10 Best Google Analytics ETL Tools for 2025

Google Analytics is one of the most widely used web analytics platforms for businesses working to understand web traffic trends. Google Analytics integrates with many other business applications and data sources, but for some organizations, these integrations are difficult to set up for more complex platforms like data warehouses and lakes.

Fortunately, a number of leading data integration and ETL companies offer accessible connectors, tools, and support specific to Google Analytics integrations.

We'll cover some of the best Google Analytics ETL tools in our guide, but before we dive in, here are the key things to know about ETL tools for Google Analytics:

• While you can custom-code ETL, these ETL tools make it easier to get quick and error-free integration results.
• Most Google Analytics ETL providers offer detailed documentation for easier setup.
• Tools like Integrate.io not only offer connectors and clear use cases for Google Analytics ETL but also have a deep library of low-code business integrations.
• If you've never worked on an ETL project before, look for an ETL vendor with highly-rated customer support.
• Using an ETL tool with Google Analytics is the best way to ensure web traffic data is accurately factored into big data stores and broader analytics projects.

What Are Google Analytics ETL Tools?

Google Analytics ETL tools are extract, transform, and load (ETL) platforms that offer connectors and support for smoother Google integration and data unification projects. With the help of an effective Google Analytics ETL tool, users can easily connect web traffic data to data warehouses, lakes, and other big-data storage systems, making it possible to more easily interpret and integrate GA data into greater analytical initiatives and business predictions.

How to Evaluate Google Analytics ETL Tools

Choosing the best ETL tool for Google Analytics data integration projects can be a difficult task. To help your team more effectively evaluate your options, here are the key things to consider:

Key Features

You shouldn't select an ETL tool that doesn't include prebuilt features that support Google Analytics ETL projects. For the best possible results, look for tools that natively offer Google Analytics connector(s), documentation, and a range of relevant third-party application integrations.

Ease of Use

ETL platforms should make the integration process more straightforward, regardless of data source or destination. Look for low-code/no-code interfaces, extensive documentation that focuses on setup and troubleshooting, and a top-tier customer support structure.

Pricing

ETL tools can quickly get pricey, especially when working with larger data quantities. Pay close attention to different pricing tiers among GA ETL competitors and consider in advance what you're willing to pay.

What are the top ETL platforms for transforming Google Analytics data into insights?

Integrate.io, Fivetran, and Hevo Data are leading ETL platforms for turning Google Analytics data into actionable insights. Integrate.io offers native Google Analytics connectors and a low-code interface to extract, clean, and transform data before loading it into warehouses like Snowflake, BigQuery, or Redshift. It supports automated scheduling, real-time sync, and in-pipeline transformations, making it easy for marketing and analytics teams to unify Google Analytics data with other sources for comprehensive reporting and performance optimization.

1. Integrate.io

Rating: 4.3/5 (G2)

Key Features:

• Low-code/no-code ETL, reverse ETL, and ELT
• CDC and data observability
• Hundreds of prebuilt data connectors
• API generation capabilities
• 24/7 customer support

Integrate.io stands out as a leading ETL platform for transforming Google Analytics data into insights. The platform specifically offers connectors and support for Google Analytics ETL. While users most commonly connect GA to Google BigQuery, Snowflake, MySQL, and Amazon Redshift, dozens of other business application connectors are also available. Many buyers ultimately select Integrate.io for its ease of use and its accessible and professional approach to customer support.

Pros:

• Intuitive low‑code drag‑and‑drop interface

• Supports real-time and scheduled ETL/ELT workflows

• API generation and webhook support

Cons:

• Documentation lacks depth for complex scenarios

• Limited advanced transformation features

• Debugging and error visibility could improve

Pricing:

• Free tier with basic limits (e.g., limited records and scheduling)

• Paid plans are usage-based; detailed pricing via vendor

2. Stitch

Rating: 4.5/5 (G2)

Key Features:

• Data warehouse replication
• Developer-friendly interface and reports
• Standard and Stitch-certified data sources
• Singer open-source framework for data extraction
• Anchor and advanced scheduling for replication

Stitch, now owned by Talend, is a leading ETL service provider that focuses on the needs of developers, offering an extensible REST API and user access to the Singer project for open-source data extraction. For Google Analytics in particular, Stitch can integrate GA data into a variety of data warehouse environments.

