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 build everything in-house. We put together this ETL tool comparison guide to help you choose the product that’s the best fit for your business.

Overview

Xplenty, Apache Airflow, and Stitch are all popular platforms. Here's a side-by-side look at how they stack up against each other.

Focus Data ingestion, ELT/ETL Orchestration, scheduling, workflows Data ingestion, ELT
Database replication Full table; incremental via SELECT/replication keys Only via plugins Full table; incremental via change data capture or SELECT/replication keys
SaaS sources More than 100 Only via plugins 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 No Yes Yes
G2 customer satisfaction 4.4/5 Not rated 4.8/5
Support SLAs Yes No Available
Purchase process Requires a conversation with sales Free to download and use Options for self-service or talking with sales. Also available from the AWS store.
Compliance, governance, and security certifications SOC 2, SOX, PCI, GDPR None HIPAA, GDPR, SOC 2
Data sharing No Yes, via plugins Yes, through Talend Data Fabric
Vendor lock-in Annual contracts Free to use Month to month or annual contracts. Open source integrations
Developer tools REST API Experimental REST API 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

Xplenty

Xplenty offers more than a dozen simple preload transformations, including filter, sort, and join, implemented via dragging and dropping components onto a workspace.

Apache Airflow

Apache Airflow is a powerful tool for authoring, scheduling, and monitoring workflows as directed acyclic graphs (DAG) of tasks. A DAG is a topological representation of the way data flows within a system. Airflow manages execution dependencies among jobs (known as operators in Airflow parlance) in the DAG, and programmatically handles job failures, retries, and alerting. Developers can write Python code to transform data as an action in a workflow.

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.

Xplenty

Xplenty supports more than 120 integrations to SaaS platforms, databases, and BI and analytics tools. It supports Amazon Redshift, Google BigQuery, and Snowflake data warehouses and Amazon S3 data lakes, along with database and file storage destinations. Customers can request that the company build a new data source or destination, but no one outside of the company can build new ones or make improvements to existing ones.

Apache Airflow

Airflow orchestrates workflows to extract, transform, load, and store data. It run tasks, which are sets of activities, via operators, which are templates for tasks that can by Python functions or external scripts. Developers can create operators for any source or destination. In addition, Airflow supports plugins that implement operators and hooks — interfaces to external platforms. The Airflow community has built plugins for databases like MySQL and Microsoft SQL Server and SaaS platforms such as Salesforce, Stripe, and Facebook Ads.

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.

Xplenty

Xplenty provides support through Intercom online chat and via email. Documentation is in the form of an online knowledgebase. The company doesn't provide training services.

Apache Airflow

The open source community provides Airflow support through a Slack community. Documentation includes quick start and how-to guides. Other than a tutorial on the Apache website there are no training resources.

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

Xplenty

Xplenty doesn't disclose pricing. The company offers a 7-day free trial to users who request a product demo.

Apache Airflow

Airflow is free and open source, licensed under Apache License 2.0.

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.