What types of data sources can Databasin integrate with?
Virtually anything! We support structured and unstructured data from hundreds of sources, including databases, SaaS platforms, API’s and more.

Can Databasin handle unstructured data such as PDF’s?
Yes, our platform can read and extract text from unstructured formats, such as PDF, TXT, and even Shape files.

What security measures does Databasin have in place to protect sensitive data?
We offer enterprise-grade encryption, role-based access, and compliance with industry standards like HIPAA and GDPR.

Can Databasin be deployed on-premises or is it cloud-based?
The easiest way to install Databasin would be from the Azure Marketplace. We have a managed application that guides you through everything you need to get Databasin running within your own tenant. We do have solutions available for AWS and limited options for both GCP and on-premises, with more support to come!

How does Databasin compare to traditional ETL tools?
Traditional ETL tools can often be cumbersome and require a team of engineers to keep the pipelines running. Databasin takes a different approach – we give our users a point-and-click interface for ingesting artifacts, support advanced methods such as CDC, and take the guess work out of ELT/ETL workloads. We also offer a much more decupled (and fun) approach to running the “T” in ETL, which users love.

What are the key benefits of using prebuilt connectors versus custom integrations?
Our prebuilt connectors save time, reduce errors, and require zero custom code to set up. If you feel like this is just “too easy,” we do offer several connectors that you can extend as you wish.

How does Databasin ensure data quality and governance?
Databasin has several built-in DQ tools and allow users to easily setup tasks like count validation, automatic schema drift, and alerts. We are also very serious about Governance, and the entire software is designed to be your one-stop-shop for all things data. You can control hundreds of pipelines, thousands of automations, onboard team members into your analytics environment, or even control permissions to your external databases – all from the comfort of your Databasin admin console.

How does Databasin manage real-time data ingestion and processing?
When a user sets up a Pipeline or Automation task, they set a schedule. Currently Databasin supports “micro batching,” where you can set your run schedule to as little as 5 minutes. Long-term we will have real-time streams for those that need it.

Can Databasin integrate with existing enterprise data warehouses and lakehouses?
Absolutely. We support direct connections to all major cloud and on-prem storage solutions.

What industries benefit the most from using Databasin?
Healthcare, finance, retail—any industry that relies on clean, connected data.

How does Databasin handle error reporting and troubleshooting?
As a data product, we love… Data! As such, Databasin has a robust set of run metrics and logging capabilities to ensure all your Pipelines, Connectors, and Automations are easily visible and contain the information you need to make critical decisions.

What is the learning curve for new users adopting Databasin?
Minimal. Our intuitive UI makes it easy for both technical and non-technical users to get started.

Can non-technical users build and manage data pipelines with Databasin?
Yes! Our point-and-click interface and low-code automation make it accessible to everyone.

How scalable is Databasin for growing enterprises?
Infinitely scalable. Whether you’re a startup or an enterprise, Databasin grows with you.

What automation capabilities does Databasin offer for data transformation?
Databasin’s Automation module is designed to let you flex those technical muscles! We are not like the other guys—we support automations via SQL, Databricks Notebooks, Databasin Jobs, Docker Containers, Databasin Reverse ETL, and more.

How does Databasin support compliance with industry regulations (e.g., HIPAA, GDPR)?
We build compliance into every layer of our platform, ensuring your data meets all regulatory requirements.

What kind of support and training does Databasin provide for new customers?
We are happy to help anywhere we can. Onboarding, training, email support, and documentation will help get you started.

Can Databasin integrate with machine learning and AI workflows?
Yes—Databasin sits at the layer above AI, where we can feed data into systems such as cloud storage containers, databases, vector stores, and file shares. Then, if you are feeling fancy, you can automate other processes of your AI workflows with our Automations module.

What are the pricing and licensing options for Databasin?
Flexible pricing to fit your needs—contact us for a tailored plan that works for your business.

If Databasin runs in my Cloud, what costs can I expect?
Databasin runs in a secure resource group, inside your own cloud tenant. Because of that, we have “all in” pricing plans where you are not restricted by any number of pipelines or automations you can create. You will pay one flat price for the Databasin license to use our tool, and you will also pay the compute costs associated with running your jobs, in your own tenant. We use containers for everything. As such, Databasin is serverless, inexpensive, and flexible. We usually tell customers to budget $200-$300/month in cost for both running our application and ETL/Automation processing. Its typically an order of magnitude cheaper than other cloud-based data tools, and it’s completely private.

What is the difference between Databasin and products like FiveTran and Hevo Data?
From security features to Docker Container support, Databasin offers features the other guys just can't! Check out the table below for a direct comparison.