How Fivetran Solves Database Replication
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Database Analytics
Resources to help you tackle database integration headaches and successfully analyze transactional data.
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Database Analytics Demo
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The Dangers of DIY Database Replication
Database replication for database analytics involves many serious difficulties.
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The Importance of Database Analytics
Use database connectors to uncover insights about your operations.
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Looking for more technical details about connecting your databases? Check out our docs.
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Five Database Integration Use Cases
Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.
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Fivetran History Mode: A New Way to Sync Data
Join Fivetran for an exclusive look into Fivetran History Mode, our feature for tracking type 2 slowly changing dimensions. Whether you’re already familiar with Fivetran History Mode for Salesforce, o
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What Is a Database Schema?
Use schemas to make life easier for your analysts and engineers.
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Want to see our database connectors in action? Request a demo.
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Guide to Effective Transactional Database Analytics
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Fivetran for Databases
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Cars24 Drives Analysis Forward With Fivetran
Pre-owned vehicle ecommerce business replicates MySQL data, saves six engineers over four months of manual work & improves data reliability for analytics teams.
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Fivetran for BigQuery - Database Analytics
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Emery Sapp & Sons Builds Civil Infrastructure, Not Data Pipelines
Growing heavy civil construction business brings on a modern data stack of Fivetran, BigQuery and Looker to gain a competitive edge.
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Pet Circle Improves Customer Experience Through Data
Fivetran integrates MariaDB data into BigQuery, enabling Australia’s largest ecommerce pet store to understand and improve its customer journey.
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Databases Demystified Chapter 1 – Databases and SQL
Learn about the history of databases, important terminology, and different types of databases you might encounter.
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Databases Demystified Chapter 2 – Analytical vs. Transactional Databases
Learn about the differences between databases designed to perform day-to-day operations and those designed for analyzing data.
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Databases Demystified Chapter 3 – Row Store vs. Column Store
Take a closer look at the differences in architecture between row- and column-based databases
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Databases Demystified Chapter 4 – Transactions Part 1
Take a deep dive into transactional databases.
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Databases Demystified Chapter 5 – Transactions Part 2
Learn about the relationship between isolation and concurrency.
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Databases Demystified Chapter 6 – Distributed Databases Part 1
What is the difference between distributed and single-node databases?
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Databases Demystified Chapter 7 – Distributed Databases Part 2
Distributed databases are powerful, but they come with lots of complications.
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Databases Demystified Chapter 8 – Distributed Databases Part 3
What is “consensus,” and what does it have to do with distributed databases?
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