Pros:

• Easy to set up and use

• Lightweight, streamlined interface for data replication

• Broad connector library

Cons:

• Minimal transformation support

• Basic logging and monitoring features

Pricing:

• Free plan for lightweight use

• Tiered paid plans; vendor provides details

3. Hevo Data

Rating: 4.3/5 (G2)

Key Features:

• Cross-channel data unification
• No-code interface
• Native integrations for data warehouses and BI tools
• Automated error flagging and resolution
• Compliance-driven data encryption

Hevo Data is a leading ETL and no-code data pipeline that users select for its balance of robust features, data security and compliance, and ease of use. Customers are particularly impressed with the smooth integration Hevo offers between GA and Google BigQuery as well as the speed with which GA can be integrated with data stores and other Google tools.

Hevo Data is available in a free tier plan that includes 1 million events and more than 50 free connector options, including Google Analytics 360.

Pros:

• Strong real-time data streaming and transformations

• No-code interface with prebuilt connectors

• Offers transformations before loading

Cons:

• Higher cost compared to open-source alternatives

• Less flexible for heavily customized pipelines

Pricing:

• Free tier available for limited usage

• Paid tiers are usage-based and available on request

4. Talend Open Studio

Rating: 4.4/5 (G2)

Key Features:

• Graphical data profiles
• Open source
• Flexible integrations
• Data pipeline building
• File management

Talend Open Studio is a free, open-source version of the Talend platform that supports customizable ETL projects. While the tool does not necessarily have Google Analytics connectors or data sources natively, it is designed to give developers the freedom to set up their own connections to whatever tools they use most.

Open Studio is free to use; users also have the option to upgrade to Talend Cloud if they need more resources later.

Pros:

• Fully open-source and free

• Flexible, with Java-based customization

• Good for data transformation and integration

Cons:

• Resource-intensive and steep learning curve

• Less suited for real-time and cloud-native use

Pricing:

• Completely free (open-source)

• Paid Talend enterprise versions available separately

5. Fivetran

Rating: 4.2/5 (G2)

Key Features:

• More than 300 prebuilt connectors
• No-code interface
• Reporting-layer API connection
• Two-day rollback data sync
• Prebuilt and custom schema reports

Fivetran is an efficient ETL platform that many users choose for its reliable data syncs, high data replication speeds, and range of data connectors. For Google Analytics, Fivetran has a dedicated connector with connector docs, multiple cloud-based destination options, and a no-code interface.

Fivetran is available in several plan options, including the Free plan that works for users who need Standard plan features for a smaller data quantity.

Pros:

• Fully managed pipelines with minimal maintenance

• Wide connector support

• Reliable and scalable performance

Cons:

• Relatively high pricing

• Limited customization of pipeline behavior

Pricing:

• 14-day free trial

• Usage-based pricing (e.g., Monthly Active Rows)

• Enterprise pricing via vendor

6. Airbyte

Rating: 4.5/5 (G2)

Key Features:

• Open-source ELT
• More than 350 data connectors
• Connector Development Kit
• Self-hosting and cloud-hosting options
• Database and API replication

Airbyte focuses more on ELT than ETL, however, it offers many features and functions that lend it to Google Analytics integration projects. Most significantly, Airbyte provides users with more than 350 data connectors, which is more than most competitors in this market. Users can also benefit from a self-service connector development kit if they can't find what they need.

Airbyte is available in three different formats: Airbyte Cloud, Airbyte Self-Managed, and Powered by Airbyte.

Pros:

• Open-source with an extensive and growing connector library

• Custom connector support via CDK

• Community editions and cloud-hosted options

Cons:

• Requires more technical setup than SaaS tools

• Documentation and error tracing still improving

Pricing:

• Free, self-hosted edition

• Cloud-managed version with pay-as-you-go plans

7. Panoply

Rating: 4.5/5 (G2)

Key Features:

• Google Analytics Snap Connector
• SQL workbench
• BI tool and data warehouse connectors
• Embedded graphs and charts
• Automated data type detection

Panoply is a cloud data platform with connectors and SQL management features for a number of popular business tools, including Google Analytics. Users often select Panoply for its user-friendly interface, easy-to-use data controls, and automations.

Pros:

• All-in-one data warehouse, ingestion, and modeling platform

• Auto-scaling cloud warehousing

• SQL and no-code access

Cons:

• Can be pricey

• Less control over underlying infrastructure

Pricing:

• Tiered pricing based on data storage volume and usage

• Custom quotes for enterprise deployments

8. Analytics Canvas

Rating: 4.6/5 (G2)

Key Features:

• GA4 BigQuery SQL connector, builder, and generator
• No-code workflow builder
• Connectors for Google Analytics 4, Universal Analytics, and Google Analytics 360
• Data source blending
• Google Analytics data backup support

Analytics Canvas is a data management platform that specializes in connectors, APIs, and ETL tools for different versions of Google Analytics. Many users select this tool for its detailed documentation and its GA4 BigQuery connector. 

