8 Best Google Cloud ETL Tools

on Data Integration, ETL, ETL Tools, ETL Tutorials • December 15th, 2021 • Write for Hevo

Google Cloud ETL

Are you confused about which tool to use for ETL from your Google Cloud account? Are you struggling to match your requirements with the ETL tool? If yes, then this blog will answer all your queries.

The usage of ETL tools has increased in this era of Big Data, where data is quickly expanding, thus resulting in a spike in demand for the finest ETL tools in the market.

This article provides you with a comprehensive list of some of the best Google Cloud ETL tools and their key aspects which you can use to simplify ETL for your business.

Table of Contents

What is Google Cloud?

Google Cloud Logo
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Google Cloud Platform is a suite of public cloud computing services such as data storage, data analytics, big data, machine learning, etc. It runs on the same infrastructure that Google uses internally for its end users. With the help of Google Cloud Platform, you can deploy and operate applications on the web.

Google Cloud offers the following services:

  1. Computing and Hosting: It allows you to work in a serverless environment, use a managed application platform, leverage container technology, and build your own cloud-based infrastructure.
  2. Storage Services: It offers consistent, scalable, and secure data storage in Cloud Storage. You will have a fully managed NFS file server in Filestore. You can use Filestore data from applications that run on Compute engine VM instances or GKE clusters.
  3. Database Services: Google Cloud Platform offers a variety of SQL and NoSQL database services. You can use Cloud SQL, which can be either MySQL or PostgreSQL. For NoSQL, you can use Firestore or Cloud Bigtable. 
  4. Networking Services: While your App Engine manages networking for you, GKE uses the Kubernetes model to provide a set of network services to you. All these services can load balance traffic across resources, create DNS records and connect your existing network to your Google network.  
  5. Big Data Services: This service will help you to process and query the big data in your cloud to get fast and quick answers. With the help of BigQuery, data analysis becomes a cakewalk for you.
  6. Machine Learning Services: The AI platform will provide you with a variety of machine learning services. To access pre-trained models optimized for a specific application, you can use APIs. You can also build and train your own large-scale models.  
GCP Services
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Google Cloud offers these services at a reasonable price as it follows the pay-as-you-go policy. Know more about the pricing here

What are the ETL Tools?

ETL refers to Extract, Transform, and Load data. ETL is the process of moving data from your source to the desired data warehouse. ETL is the most crucial part of your data analysis. If anything goes wrong in this step, then you will suffer data loss.

ETL tools refer to an application that allows users to execute the ETL process. It will help you to move data from your source to the desired destination with zero data loss. Modern ETL tools offer a large number of scheduled processes for data migration. ETL tools allow coordination and execution of large and complex volumes of data in these activities. 

Best Google Cloud ETL Tools

Here’s a list of some of the top 10 Google Cloud ETL tools available in the market, that you can choose from, to simplify ETL. Selecting the right Google Cloud ETL tools for your business needs has never been this easy:

Let’s discuss them in detail.

Top 8 Google Cloud ETL Tools

Choosing an ETL tool for your use case can be a make-or-break situation. In this blog, you will consider the following factors while choosing the Google Cloud ETL tools for yourself:

  • Overview
  • Pricing
  • Use Case

1) Hevo Data

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Hevo Data, a No-code Data Pipeline helps you to replicate data from any data source with zero maintenance. You can get started with Hevo’s 14-day Free Trial and instantly move data from 150+ pre-built integrations comprising a wide range of SaaS apps and databases. Using Hevo, you can precisely control pipeline schedules down to the minute.

Get Started with Hevo for Free

Setting up data pipelines with Hevo is a simple 3-step process by just selecting the data source, providing valid credentials, and choosing the destination.

Hevo not only loads the data onto the desired Data Warehouse but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss.

Check out what makes Hevo amazing:

  • Near Real-Time Replication -: Get access to near real-time replication on All Plans. Near Real-time via pipeline prioritization for Database Sources. For SaaS Sources, near real-time replication depend on API call limits.
  • In-built Transformations – Format your data on the fly with Hevo’s preload transformations using either the drag-and-drop interface, or our nifty python interface. Generate analysis-ready data in your warehouse using Hevo’s Postload Transformation.
  • Monitoring and Observability-: Monitor pipeline health with intuitive dashboards that reveal every stat of pipeline and data flow. Bring real-time visibility into your ETL with Alerts and Activity Logs.
  • Reliability at Scale -: With Hevo, you get a world-class fault-tolerant architecture that scales with zero data loss and low latency.
  • 24×7 Customer Support – With Hevo you get more than just a platform, you get a partner for your pipelines. Discover peace with round-the-clock “Live Chat” within the platform. What’s more, you get 24×7 support even during the 14-day free trial.

Hevo Data provides Transparent Pricing to bring complete visibility to your ETL spend. You can also choose a plan based on your business needs.


Hevo Data Pricing
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Stay in control with spend alerts and configurable credit limits for unforeseen spikes in the data flow. Simplify your Data Analysis with Hevo today!

Sign up here for a 14-Day Free Trial!

2) Google Cloud Data Fusion

Google Cloud ETL Tools: Google Cloud Data Fusion
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Google Cloud Data Fusion is a cloud-native data integration tool. It is a fully managed Google Cloud ETL tool that allows data integration at any scale. It is built with an open-source core, CDAP for your pipeline portability. It offers a visual point and clicks interface that allows code-free deployment of your ETL/ELT data pipelines. Apart from native integration with Google Cloud Services, it also offers 150+ pre-configured connectors and transformations at zero additional cost. 


