Most businesses have data stored in a variety of locations, from in-house databases to SaaS platforms. To get a full picture of their finances and operations, they pull data from all those sources into a data warehouse or data lake and run analytics against it. But they don't want to build and maintain their own data pipelines.

Fortunately, it’s not necessary to code everything in-house. Here's an comparison of three such tools, head to head.

About AWS Glue

Amazon Web Services (AWS) has a host of tools for working with data in the cloud. Glue focuses on ETL. It's one of two AWS tools for moving data from sources to analytics destinations; the other is AWS Data Pipeline, which is more focused on data transfer.

Stitch and Talend partner with AWS. While this page details our products that have some overlapping functionality and the differences between them, we're more complementary than we are competitive. AWS offers lots of products beyond what's mentioned on this page, and we have thousands of customers who successfully use our solutions together.

About Google Cloud Data Fusion

Google Cloud Data Fusion is a cloud-native data integration service. It's one of several Google data analytics services, including:

  • BigQuery, a cloud data warehouse
  • Google Data Studio, a relatively simple platform for reporting and visualization
  • Google Cloud Datalab, a more robust analytics tool that lets data professionals explore, analyze, transform, and visualize data and build machine learning models
  • Google Cloud Dataprep, a data service for exploring, cleaning, and preparing structured and unstructured data
  • Google Cloud Dataflow, a platform for ingesting and processing real-time data
Stitch and Talend partner with Google. While this page details our products that have some overlapping functionality and the differences between them, we're more complementary than we are competitive. Google offers lots of products beyond those mentioned here, and we have thousands of customers who successfully use our solutions together.

About Stitch

Stitch Data Loader is a cloud-based platform for ETL — extract, transform, and load. More than 3,000 companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes, where it can be analyzed with BI tools. Stitch is a Talend company and is part of the Talend Data Fabric.

Competitors stitch
Focus ETL, data catalog Data integration Data ingestion, ELT
Database replication Full table; incremental via change data capture through AWS Database Migration Service (DMS) Full table; incremental replication via custom SELECT statements Full table; incremental via change data capture or SELECT/replication keys
SaaS sources None None More than 100
Ability for customers to add new data sources Developers can write custom Scala or Python code and import custom libraries and Jar files into Glue ETL jobs to access data sources not natively supported by AWS Glue. Yes Yes
Connects to data warehouses? Data lakes? Yes / Yes Yes / Yes Yes / Yes
Transparent pricing Yes Yes Yes
G2 customer satisfaction 4.1/5 Not rated 4.8/5
Support SLAs Available Yes Available
Purchase process Options for self-service and talking with sales Self-service Options for self-service or talking with sales. Also available from the AWS store.
Compliance, governance, and security certifications HIPAA, GDPR HIPAA HIPAA, GDPR, SOC 2
Data sharing Yes, within AWS Yes Yes, through Talend Data Fabric
Vendor lock-in Month to month. Cloud Data Fusion is powered by the open source project CDAP Month to month or annual contracts. Open source integrations
Developer tools REST API to manage Cloud Data Fusion instances Import API, Stitch Connect API for integrating Stitch with other platforms, Singer open source project

Let's dive into some of the details of each platform.

Transformations

AWS Glue

AWS Glue provides 16 built-in preload transformations that let ETL jobs modify data to match the target schema. Glue generates Python code for ETL jobs that developers can modify to create more complex transformations, or they can use code written outside of Glue.

Google Cloud Data Fusion

Cloud Data Fusion supports simple preload transformations — validating, formatting, and encrypting or decrypting data, among other operations — created in a graphical user interface.

Stitch

Stitch is an ELT product. Within the pipeline, Stitch does only transformations that are required for compatibility with the destination, such as translating data types or denesting data when relevant. Stitch is part of Talend, which also provides tools for transforming data either within the data warehouse or via external processing engines such as Spark and MapReduce. Transformations can be defined in SQL, Python, Java, or via graphical user interface.

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Connectors: Data sources and destinations

Each of these tools supports a variety of data sources and destinations.

AWS Glue

AWS Glue supports AWS data sources — Amazon Redshift, Amazon S3, Amazon RDS, and Amazon DynamoDB — and AWS destinations, as well as various databases via JDBC. Glue can also serve as an orchestration tool, so developers can write code that connects to other sources, processes the data, then writes it out to the data target.

Google Cloud Data Fusion

Cloud Data Fusion is a beta service on Google Cloud Platform. The platform supports almost 20 file and database sources and more than 20 destinations, including databases, file formats, and real-time resources. Cloud Data Fusion doesn't support any SaaS data sources.

Stitch

Stitch supports more than 100 database and SaaS integrations as data sources, and eight data warehouse and data lake destinations. Customers can contract with Stitch to build new sources, and anyone can add a new source to Stitch by developing it according to the standards laid out in Singer, an open source toolkit for writing scripts that move data. Singer integrations can be run independently, regardless of whether the user is a Stitch customer. Running Singer integrations on Stitch’s platform allows users to take advantage of Stitch's monitoring, scheduling, credential management, and autoscaling features.

Support, documentation, and training

Data integration tools can be complex, so vendors offer several ways to help their customers. Online documentation is the first resource users often turn to, and support teams can answer questions that aren't covered in the docs. Vendors of the more complicated tools may also offer training services.

AWS Glue

AWS provides several levels of support. Free Basic support provides access to support forums. Develop support adds client-side diagnostic tools and guidance on how to use AWS products, features, and services together. Business and Enterprise plans add additional options. Documentation is comprehensive. Both digital training and classroom training services are available.

Google Cloud Data Fusion

Google provides several support plans for Google Cloud Platform, which Cloud Data Fusion is part of. Documentation is comprehensive. Google offers both digital and in-person training.

Stitch

Stitch provides in-app chat support to all customers, and phone support is available for Enterprise customers. Support SLAs are available. Documentation is comprehensive and is open source — anyone can contribute additions and improvements or repurpose the content. Stitch does not provide training services.

Pricing

AWS Glue

AWS Glue ETL jobs are billed at an hourly rate based on data processing units (DPU), which map to performance of the serverless infrastructure on which Glue runs. For the AWS Glue Data Catalog, users pay a monthly fee for storing and accessing Data Catalog the metadata. The first million objects stored are free, and the first million accesses are free. A development endpoint provisioned to interactively develop ETL code is billed per second.

Google Cloud Data Fusion

Cloud Data Fusion is priced differently for development and execution. Development is priced per instance per hour at two different rates, for Basic and Enterprise editions. Execution runs at Google Cloud Dataproc rates.

Stitch

Stitch has pricing that scales to fit a wide range of budgets and company sizes. All new users get an unlimited 14-day trial. After the trial, there's a free plan for smaller organizations and nonproduction workloads. Standard plans range from $100 to $1,250 per month depending on scale, with discounts for paying annually. Enterprise plans for larger organizations and mission-critical use cases can include custom features, data volumes, and service levels, and are priced individually.

Get started now

Which tool is best overall? That's something every organization has to decide based on its unique requirements, but we can help you get started. Sign up now for a free trial of Stitch.