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

AWS Glue, Data Virtuality, and Stitch are all popular platforms. Here's a side-by-side look at how they stack up against each other.

Focus ETL, data catalog Data ingestion, ELT, data virtualization Data ingestion, ELT
Database replication Full table; incremental via change data capture through AWS Database Migration Service (DMS) Full table; incremental by key field values Full table; incremental via change data capture or SELECT/replication keys
SaaS sources None Around 140 More than 100
Ability for customers to add new data sources Developers can write custom Scala or Python code and import custom libraries and Jar files into Glue ETL jobs to access data sources not natively supported by AWS Glue. No Yes
Connects to data warehouses? Data lakes? Yes / Yes Yes / No Yes / Yes
Transparent pricing Yes No Yes
Support SLAs Available No Available
Purchase process Options for self-service and talking with sales Requires a conversation with sales Options for self-service or talking with sales. Also available from the AWS store.
Compliance, governance, and security certifications HIPAA, GDPR GDPR HIPAA, GDPR, SOC 2
Data sharing Yes, within AWS No Yes, through Talend Data Fabric
Vendor lock-in AWS Glue is strongly tied to the AWS platform. Usage is billed monthly. Annual contracts only. No open source Month to month or annual contracts. Open source integrations
Developer tools 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

AWS Glue

AWS Glue provides 16 built-in preload transformations that let ETL jobs modify data to match the target schema. Glue generates Python code for ETL jobs that developers can modify to create more complex transformations, or they can use code written outside of Glue.

Data Virtuality

Data Virtuality focuses on the E and L, extraction and loading, of ELT. It extracts raw data from sources and loads it into destinations without performing transformations.

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 Glue

AWS Glue supports AWS data sources — Amazon Redshift, Amazon S3, Amazon RDS, and Amazon DynamoDB — and AWS destinations, as well as various databases via JDBC. Glue can also serve as an orchestration tool, so developers can write code that connects to other sources, processes the data, then writes it out to the data target.

Data Virtuality

Data Virtuality provides three solutions: - The Pipes data pipeline includes access to almost 60 prebuilt connectors - Pipes Professional supports almost 200 integrations to SaaS platforms and databases - Logical Data Warehouse combines ETL capabilities with data virtualization to present connected data in one virtual layer They support Amazon Redshift, Google BigQuery, Microsoft Azure SQL Data Warehouse, and Snowflake data warehouses, along with on-premises data warehouses Pivotal Greenplum, SAP HANA, HP Vertica, and Exasol, and databases such as PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. 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.

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 Glue

AWS provides several levels of support. Free Basic support provides access to support forums. Develop support adds client-side diagnostic tools and guidance on how to use AWS products, features, and services together. Business and Enterprise plans add additional options. Documentation is comprehensive. Both digital training and classroom training services are available.

Data Virtuality

Data Virtuality provides support through Intercom online chat and via email. Documentation on Pipes and Pipes Professional is unavailable online. The company doesn't provide training services.

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 Glue

AWS Glue ETL jobs are billed at an hourly rate based on data processing units (DPU), which map to performance of the serverless infrastructure on which Glue runs. For the AWS Glue Data Catalog, users pay a monthly fee for storing and accessing Data Catalog the metadata. The first million objects stored are free, and the first million accesses are free. A development endpoint provisioned to interactively develop ETL code is billed per second.

Data Virtuality

Data Virtuality provides a 14-day free trial, but doesn't disclose pricing.

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.