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 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 StreamSets

The StreamSets DataOps Platform includes five components:

  • Control Hub is the dashboard for building, deploying, and operating data flows.
  • Data Collector is an open source tool for designing streaming data pipelines with both a graphical UI and a command-line interface.
  • Data Collector Edge is a data ingestion and analytics tool for IoT and cybersecurity edge systems that runs via an ultralight agent.
  • Data Protector discovers and secures sensitive data as it moves through a pipeline, to aid compliance with GDPR, HIPAA, and other regulations.
  • DataFlow Performance Manager adds historical comparisons and data SLAs for availability, accuracy, and security.

  • 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 Data integration ETL, transformations, data prep Data ingestion, ELT
    Database replication Full table; incremental replication via custom SELECT statements Full replication or change data capture Full table; incremental via change data capture or SELECT/replication keys
    SaaS sources None Only Salesforce More than 100
    Ability for customers to add new data sources Yes Yes Yes
    Connects to data warehouses? Data lakes? Yes / Yes Yes / Yes Yes / Yes
    Transparent pricing Yes No Yes
    Support SLAs Yes Available Available
    Purchase process Self-service Requires a conversation with sales Options for self-service or talking with sales. Also available from the AWS store.
    Compliance, governance, and security certifications HIPAA HIPAA, GDPR HIPAA, GDPR, SOC 2
    Data sharing Yes No Yes, through Talend Data Fabric
    Vendor lock-in Annual contracts. StreamSets Data Collector is open source, other parts of the platform are proprietary. Month to month or annual contracts. Open source integrations
    Developer tools REST API to manage Cloud Data Fusion instances Several APIs 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 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.

    StreamSets

    StreamSets comes with more than 50 pre-load transformation processors, which users can drag and drop onto a graphical workspace. Processors can look up, remove, convert, parse, and aggregate data from various sources. Developers can write their own custom processors in Java, Java Expression Language (EL), JavaScript, Jython, Groovy, and Scala.

    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.

    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.

    StreamSets

    StreamSets Data Collector (SDC) supports more than 40 storage and database sources, plus Kafka Streams and MapR Streams; no SaaS integrations are available other than Salesforce. Destinations include Google BigQuery, Snowflake, Amazon S3, Microsoft Azure SQL Data Lake, and more than 30 other database, storage, and streaming platforms.

    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.

    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.

    StreamSets

    StreamSets provides support through a Zendesk ticketing system. 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 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.

    StreamSets

    StreamSets provides a 30-day free trial. Pricing isn't disclosed.

    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.