Disrupting the status quo for data movement

Extract is purpose-built for data teams that demand cost efficiency, high performance, and deep customization. Whether you’re a data engineer managing complex pipelines, an analytics engineer shaping transformations, or a data analyst driving insights—Extract delivers the performance that exceeds expectations.

Expensive from day 1

Developing a codebase internally or deploying and being forced to learn someone else’s open-source code takes time, and the upfront cost is quite high.


Maintenance never ends

APIs change data breaks, partners update formats, and suddenly, your teams spend more time fixing than shipping.


Your engineers deserve better

Reinventing the wheel
No maintenance

No coding is required; just enter your credentials, and you can be up and running within minutes. There is zero maintenance, but read on to understand the drawbacks.


It starts off expensive

Existing cloud ELTs are built inefficiently, using Java and Python, significantly driving your data stack costs.


Limited functionality

To cover for their inefficiencies, existing ELT tools are stripping away core functionality like logs in the Ul, custom alerting, custom transformations, and more.


It ends up being exorbitant

Once you reach a certain scale, you will face pressure to find cheaper alternatives or possibly reconsider building in-house.

Level-up to the most efficient data pipeline—powered by Rust. Extract offers lightning-fast, flexible data movement with an intuitive UI, powerful APIs, and rock-solid debugging—at affordable rates.



FEATUREFivetranAirbyteStitch
Cost$$$$$$$$$$
LanguageRustPython / JavaPython / Java, additional languages (relies on open source connectors)Java
CustomizabilityHighMediumMediumLow
Connector ReliabilityHighHighMost connectors are open source, and there are no guaranteesMedium
Log QualityReal-time, highly curated, in-product visibilityNot real-time, lacks in-product visibilityMixed, open-source connectors may not have logs at allLow, separates the “extract” logs from the “load” logs
Schema evolutionAutomatic, full change log in the product/APIAutomatic, change log not accessible in product/APIAutomaticAutomatic, change log in the product
MonitoringCustom trigger expressions. Supports slack, email & webhooks.Limited hard-coded triggers, only supports email.Basic monitoring via UI and API. Lacks custom alert rules.Basic email alerts
TransparencySystem event log, schema changes, run history, query interface across all runs, APILimited, logs not in product, schema changes not visible, no audit logThe UI shows the job history and run status, but no audit log exists. Logs viewable per-connector and per-jobLimited, very hard to associate extracts with loads
ScalabilityEnterprise-grade at reasonable costsEnterprise-grade but prohibitively expensiveMay vary, no guarantee or support on a lot of their connectorsSlower development pace, many missing connectors

How it works

Connect sources & destinations

Simply integrate your data sources with Extract through our intuitive, self-service interface. No coding required—just a few clicks to link your systems.

Configure your pipelines

Set up data pipelines tailored to your needs. With powerful customization options, Extract gives you complete control over data flow.

Let Extract do the work

Once configured, Extract automates the extraction and loading of your data. You can trust that it runs efficiently and securely in the background.

Monitor and optimize

Keep an eye on your data pipelines with full visibility. Track progress, monitor performance, and adjust as needed—all from a user-friendly dashboard.

Ready to upgrade your data pipeline?

Stop overpaying for slow, opaque, and inflexible ELT solutions.
Extract delivers unmatched speed, efficiency, and transparency at a fraction of the cost.