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Airbyte

Score8 out of 10

4 Reviews and Ratings

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What is Airbyte?

Airbyte is an open-source data integration platform that syncs data from applications, APIs & databases to data warehouses, lakes and other destinations, from the company of the same name in San Francisco. Pricing of the commercial version is based solely on compute time.

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Categories & Use Cases

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Airbyte Key Features

Learn about the best (and worst!) features Airbyte has to offer, as determined by TrustRadius' reviewers.
Based on 4 ratings of Airbyte's features
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Top Performing Features

  • Connect to traditional data sources

    Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

    Category average: 8.8

  • Connecto to Big Data and NoSQL

    Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

    Category average: 7.8

  • Metadata management

    Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

    Category average: 7.9

Areas for Improvement

  • Collaboration

    Collaboration is enabled by a shared repository of project information and metadata

    Category average: 7.4

  • Testing and debugging

    Tool to debug and tune for optimal performance

    Category average: 7.1

Who Buys & Uses Airbyte

Airbyte Reviews

What users are saying about Airbyte.
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Airbyte review

Incentivized
Verified User
Engineer in Engineering (51-200 employees employees)

Use Cases and Deployment Scope

We use Airbyte as our central extract and load tool. It helps us get data from disparate data source into our snowflake environment so that we can then apply transformations and report on it.

Pros

  • Moves data
  • open source
  • connection development
  • Has an expansive catalog of integrated connectors out of the box

Cons

  • Logging can be a bit tricky

Return on Investment

  • Airbyte has allowed us to get away from complex python scripts and allowed us to consolidate to one tool.
  • It's allowed us to cut costs and have better observability on data being moved into our environment

Other Software Used

dbt, ThoughtSpot, GitHub