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 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
Dataloader.io is a tool for centralizing data from files and importing it into Salesforce.
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||Salesforce data import, export, and delete||Data ingestion, ELT|
|Database replication||None||No database data sources||Full table; incremental via change data capture or SELECT/replication keys|
|SaaS sources||None||Only Box and Dropbox||More than 100|
|Ability for customers to add new data sources||No||No||Yes|
|Connects to data warehouses? Data lakes?||Yes / Yes||No / No||Yes / Yes|
|G2 customer satisfaction||4.1/5||4.7/5||4.8/5|
|Purchase process||Self-service||Self-service||Options for self-service or talking with sales. Also available from the AWS store.|
|Compliance, governance, and security certifications||HIPAA||None||HIPAA, GDPR, SOC 2|
|Data sharing||Yes||No||Yes, through Talend Data Fabric|
|Vendor lock-in||Month to month||Month to month or annual contracts. Open source integrations|
|Developer tools||REST API for creating job groups||None||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.
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.
Dataloader.io allows users to map fields from CSV files to Salesforce fields, but does no transformation to the data.
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 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.
Dataloader.io imports data from CSV files that are stored locally, in Box or Dropbox, or accessed via FTP. There are no tools for writing custom connectors. The platform can export data from Salesforce to the same platforms from which it imports files.
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 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.
Dataloader.io provides forum-based support. Professional and Enterprise customers can also get email support. Documentation is comprehensive. No training resources are available.
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.
Google Cloud Dataprep
Cloud Dataprep jobs are executed by Cloud Dataflow workers, which are priced per second for CPU, memory, and storage resources.
Plans are billed monthly. A free tier allows up to 10,000 records per month. The $99 Professional tier allows up to 100,000 records per month. The $299 Enterprise tier allows unlimited records per month. A 30-day free trial of Enterprise is available.
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 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.