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 AWS Data Pipeline

Amazon Web Services (AWS) has a host of tools for working with data in the cloud. Data Pipeline focuses on data transfer. It's one of two AWS tools for moving data from sources to analytics destinations; the other is AWS Glue, which is more focused on ETL.

Stitch and Talend partner with AWS. While this page details our products that have some overlapping functionality and the differences between them, we're more complementary than we are competitive. AWS offers lots of products beyond what's mentioned on this page, and we have thousands of customers who successfully use our solutions together.

About Informatica

Informatica offers a portfolio of data integration products as well as tools for master data management, data quality, data cataloging, and API management. Informatica started out with on-premises tools but now offers a cloud platform as well.

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 transfer Data integration, ETL Data ingestion, ELT
Database replication Full table; incremental replication via timestamp field Full table; incremental via change data capture Full table; incremental via change data capture or SELECT/replication keys
SaaS sources None More than 80 More than 100
Ability for customers to add new data sources No Yes Yes
Connects to data warehouses? Data lakes? Yes / Yes Yes / Yes Yes / Yes
Transparent pricing Yes No Yes
G2 customer satisfaction Not rated 4.0/5 4.8/5
Support SLAs Yes Available Available
Purchase process Self-service Requires conversation with sales Options for self-service or talking with sales. Also available from the AWS store.
Compliance, governance, and security certifications None HIPAA, SOC 2, SOC 3, Privacy Shield HIPAA, GDPR, SOC 2
Data sharing Yes Yes, through Informatica Cloud Yes, through Talend Data Fabric
Vendor lock-in Annual contracts. No open source Month to month or annual contracts. Open source integrations
Developer tools AWS Data Pipeline API gives programmatic control over most Data Pipeline operations. SDKs are available for several languages. Informatica Developer Tool, REST API, Connector Toolkit 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

AWS Data Pipeline

Data Pipeline supports preload transformations using SQL commands. You can create a pipeline graphically through a console, using the AWS command line interface (CLI) with a pipeline definition file in JSON format, or programmatically through API calls.

Informatica

Informatica has been an on-premises product for most of its history, and much of the product is focused on preload transformations, which is an important feature when sending data to an on-premises data warehouse. Informatica includes a library of prebuilt transformations and the ability to build custom transformations using a proprietary transformation language.

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.

AWS Data Pipeline

Data Pipeline supports four types of what it calls data nodes as sources and destinations: DynamoDB, SQL, and Redshift tables and S3 locations. Data Pipeline doesn't support any SaaS data sources.

Informatica

Informatica provides Cloud Connectors for more than 100 applications and databases. The only cloud data warehouse destination it supports is Amazon Redshift. It also support Pivotal's Greenplum on-premises platform. The only data lake destination it supports is Microsoft Azure SQL Data Lake. Developers can create new connectors using Informatica Connector Toolkit.

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.

AWS Data Pipeline

AWS provides online support through a ticketing system and a knowledgebase. Support tickets may get phone or chat responses. Documentation is comprehensive. Digital training materials are available.

Informatica

Informatica provides three levels of support. Basic Success is available during business hours. Premium Success offers 24x7 support for Priority 1 cases. Signature Support offers 24x7 support for all cases. Documentation is comprehensive. The company offers training through Informatica University.

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

AWS Data Pipeline

Data Pipeline pricing is based on how often your activities and preconditions are scheduled to run and whether they run on AWS or on-premises.

Informatica

Informatica has many products, each of which may have several optional components. The base version of Integration Cloud starts at $2,000 per month. The pricing of add-on tiers is undisclosed. Informatica provides a 30-day free trial for many of its products.

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.