers, data scientists and data analysts), and their IT departments have tried to meet the needs of those teams.
Oct 7, 2020   |  By Michael Kaminsky
Automated data integration can help you jumpstart your machine learning efforts. Learn about the modern data science stack. It’s an oft-cited factoid that data scientists spend only 20% of their time doing actual data science work, while the rest of their time is spent on doing what is often delightfully referred to as “data munging” — that is, obtaining, cleaning, and preparing data for analysis.
Oct 20, 2020   |  By Fivetran
It's never been easier to use dbt and Fivetran together. Follow this guide to learn how to set up dbt on your computer.
Sep 22, 2020   |  By Fivetran
In this lesson, we talk about what a query planner is and does in the database. We talk about the difference between declarative and imperative programming languages, and we wrap up with a discussion of some common strategies for database optimization to improve query speed.
Sep 1, 2020   |  By Fivetran
In this episode, we learn about a very important technique for making database queries faster: indexes! Indexes are a very powerful technique and are critical to understanding how databases work under the hood. In this lesson we talk about how database indexes make use of the binary search algorithm to speed up queries. We also cover the trade-offs associated with using database indexes, and why it might not be a good idea to use too many indexes.
Aug 11, 2020   |  By Fivetran
Fivetran’s mission to to make data as accessible and reliable as electricity. We're focused on providing automated access to data so data analysts and engineers can be empowered to actually analyze their data. For small companies and large enterprises, Fivetran replicates data from 150+ sources to enable business intelligence and data-driven decisions alongside our partner companies. Learn more at
Jul 20, 2020   |  By Fivetran
Jun 30, 2020   |  By Fivetran
Consolidate your SQL Server data into your analytics warehouse.
Jun 30, 2020   |  By Fivetran
Consolidate your Postgres data into your analytics warehouse!
Jun 30, 2020   |  By Fivetran
Understand how your videos are performing to create engaging content.
Jun 30, 2020   |  By Fivetran
Consolidate your disparate files from S3 into your analytics warehouse.

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.