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 Jitterbit

Jitterbit is a cloud-based API integration platform for application integration.

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:

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.

Jitterbit LogoGoogle Cloud Dataprep LogoStitch Logo
FocusApplication integrationData transformationData ingestion, ELT
Database replicationFull tableNoneFull table; incremental via change data capture or SELECT/replication keys
SaaS sourcesMore than 100NoneMore than 100
Ability for customers to add new data sourcesYesNoYes
Connects to data warehouses? Data lakes?Yes / YesYes / YesYes / Yes
Transparent pricingNoYesYes
G2 customer satisfactionHelp4.7/54.1/54.8/5
Support SLAsYesYesAvailable
Purchase processRequires a conversation with salesSelf-serviceOptions for self-service or talking with sales. Also available from the AWS store.
Compliance, governance, and security certifications HIPAA, GDPR, SOC 1 Type I and II, SOC 2 Type I and IIHIPAAHIPAA, GDPR, SOC 2
Data sharingYesYesYes, through Talend Data Fabric
Vendor lock-inAnnual contractsMonth to monthMonth to month or annual contracts. Open source integrations
Developer toolsJitterbit's Harmony API is designed for building integrations with data, apps, or devicesREST API for creating job groupsImport 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

Jitterbit

Jitterbit specializes in application integration — moving data from one application or platform to another. Each application has defined data structures, so Jitterbit often has to transform data from a source to fit the destination schema. Jitterbit lets users select preload transformations in a graphical interface. The platform bundles several kinds of transformations, and lets users write their own functions in JavaScript or Jitterbit Script.

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.

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.

Jitterbit

Like other application integration platforms, Jitterbit typically replicates data changes one at a time between multiple SaaS, on-premises, and cloud applications as events happen, rather than pushing batches of data to a single central repository. Jitterbit claims to support more than 1,000 sources, and lists more than 200 of them on its website. Endpoints include SaaS platforms, databases, file formats, and transport protocols. Destinations include all source types, plus email and Salesforce Wave Analytics (Einstein Analytics) cloud datasets. Amazon Redshift, S3, and Snowflake are supported 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.

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.

Jitterbit

Jitterbit provides support via an online forum-based community and via online form submission. Documentation is comprehensive. Digital training materials are available.

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.

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

Jitterbit

Jitterbit provides three subscriptions tiers — Standard, Professional, and Enterprise — but pricing is not disclosed.

Google Cloud Dataprep

Cloud Dataprep jobs are executed by Cloud Dataflow workers, which are priced per second for CPU, memory, and storage resources.

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.

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