Google Cloud Dataprep vs. Azure Data Factory vs. Stitch
ETL software comparison
Skip Navigation
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 two such tools, head to head.
About Google Cloud Dataprep
Google Cloud Dataprep is a data service for exploring, cleaning, and preparing structured and unstructured data. 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 Dataflow, a platform for ingesting and processing real-time data
- Google Cloud Data Fusion, a cloud-native data integration service
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 Azure Data Factory
Azure Data Factory is a cloud-based data integration service for creating ETL and ELT pipelines. It allows users to create data processing workflows in the cloud,either through a graphical interface or by writing code, for orchestrating and automating data movement and data transformation.
Stitch and Talend partner closely with Microsoft. While this page details our products that have some overlapping functionality and the differences between them, we're more complementary than we are competitive. Microsoft Azure offers lots of products beyond what's mentioned on this page, 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.
 |  |  | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Focus | Data transformation | ETL | Data ingestion, ELT | |||||||||||
| Database replication | None | Full table; incremental via custom SELECT query | Full table; incremental via change data capture or SELECT/replication keys | |||||||||||
| SaaS sources | None | About 20, with several more in preview | More than 100 | |||||||||||
| Ability for customers to add new data sources | No | No | Yes | |||||||||||
| Connects to data warehouses? Data lakes? | Yes / Yes | Yes / Yes | Yes / Yes | |||||||||||
| Transparent pricing | Yes | Yes | Yes | |||||||||||
G2 customer satisfaction | 4.1/5 | 4.6/5 | 4.8/5 | |||||||||||
| Support SLAs | Yes | Yes | Available | |||||||||||
| Purchase process | Self-service | Options for self-service or talking with sales | Options for self-service or talking with sales. Also available from the AWS store. | |||||||||||
| Compliance, governance, and security certifications | HIPAA | HIPAA, GDPR, ISO 27001, others | HIPAA, GDPR, SOC 2 | |||||||||||
| Data sharing | Yes | No | Yes, through Talend Data Fabric | |||||||||||
| Vendor lock-in | Month to month | Month to month | Month to month or annual contracts. Open source integrations | |||||||||||
| Developer tools | REST API for creating job groups | REST API, .Net and Python SDKs | 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
Google Cloud Dataprep
Cloud Dataprep's main purpose is to let data analysts explore, clean, and prepare data for analysis. It provides tools to format, filter, and run macros against data. It uses a visual interface to cleanse and enrich multiple data sources before loading them to a Google Cloud Storage data lake or BigQuery data warehouse.
Azure Data Factory
Azure Data Factory supports both pre- and post-load transformations. Users apply transformations either by using a GUI to map them, or in code using Power Query Online. Azure Data Factory supports a wide range of transformation functions.
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.
Try Stitch for free for 14 days
- Unlimited data volume during trial
- Set up in minutes
Connectors: Data sources and destinations
Each of these tools supports a variety of data sources and destinations.
Google Cloud Dataprep
Cloud Dataprep is a whitelabeled, managed version of Trifacta Wrangler. It can read data from Google Cloud Storage and BigQuery, and can import files. Cloud Dataprep doesn't support any SaaS data sources. It can write data to Google Cloud Storage or BigQuery.
Azure Data Factory
Azure Data Factory integrates with about 80 data sources, including SaaS platforms, SQL and NoSQL databases, generic protocols, and various file types. It supports around 20 cloud and on-premises data warehouse and database destinations.
Stitch
Stitch supports more than 100 database and SaaS integrationsas 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.
Google Cloud Dataprep
Google provides several support plans for Google Cloud Platform, which Cloud Dataprep is part of. Documentation is comprehensive. Google offers both digital and in-person training.
Azure Data Factory
Azure Data Factory provides support via online forums and an online support request form. Email and phone support are available. Documentation is comprehensive. Digital training materials are available.
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
Google Cloud Dataprep
Cloud Dataprep jobs are executed by Cloud Dataflow workers, which are priced per second for CPU, memory, and storage resources.
Azure Data Factory
Pricing for Azure Data Factory's data pipeline is calculated based on number of pipeline orchestration runs; compute-hours for flow execution and debugging; and number of Data Factory operations, such as pipeline monitoring.
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. 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 better 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.
Give Stitch a try, on us
Select your integrations, choose your warehouse, and enjoy Stitch free for 14 days.
Set up in minutesUnlimited data volume during trial