Datacoves Reviews & Product Details

Datacoves has made managing our data stack way easier. It brings dbt, Airflow, and a VS Code like environment together, so we don't have to deal with a bunch of separate tools or infrastructure.

It's also highly customizable, we recently added the Codex extension seamlessly

The developer experience is really solid, and getting started was pretty smooth. Their support team is also super responsive and helpful, which makes a big difference.

If you're looking to simplify your data workflows without managing everything yourself, it's definitely worth it. Review collected by and hosted on G2.com.

There's not much to dislike, The local Airflow environment ("My Airflow") is helpful for testing during development, but it still has some limitations. For example, triggering DAGs based on dataset events especially when those events need to come from external systems is not fully supported, which makes certain testing scenarios more difficult. Review collected by and hosted on G2.com.

I really like that working in Datacoves feels very familiar if you're used to VSCode. It makes dbt development very easy, and I appreciate the Airflow integration, which is nice. A major highlight is their support team, who are always quick to reply to issues, questions, and feature requests. Their documentation is very helpful for setting up different jobs or dbt configs. The initial setup was very straightforward, supported by detailed guides and quick assistance from the Datacoves team. Review collected by and hosted on G2.com.

The Airflow portion of the setup has been our biggest pain point. We've run into issues with the development area (called 'My Airflow') running out of memory, and the fact that it runs on a different executor than the production version (local file system vs Kubernetes) makes testing certain interactions a bit difficult. Review collected by and hosted on G2.com.

Before Datacoves, we were juggling multiple tools to manage dbt and orchestration — some hosted, some open source — and it created unnecessary complexity, especially as our team scaled and adopted multiple dbt projects. We knew we wanted the flexibility of dbt Core and Airflow, but building and maintaining that ourselves was complex.

Datacoves helped us streamline everything. They provided guidance on how to simplify our project structure, consolidate projects, and set up best practices that would’ve taken us longer to figure out on our own.

Now, every developer on our team has a consistent, ready-to-go workspace with dbt, Python, Git, and Airflow — all accessible through a browser-based VS Code. No local setup struggles, no flaky, and no confusion about where things run.

Their shared and user specific Airflow instances have been especially valuable. With separate dev and team environments, integrated Git syncing, and managed secrets, we’ve gained reliability without giving up flexibility.

Datacoves gave us the best of open source, with none of the overhead. And their team is genuinely helpful, they feel like an extension of our own. Review collected by and hosted on G2.com.

A bit of upfront planning needed to fully take advantage of the flexibility Review collected by and hosted on G2.com.

Their customer support is really open to improvements. I was contacted and I was able to discuss about the Grafana Dashboards that might be available in future releases. Review collected by and hosted on G2.com.

Sometimes some lack of dashboards like a Grafana integration to monitor activity would be useful to avoid over heading the customer support team in case of failures. It would be easier to control if we had a vision of how the Service is running and investigate bottlenecks or attention points. One case we have is when we, as a developer team, overload the Postgres running as background of Airflow. We do not have a clue when it will happen. Review collected by and hosted on G2.com.

Datacoves added copilot and model lineage right in vs code Review collected by and hosted on G2.com.

Provide more options to manage ingestion Review collected by and hosted on G2.com.

The datacoves product threads a really tight window of providing a solution which is relatively easy to get set up (versus implementing these components yourself) while still offering the flexibility to customize and layer your own technical architecture on top of their dbt/airflow/airbyte implementations. The team has been very responsive and supportive on assisting us in the implementation process. Review collected by and hosted on G2.com.

The trade-off of allowing for customization is that certain aspects which are "click button" in competing tool sets (ie. CI/CD for dbt) need to be implemented through your own tooling. Although it is really a benefit because you have tighter control over the processes, it does take some time to get everything implemented. Review collected by and hosted on G2.com.

Datacoves has accelerated our adoption of the modern data stack by providing a one stop shop of the most commonly used tools leveraged across the data and analytics industry.

The Datacoves team has been exceptional in the onboarding, consultation on best practices, customization, and providing troubleshooting assistance to our data engineering community for such a large scale adoption. Review collected by and hosted on G2.com.

The complexity of integrations and introduction of a suite of tools which are new to the organization can cause delays in wider adoption.

Organizations need to ensure the engineering skillset is ready to adopt the technology stack provided by Datacoves and fully understand the capabilities and best practices to realize the maximum value that can derived from the platform. Review collected by and hosted on G2.com.

Datacoves packages together all the tools needed to support data teams of all sizes. This isn't easy to do! If you don't use Datacoves, your options are to buy a disparate set of cloud based solutions, or hire engineering talent who can install it all on prem. Datacoves rises above both these options giving you both the advantages of the cloud and the best of open source.

The Datacoves team is immensely helpful getting everything off the ground in a fraction of the time it took me to install all this software on-prem on a prior project.

Hard to overstate how quickly Datacoves solved my infrastructure needs so I could focus on delivering business value.

Datacoves is also extremely responsive to customer questions, something you don't normally get when leveraging open source software. That's a huge hidden advantage to using their implementation of OSS instead of forging your own path. Review collected by and hosted on G2.com.

Maintaining andupdating OSS tools is finnicky and can lead to extra cycles of development time getting software updated. Datacoves does an excellent job walking you through the changes, but if you haven't coded much at all before or are not comfortable with open source packages or GitHub, you will have a bit of a learning curve to overcome. Review collected by and hosted on G2.com.

Some of the best things about working with Datacoves is they completely got what we were trying to achieve from our data solutions. For us, it was to solve the hard problem, of implementing a robust CICD solution for data warehousing and data pipelines. They had a a ready made solution (for us packaging airflow and dbt) with a nice code interface, that we could use to develop our pipelines and deploy them easily. This also allowed us to scale up a sizable team quite quickly and without the usual worries. I must say the technical expertise, quick support and response, along with some useful pointers have been invaluable to our project and it's continued success. Review collected by and hosted on G2.com.

There's not much to dislike, we had a predifined set of requirements and we are largely meeting those objectives on our project. Review collected by and hosted on G2.com.

The hardest problem in any company is the development of sound business processes that help get work done while providing guiderails to keep the process organized and well-managed. Smaller teams often do not have the capacity to develop these processes, and pay the tech debt later with interest. Datacoves distinguishes themselves from dbt by providing not just a tool, but a well-developed process for data engineering following the more established software industry best practices, with thoughtful tools to help guide developers without hindering them from their work. Working with Datacoves is like having a well-oiled data engineering team at my fingertips, being able to punch way above your weight. Review collected by and hosted on G2.com.

Datacoves provides an opinionated process that fits a vast amount of use-cases but not all. We had some cases that did not fit their built-in toolchain but thanks to the flexible nature of Airflow and Python and some help from Datacoves, we were able to custom-create new processes to fit our needs. Review collected by and hosted on G2.com.