Fivetran is a cloud-based ELT platform that automates data extraction and loading into warehouses like Google BigQuery, Snowflake, and Amazon Redshift. It offers over 300 pre-built connectors for services like Salesforce, Google Analytics, Facebook, and Shopify—eliminating the need for custom code.

Fivetran also supports near real-time database replication and handles data transformation for analysis.

Pros:

  • 300+ pre-built connectors
  • Simple setup and low maintenance
  • Scalable and secure
  • Excellent documentation
  • Near real-time replication

Cons:

  • Relies on DBT for transformations
  • No reverse ETL
  • Complex and costly pricing
  • No pre-load transformations

Summary:

Fivetran is a fast, scalable ELT solution with strong integration and replication features, though it can be expensive and lacks some transformation flexibility.

Here are 10 great alternatives to Fivetran!

Top 10 Alternatives to Fivetran

1. Weld

Weld is a user-friendly data platform that combines ELT, data transformations, and reverse ETL—ideal for small teams seeking a modern, affordable solution for batch and near real-time data integration.

Pros

  • 200+ high-quality, reliable connectors
  • Easy setup and intuitive interface
  • Built-in AI assistant for SQL modeling
  • Transparent, competitive pricing
  • Includes reverse ETL
  • Features for data lineage, scheduling, and orchestration
  • Git-based environments and advanced SQL transformation layer
  • Custom connector support for any public API
  • Supports multiple destinations, including BigQuery, Snowflake, Redshift, PostgreSQL, and more

Cons

  • No native dbt Cloud/Core integration (though dbt-style modeling is supported)
  • ELT only (does not support traditional pre-load ETL workflows)
  • No real-time streaming (batch and near real-time only)

Pricing

Weld offers a 14-day free trial and transparent pricing plans → Book a call to learn more!

2. Airbyte

Airbyte is an open-source data integration platform popular for building modern data stacks. It offers a large library of ELT connectors and supports custom connector development—ideal for teams with strong coding skills. It also integrates well with DBT and SQL workflows.

Pros

  • Open-source and highly customizable
  • Extensive connector library
  • Supports ELT and reverse ETL
  • Easy to deploy, with a managed cloud option
  • Strong community and developer tools

Cons

  • Best suited for technical teams
  • Requires more maintenance
  • Connector quality can vary
  • Heavy reliance on community support

3. Hevo Data

Hevo Data is a no-code platform supporting ETL, ELT, and reverse ETL. It’s ideal for non-technical users looking for a quick, easy setup with a wide range of integrations across tools and data warehouses.

However, it may lack the flexibility and depth needed for more advanced data teams.

Pros

  • Supports ETL, ELT, and reverse ETL
  • User-friendly interface
  • Maintained connectors
  • Good for non-technical users
  • Affordable pricing

Cons

  • Limited features for complex workflows
  • Basic scheduling options
  • Free plan offers only 50 connectors
  • Limited pipeline customization
  • Error handling could be improved

4. Rivery

Rivery is a SaaS ELT platform that simplifies data integration from various sources, including custom APIs, into your data warehouse. While it lacks real-time (on-the-fly) transformations, it supports post-load transformations and reverse ETL.

Pros

  • Custom integrations via GUI
  • Reverse ETL support
  • Python integration
  • Built-in transformation features
  • Strong customer support

Cons

  • No real-time (ETL) transformations
  • Limited error handling
  • Complex pricing
  • UI struggles with complex pipelines
  • Incomplete documentation

5. Portable

Portable is an ELT platform designed for seamless data integration and transformation with a focus on simplicity and speed. It enables businesses to automate data workflows, ensuring easy movement of data across tools and systems without the need for complex coding.

Pros

  • Easy-to-use interface
  • Quick setup with minimal maintenance
  • Supports multiple data sources and destinations
  • Focus on automating and simplifying data workflows

Cons

  • Limited customization options
  • Lacks advanced transformation features
  • Not suitable for highly complex data environments
  • Can become costly as usage scales

6. Stitch Data

Stitch Data, acquired by Talend in 2018, is a cloud-based, developer-focused ELT platform offering no-code connectors and broad compatibility with data sources and destinations. It also supports custom connectors via the Singer open-source framework.

Pros

  • Easy setup and use
  • Clear, usage-based pricing
  • Talend integration
  • JSON-based transformations
  • Fully managed ELT pipelines

Cons

  • Requires technical expertise for full flexibility
  • Connector quality varies
  • Reliance on Singer can lead to stability issues

7. Meltano

Meltano is an open-source data integration platform that helps teams build custom pipelines using connectors for databases, APIs, and logs. It supports data transformation and orchestration, with strong integration with cloud data warehouses and DBT.

Pros

  • Fully open-source
  • Large connector ecosystem via Singer
  • SDK available for building custom taps and targets

Cons

  • No fully managed service (self-hosting required)
  • High maintenance overhead
  • Limited native connectors
  • Relies heavily on DBT for transformations

8. Matillion

Matillion is a powerful ETL/ELT platform designed for enterprises needing advanced data transformation and integration. It offers strong support for cloud and on-premise environments, with native integrations for AWS and scalable deployment options.

Pros

  • Advanced ETL/ELT and transformation features
  • Native integration with AWS services
  • Scalable pricing model
  • On-premise deployment available

Cons

  • Steep learning curve
  • Limited Git integration
  • Documentation could be improved
  • Pricing may be high for smaller teams

9. AWS Glue

AWS Glue is a fully managed ETL service from Amazon Web Services that enables businesses to prepare and transform data for analytics. It integrates seamlessly with other AWS services and automates much of the data integration pipeline, reducing the need for manual coding.

Pros

  • Fully managed service with automated data preparation
  • Native integration with AWS ecosystem
  • Scalable and cost-effective
  • Supports both batch and real-time data processing

Cons

  • Steep learning curve for new users
  • Requires familiarity with AWS services and configurations
  • Limited out-of-the-box transformations compared to other tools
  • Complex pricing model based on data usage

10. Segment

Segment, acquired by Twilio in 2020, is a Customer Data Platform (CDP) focused on real-time event tracking and customer data management. It enables businesses to create personas, audiences, and targeted segments using pre-built integrations with popular tools.

Pros

  • Real-time data integration
  • Pre-built, maintained connectors
  • Powerful customer data management features
  • Easy to set up and use

Cons

  • Expensive at scale
  • Limited to customer data and event tracking use cases
  • Not designed for general ELT workflows
  • Struggles with historical data ingestion
  • Geared heavily toward sales and marketing platforms
  • Limited customization and complex custom integrations