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 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	Application integration	ETL	Data ingestion, ELT
Database replication	Full table	Full table; incremental via custom SELECT query	Full table; incremental via change data capture or SELECT/replication keys
SaaS sources	More than 100	About 20, with several more in preview	More than 100
Ability for customers to add new data sources	Yes	No	Yes
Connects to data warehouses? Data lakes?	Yes / Yes	Yes / Yes	Yes / Yes
Transparent pricing	No	Yes	Yes
G2 customer satisfaction	4.7/5	4.6/5	4.8/5
Support SLAs	Yes	Yes	Available
Purchase process	Requires a conversation with sales	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, GDPR, SOC 1 Type I and II, SOC 2 Type I and II	HIPAA, GDPR, ISO 27001, others	HIPAA, GDPR, SOC 2
Data sharing	Yes	No	Yes, through Talend Data Fabric
Vendor lock-in	Annual contracts	Month to month	Month to month or annual contracts. Open source integrations
Developer tools	Jitterbit's Harmony API is designed for building integrations with data, apps, or devices	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

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.

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.

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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.

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.

Jitterbit

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

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

Jitterbit

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

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.

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