Pros:

• Strong visual ETL and analytics interface

• Integrates Excel-based workflows with enterprise data pipelines

Cons:

• Primarily for Excel users, not designed for complex pipelines

• Desktop-based, limiting scalability

Pricing:

• Desktop version with one-time purchase (around $499–$999)

• Server versions available via licensing

9. Skyvia

Rating: 4.8/5 (G2)

Key Features:

• ETL, ELT, and reverse ETL
• No-code pipeline building
• REST API access
• Integration scheduling
• On-premises integration capabilities

Skyvia is a no-code platform that supports ETL, ELT, and reverse ETL for Google Analytics. Users can benefit from the platform's many prebuilt connectors for GA that span across BI, data warehouses, and other business and marketing applications. A free version of Skyvia is available.

Pros:

• User-friendly no-code interface

• Affordable pricing, especially for small-to-mid workloads

• Offers data integration, backup, and query services

Cons:

• Not ideal for complex enterprise-scale workflows

• Limited advanced transformation capabilities

Pricing:

• Free edition with basic features

• Paid plans priced per integration and data volume

10. Zuar Runner

Rating: --/5 (G2)

Key Features:

• Automated data pipeline
• Full Google Analytics dataset access
• Table-building for advanced analytics
• ETL and ELT
• JSON-credentials-based authentication

Zuar Runner is an ELT and ETL solution that users frequently select for its data staging and visualization capabilities. It's also a strong option for Google Analytics users who need to set up on-premises data integrations. 

Pros:

• Scriptable data orchestration for pipelines and workflows

• Supports automation and CLI-based processing

Cons:

• Requires technical skill (non–low-code)

• Smaller community and less documentation

Pricing:

• Typically subscription-based; pricing provided upon request

Comparison of Best Google Analytics ETL Tools

Integrate.io: Unlock the Power of Data

Compared to many other Google Analytics ETL providers, Integrate.io focuses heavily on the customer experience, ensuring low-code/no-code self-service features, detailed webinars and documentation, and 24/7 hands-on customer support are available to all users at all stages of Google Analytics ETL.

Interested in learning more? Book a demo with Integrate.io today.

Integrate.io Google Analytics ETL Tool FAQs

What is an ETL Tool?

An Extract, Transform, Load (ETL) tool is a software solution designed to facilitate the extraction, transformation, and loading of data from various sources into a unified destination. It benefits your data processes by automating these tasks, ensuring data accuracy, and enabling seamless integration and analysis across different data sources.

How do ETL Tools Integrate with Various Data Sources?

ETL tools connect with different data sources through various connectors or APIs, enabling the extraction and transformation of a wide range of data types. This data can include structured and unstructured data, databases, cloud storage, and more, making ETL tools versatile for a variety of data integration and analysis needs.

What are the Key Features to Consider When Selecting an ETL Tool?

When choosing an ETL tool for data integration and analysis, consider features such as data transformation capabilities, data source connectivity, automation options, scalability, and monitoring and reporting tools. These features are important for optimizing data processes and gaining valuable insights from your integrated data.

Which ETL tools automate data extraction from Google Analytics?

• Integrate.io provides a streamlined connector for Google Analytics with low-code pipeline setup and orchestration.

• Hevo Data supports near real-time, automated loading of GA data into destinations like BigQuery, Redshift, and Snowflake with no coding.

• Skyvia enables automated GA data movement into cloud or on-premise databases through a universal, no-code platform.

• Airbyte (Open Source & Cloud) includes a Google Analytics connector usable in customizable self-hosted or cloud workflows.

• Supermetrics offers a straightforward interface to pull GA data into spreadsheets, BI tools, or data storage for analysis.

Q2: Which ETL tools offer Google Analytics integration with compliance support?

• Hevo Data is HIPAA- and SOC 2-compliant, making it suitable for regulated environments that require secure and audited GA data handling.

• Integrate.io includes enterprise-grade security features like field-level encryption, audit logging, and GDPR-ready controls for GA data workflows.

• Supermetrics, widely used in marketing and analytics, also offers secure handling of Google Analytics data across business environments.