Google Cloud Data Fusion pricing depends on the interface instance hours. The Basic Edition allows free 120 hours per month per account. Know more about Cloud Data Fusion pricing here

Use Case

Google Cloud Data Fusion offers scalable and distributed data lakes on your Google Cloud by integrating data from various siloed on-premise platforms. It also allows you to have a better understanding of customers by breaking down the data silos and enabling the development of agile and cloud-based data warehouse solutions in BigQuery. Google Cloud Data Fusion offers a unified analytics environment.

3) Talend

Google Cloud ETL Tools: Talend
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Talend is a big data and cloud data integration software. Talend is built on Eclipse graphic environment. It also supports scaling massive data sets and advanced data analytics. It has partnered with leading cloud service providers, analytics platforms, data warehouses such as Google Cloud Platform, Amazon Web Services (AWS), Snowflake, etc. It acts as a connector to other software as Saas.


Talend offers a variety of pricing plans. It costs $12,000 annually or $1,170 monthly. Take a glance at Talend pricing here.

Use Case 

If you are a company with strict compliance requirements to spread risk across several clouds, then Talend is the correct tool. This Google Cloud ETL tool offers data integration with various on-premise warehouses such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, SAP, etc.

Download the Guide to Evaluate ETL Tools
Download the Guide to Evaluate ETL Tools
Download the Guide to Evaluate ETL Tools
Learn the 10 key parameters while selecting the right ETL tool for your use case.

4) Informatica – PowerCenter

Google Cloud ETL Tools: Informatica PowerCenter
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Informatica is an enterprise on-premise Google Cloud ETL tool that can build enterprise warehouses. It also supports integration with various traditional databases. It has the capability of delivering data on-demand. Some of its key features include advanced transformation, dynamic partitioning, zero downtime, universal connectivity, data masking, etc. 


Informatica offers a Basic plan at $2000 monthly. Pricing depends on data sources, security features, etc. It doesn’t offer transparent pricing. You can also use their 30-day free trial. Informatic through AWS and Azure offers to pay as you go policy.  

Use Case

Large organizations which require enterprise-grade security and data governance within on-premise data can use this Google Cloud ETL tool.

5) IBM Infosphere Information Server

Google Cloud ETL Tools: IBM Infosphere Information Server
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Information Server is a branch of IBM’s product that revolves around data warehousing and data integration. It’s an enterprise product for large organizations that supports integration with cloud data storage, including Google Cloud, AWS S3, etc. It offers a solution for the deployment, integration, and management of data warehouses. Infosphere offers massively parallel processing (MPP). It provides a highly scalable and flexible integration platform that can handle any data of volume.


Its pricing includes Information Server Edition and InfoSphere DataStage. Infosphere is expensive as compared to other Google Cloud ETL tools as its starting price is $19,000 per month. Read more about its pricing here.

Use Case

This Google Cloud ETL tool is best suited for large enterprise-grade applications which have on-premise databases. 

6) StreamSets

Google Cloud ETL Tools: StreamSets
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StreamSets is a DataOps and real-time Google Cloud ETL tool. It provides data monitoring and supports a variety of data sources and destinations for data integration. Many enterprises use it to integrate dozens of data sources for analysis. It supports data protectors with data security guidelines like GDPR and HIPAA.


StreamSet’s standard plan is free of cost. This Google Cloud ETL tool does not have transparent pricing, so you have to request a quote here to know about the Enterprise Edition.

Use Case

It allows companies to use their on-premise or cloud provider for defining a real-time data pipeline. If you want to use several Saas offerings, then StreamSet is not recommended.

7) Stitch Data

Google Cloud ETL Tools: Stitch Data
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Stitch Data is a cloud-first and extensible data integration platform. It provides integration with 90+ data sources. It maintains SOC 2, HIPAA, and GDPR compliance while providing businesses with the power to replicate data easily and cost-effectively. Moreover, this Google Cloud ETL tool also provides you with the power to scale your ecosystem reliably. 


Stitch offers two pricing plans. The Standard plan starts at $100 monthly or $1000 annually. To know the Enterprise plan, you have to request a quote. Know more about the pricing here.  

Use Case

You can use Stitch data when you want better insights into data analytics. This Google Cloud ETL tool allows data migration within minutes. It doesn’t require API maintenance, scripting, cron jobs, or JSON.

8) Apache Airflow

Google Cloud ETL Tools: Apache Airflow
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Airflow is a modern platform that designs, creates, and tracks workflows. It is an open-source Google Cloud ETL tool. It supports integration with cloud services, including Google Cloud Platform, Azure, and AWS. It offers a user-friendly interface and provides clear visualization. Scaling becomes very easy with Airflow due to its modular structure. 


Apache Airflow is free of cost and open source.

Use Case

Airflow is a platform to programmatically create, schedule, and monitor workflows. It uses Directed Acyclic Graphs (DAG) for the workflow. It is also used for training ML models, sending notifications, tracking systems, and powering functions within various APIs.


In this blog, you have learned about Google Cloud Platform, ETL tools, and the best Google Cloud ETL tools in detail. You can choose any of the mentioned Google Cloud ETL tools according to your requirement.

If you are looking for a real-time and fully automated data pipeline, then try Hevo. Hevo is an all-in-one cloud-based ETL pipeline that will not only help you transfer data but also transform it into an analysis-ready form.

Hevo’s native integration with Google Cloud offerings like MySQL, PostgreSQL, MSSQL Server ensures you can move your Google Cloud data without the need to write complex ETL scripts. You can also have a look at the unbeatable pricing that will help you choose the right plan for your business needs.

Want to take Hevo for a spin? Sign up for a 14-day free trial and start replicating your google cloud data with the feature-rich Hevo suite first hand.

Share your experience of using the best Google Cloud ETL tools in the comment section below.  

Google Cloud ETL Pipeline