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 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:
- 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.
- 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.
- Database Services: Google Cloud Platform (GCP) 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.
- 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.
- 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.
- 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 large-scale models.
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 the coordination and execution of large and complex volumes of data in these activities.
Top 8 Google Cloud ETL Tools
Choosing an ETL tool for Google Cloud for your use case can be a make-or-break situation. In this blog, you will consider the following factors while choosing the tools to execute ETL in Google Cloud:
1) Hevo Data
Hevo allows you to replicate data in near real-time from 150+ sources to the destination of your choice including Snowflake, BigQuery, Redshift, Databricks, and Firebolt. Without writing a single line of code. Finding patterns and opportunities is easier when you don’t have to worry about maintaining the pipelines. So, with Hevo as your data pipeline platform, maintenance is one less thing to worry about.
For the rare times things do go wrong, Hevo ensures zero data loss. To find the root cause of an issue, Hevo also lets you monitor your workflow so that you can address the issue before it derails the entire workflow. Add 24*7 customer support to the list, and you get a reliable tool that puts you at the wheel with greater visibility. Check Hevo’s in-depth documentation to learn more.
If you don’t want SaaS tools with unclear pricing that burn a hole in your pocket, opt for a tool that offers a simple, transparent pricing model. Hevo has 3 usage-based pricing plans starting with a free tier, where you can ingest upto 1 million records.
Hevo was the most mature Extract and Load solution available, along with Fivetran and Stitch but it had better customer service and attractive pricing. Switching to a Modern Data Stack with Hevo as our go-to pipeline solution has allowed us to boost team collaboration and improve data reliability, and with that, the trust of our stakeholders on the data we serve.– Juan Ramos, Analytics Engineer, Ebury
Check out how Hevo empowered Ebury to build reliable data products here.
Sign up here for a 14-Day Free Trial!
2) Google Cloud Data Fusion
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.
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.
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, and data warehouses such as Google Cloud Platform, Amazon Web Services (AWS), Snowflake, etc.
Talend offers 4 pricing plans that let you put healthy data at the center of your business: Stitch, Data Management Platform, Big Data Platform, and Data Fabric.
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
Learn the 10 key parameters while selecting the right ETL tool for your use case.
4) Informatica – PowerCenter
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. You can also use their 30-day free trial to learn the ropes.
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
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. Read more about its pricing here.
This Google Cloud ETL tool is best suited for large enterprise-grade applications which have on-premise databases.
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.
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
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 was acquired by Talend, and you can check out the pricing plan on Talend’s pricing page.
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
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.
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 the 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, and 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 firsthand.
Share your experience of using the best Google Cloud ETL tools in the comment section below.