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Fivetran vs Google BigQuery: What are the differences?

## Introduction

Key differences between Fivetran and Google BigQuery:

1. **Data Integration vs. Data Warehouse**: Fivetran is a data integration tool that helps in extracting data from different sources, transforming it, and loading it into a destination of choice, while Google BigQuery is a data warehouse solution that allows for querying and analyzing data stored in it.
2. **Automated Data Pipelines vs. Query Execution**: Fivetran focuses on automating data pipelines by handling data extraction, transformation, and loading processes, making it easier for users to manage their data integration tasks, whereas Google BigQuery specializes in executing SQL queries on large datasets for analytics and reporting purposes.
3. **Pricing Model**: Fivetran typically charges based on the number of data connectors being used and the volume of data being processed, offering a straightforward pricing structure, while Google BigQuery charges based on the amount of data processed during queries and storage usage, providing a pay-as-you-go model for flexibility.
4. **Ease of Use**: Fivetran is known for its user-friendly interface and simple setup process, enabling users to quickly start extracting and syncing data without much technical expertise required, whereas Google BigQuery requires a deeper knowledge of SQL and data modeling to effectively utilize its features.
5. **Managed vs. Self-Managed**: Fivetran provides a fully managed service, handling all aspects of data integration and maintenance, reducing the need for manual interventions, while Google BigQuery is a self-managed platform where users have more control over data storage, partitioning, and optimization.
6. **Scalability**: Google BigQuery is designed to scale horizontally to handle vast amounts of data storage and queries efficiently, making it suitable for large enterprises with big data needs, whereas Fivetran is more focused on simplifying data integration tasks for small to medium-sized businesses.

In Summary, Fivetran and Google BigQuery serve distinct purposes in the data management landscape, with Fivetran specializing in data integration and automation, while Google BigQuery excels in data warehousing and query execution.
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Pros of Fivetran
Pros of Google BigQuery
    Be the first to leave a pro
    • 28
      High Performance
    • 25
      Easy to use
    • 22
      Fully managed service
    • 19
      Cheap Pricing
    • 16
      Process hundreds of GB in seconds
    • 12
      Big Data
    • 11
      Full table scans in seconds, no indexes needed
    • 8
      Always on, no per-hour costs
    • 6
      Good combination with fluentd
    • 4
      Machine learning
    • 1
      Easy to manage
    • 0
      Easy to learn

    Sign up to add or upvote prosMake informed product decisions

    Cons of Fivetran
    Cons of Google BigQuery
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      • 1
        You can't unit test changes in BQ data
      • 0
        Sdas

      Sign up to add or upvote consMake informed product decisions

      What is Fivetran?

      It helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.

      What is Google BigQuery?

      Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

      Need advice about which tool to choose?Ask the StackShare community!

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      What companies use Fivetran?
      What companies use Google BigQuery?
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      What tools integrate with Fivetran?
      What tools integrate with Google BigQuery?

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      What are some alternatives to Fivetran and Google BigQuery?
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