Flexible Ingestion

Q: What data ingestion options does Datacoves support?

From Azure Data Factory, to Fivetran, Airbyte, Databricks, to dlthub or your custom Python frameworks, Datacoves offers managed Airbyte and has the flexibility to plug in any ingestion tool you need. With Datacoves, your data ingestion adapts to your strategy, not the other way around.

Q: Can I use my own ingestion tools with Datacoves?

Absolutely. Datacoves integrates smoothly with your existing ingestion tools to enable a unified, seamless process. There is no need to change ingestion tools that work for you and if the need arises to add something else, with Datacoves you have options.

Q: How does Datacoves ensure reliable and scalable ingestion?

Datacoves scales with demand adding compute and scaling back down as needed. The platform delivers performance you can count on so your teams spend less time managing infrastructure and more time delivering insights

Ingest Data, Your Way, At Speed

Tailor your ETL pipeline with the connectors you trust or leverage our managed tools. Datacoves lets you mix and match to meet your ingestion needs without compromising on performance, security, or flexibility.

See it in Action

Managed Airbyte

Effortless data integration with our fully managed Airbyte service. Streamline your data pipelines without the operational overhead and fewer contracts to manage.

BYOIT

Bring Your Own Ingestion Tool. Integrate Databricks, Glue, dlt, Fivetran, ADF, Streamsets, Informatica, and more

Trigger external tools

Easily trigger external tools within your workflows in Datacoves. Integrate your existing processes while enhancing end-to-end automation.

Use your custom ingestion framework

Seamlessly integrate your existing data ingestion framework with Datacoves. Tailor your data processes to meet specific business needs.

See how Datacoves help transform data operations

J&J's data evolution: Innovating with Datacoves & dbt

“Datacoves really is a framework accelerator for us. They really are bringing automation tailored to our needs.”

Bart Vandendriessche, Manager Technology Services

Read Story

Frequently asked questions

Find answers to your questions below. Contact us if you couldn't find what you're looking for.

What data ingestion options does Datacoves support?

From Azure Data Factory (ADF), Amazon Glue, Fivetran, Airbyte, Databricks, and dlthub, Datacoves supports any ingestion tool.

Can I use my own ingestion tools with Datacoves?

Yes. Datacoves integrates seamlessly with existing ingestion tools, so there is no need to replace what works.

How does Datacoves ensure reliable and scalable ingestion?

Datacoves scales compute up and down on demand, so teams spend less time on infrastructure.

We already use Fivetran. Do we need to change anything?

No. Datacoves is designed to integrate with ingestion tools you already use, including Fivetran, ADF, Informatica, Streamsets, and others. You keep your existing contracts and workflows. Datacoves sits alongside your ingestion layer, orchestrating downstream transformation and deployment via Airflow and dbt.

What is Managed Airbyte and when would we use it?

Managed Airbyte is Datacoves' fully managed version of the open-source Airbyte connector platform. It gives you access to hundreds of pre-built connectors without having to manage infrastructure or upgrades. Teams that do not have an existing ingestion tool or want to consolidate contracts often start here. Teams that already have Fivetran or another tool can continue using it and simply plug it into Datacoves via Airflow triggers.

Can we use multiple ingestion tools in the same Datacoves environment?

Yes. Datacoves supports a mix-and-match approach: Managed Airbyte for some sources, Fivetran for others, custom Python frameworks for specialized needs. Everything is orchestrated through a single Airflow environment, so you have one view of your pipeline, regardless of which tool moved the data.

How are ingestion workflows triggered and monitored?

Ingestion jobs can be triggered directly from Airflow DAGs, keeping ingestion and transformation in a single orchestration layer. Datacoves provides out-of-the-box alerting via email, Slack, and Teams, so failures surface immediately. Grafana is also available.

Why do enterprises trust Datacoves for managing data?

“Datacoves enabled us to reduce time to market by delivering a secure pre-configured environment for dozens of Analytics Engineers and to implement best-in-class DataOps processes on a dbt and Snowflake foundation”

Tobias Temmink - data management lead J&J

Emilio Gomez

Data Management Lead at Johnson & Johnson

“Without Datacoves I would have needed a whole team to get all of these services put together and integrated”

Eugene Kim

Data Architect at Orrum Clinical Analytics

“Datacoves solves the infrastructure problem. Datacoves packages together all the tools needed to support data teams of all sizes.”

Nate Sooter

Senior Manager Business Analytics at Insightly

“The stability, Kubernetes-backed scalability, and overall reliability of the Airflow environment have been the cornerstone of achieving our data system goals.”