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Aug 5, 2020   |  By Kristin Bagnall
Our new dbt package will help you make sense of Stripe’s detailed API and improve your finance analytics.
Aug 3, 2020   |  By Ian Woods
As one of our senior engineers explains, it took years of hard work and incremental progress.
Jul 31, 2020   |  By Ciara Rafferty
With Fivetran, Snowflake and dbt, Autodesk Construction Services builds a uniform data architecture for its many acquisitions.
Jul 31, 2020   |  By Jason Harris
Let's explore why data automation is the bridge between enterprise analysts and IT/Engineering departments.
Jul 28, 2020   |  By Kristin Bagnall
Use our dbt package for HubSpot to build your sales and marketing dashboards.
Jul 28, 2020   |  By Daniel Haville
Learn why ELT is better than ETL and how you can get started with it.
Jul 20, 2020   |  By Ciara Rafferty
With Fivetran, Intercom centralizes its Zuora data into Redshift and joins it with product, marketing, sales and additional financial data for reports and dashboards.
Jul 17, 2020   |  By Alexa Maturana-Lowe
How can you avoid wasting engineering cycles around data pipeline creation and maintenance? Answer: Powered By Fivetran
Jul 16, 2020   |  By Drew Thomas
No-code is growing quickly. More and more people from all roles and departments are using a wide range of new tools and apps to build and experiment without fighting for engineering resources. This creates amazing opportunities for growth, but it also means data teams have to integrate data from ever-more sources to get a full picture of their business’s operations.
Jul 15, 2020   |  By Garegin Ordyan
Fivetran is the industry leader of fully managed data integration from lots of different sources to your data warehouse. There are hundreds of popular sources, like Salesforce, Zendesk, NetSuite, and more, for which Fivetran has fully managed, prebuilt connectors that can deliver your data to your warehouse within literal minutes. However, people often struggle to get data from more obscure sources since most data integration tools focus on what is popular.
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.
Jun 21, 2020   |  By Fivetran
Integrate your MySQL database with popular data warehouses such as BigQuery, Snowflake, Redshift, or Delta Lake by Databricks.
Jun 21, 2020   |  By Fivetran
Integrate your Google Sheets with your relational database or popular data warehouses like BigQuery, Redshift, or Snowflake.
Jun 18, 2020   |  By Fivetran
In this episode of Michael Kaminksy's Databases Demystified, he explores: What does “consensus” mean and why is it important? Learn about the two-generals problem and what it teaches us about reaching consensus Learn about the main consensus algorithms in distributed databases: Raft & Paxos
Jun 15, 2020   |  By Fivetran
In the first episode of Databases Demystified with Michael Kaminsky, we give a high-level overview of the most important concepts in databases. We start with a brief history of databases going from the invention of relational databases through present day and we talk about the differences between analytical and transactional databases, distributed and single-node databases, and in-memory vs on-disk databases We finish up talking briefly about SQL and what makes it special.

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.