Data Automation

Where does Switchboard sit in the data automation space?

Phil Apr 27

Table of Contents

    There are many data automation tools on the market today. So many, in fact, that wading through every point solution that claims to solve all your data challenges soon becomes an overwhelming experience.

    In this short guide, we’ll compare the top data automation solutions on the market today.


    First up is Switchboard, a trusted turnkey data engineering automation platform.

    Switchboard’s data model uses the ETL (Extract, Transform, Load) data pipeline approach by extracting your data from all your disparate sources, unifying it and transforming it into the format you need, and loading it into your data warehouse of choice.

    How to automate your data with Switchboard in simple steps:

    • Plug into Switchboard’s fully integrated automation engineering platform to build your own customized data stack
    • Connect your existing data sources – from digital marketing platforms, ad networks, e-commerce, retail media, data warehouses, databases, email reporting and more
    • Let Switchboard do the heavy lifting of extracting, aggregating, normalizing and monitoring your data – while you maintain full ownership and control
    • Pull custom views of the data for reliable, ad hoc reporting according to your team’s individual needs
    • Rapidly deploy new connectors as and when you need, with no additional engineering resources
    • Access one single source of truth for credential management, version control, security, and governance as your data grows
    • Tap into Switchboard’s team of domain experts, on-hand to help deal with unexpected API changes or outages, so you can continue to pull the freshest, most accurate data possible

    Switchboard automates all of these things, so that you can spend more time focusing on your business – and ultimately – grow without risk.

    Read more: Orangetheory Fitness unifies disparate data to drive marketing efficiency


    Another similar platform is Matillion, which also uses the ETL data pipeline approach with virtually universal connectors. Also in a no-code environment, you can build your ETL pipeline in minutes and have quick access to transformed data in a data warehouse of your choice.

    The benefit of Matillion lies in its ability to assemble BI-ready data and build data workflows. However, it doesn’t have native analytics or BI tools built into the platform. So you’ll need to connect Matillion to another third-party tool for this. Also doesn’t scale well so may not be viable as you move from terabytes to petabytes of data.

    Matillion also has a credit-based pricing strategy where you pay as you go for new instances or creating new rows of data (which can quickly add up).


    Fivetran is another low-code data automation platform, but instead of running the data pipeline as ETL, it uses the ELT (Extract, Load, Transform) approach. This means your data gets loaded into your data warehouse of choice first, and is then transformed at its destination.

    Another interesting feature of Fivetran is having access to pre-built data models to help answer ad hoc questions and deliver new reports. You can also use Fivetran to replicate on-premises to the cloud.

    Fivetran’s pricing model is based on the number of monthly active rows, making it an affordable solution for businesses of all sizes, although estimating the monthly active rows can be tricky, making forecasting costs difficult.

    Also, the platform may not offer as many customization options as some other data integration platforms. There are still hundreds of sources that Fivetran does not support, and custom connectors are created by wrapping the source in an Azure Function – requiring effort and technical expertise which can negate the value proposition.


    Staq is another low-code business logic platform for ETL data pipelines. It offers quick access to transformed data in a data warehouse and the ability to assemble BI-ready data and build data workflows.

    However, Staq also doesn’t have native analytics or BI tools, so again, you’ll need to connect it to another third-party tool for deep analytics. On the pricing side, Staq also uses a credit-based strategy where you pay as you go for new instances or creating new rows of data.


    Stitch is a cloud-based data integration platform that helps businesses move and manage their data more efficiently. It provides a simple and reliable way to connect to various data sources, such as databases, SaaS tools, and APIs, and stream the data into a data warehouse.

    With Stitch, users can extract, load, and transform their data in real time, making it easy to access and analyze their data. The platform also offers robust security and privacy features, as well as scalability options for businesses with growing data needs. Stitch’s pricing model is based on the amount of data ingested, which makes it an affordable solution for businesses of all sizes.

    However, Stitch may not have as many pre-built integrations as some other data integration platforms, and some advanced features may require additional customization work.

    If you need help unifying your first or second-party data, we can help. Contact us to learn how.

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