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Datacoves

By Datacoves Inc

4.7 out of 5 stars
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Datacoves Demo - VS Code in the browser
Develop with dbt Core in a pre-configured environment with extensions like the official Snowflake Extension, SqlFluff, and python libraries like Snowpark, dbt-coves, etc. Ultimate flexibility built for enterprise complexity.
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Datacoves Reviews (15)

Reviews

Datacoves Reviews (15)

4.7
15 reviews

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Verified User in Retail
UR
Mid-Market (51-1000 emp.)
"Simplified Our Data Stack and Gained Full Control — Without the Infrastructure Burden"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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

Otavio R.
OR
Tech Lead
Enterprise (> 1000 emp.)
"Good integration framework of modern stack"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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.

Sergey P.
SP
IT Lead DataOps Data Engineer
Enterprise (> 1000 emp.)
"Reliable platform with excellent support and expert guidance"
What do you like best about Datacoves?

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

What do you dislike about Datacoves?

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

Verified User in Information Technology and Services
UI
Small-Business (50 or fewer emp.)
"Customizable, but easy to get started"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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.

Verified User in Consumer Goods
EC
Mid-Market (51-1000 emp.)
"Comprehensive Analytics Platform"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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.

NS
Mid-Market (51-1000 emp.)
"All-In-One Data Stack in the Cloud"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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.

Martin R.
MR
Manager, Software Engineering
Small-Business (50 or fewer emp.)
"A valued partnership"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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.

Eugene K.
EK
Data Architect
Small-Business (50 or fewer emp.)
"A Thoughtful Data Engineering Process as a Product"
What do you like best about Datacoves?

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.

What do you dislike about Datacoves?

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.

Liam E.
LE
Account Executive
Mid-Market (51-1000 emp.)
"The ELT Stack All In One App!"
What do you like best about Datacoves?

Datacoves has simplified my organization's ELT process by providing some of the best in breed data engineering and orchestration tools in one unified application. I look forward to logging into Datacoves every day which I can't say about some of my other business applications. The support is also fantastic. Noel and the team are incredibly knowledgeable about the data engineering ecosystem. I always learn someeting new from our conversations. Review collected by and hosted on G2.com.

What do you dislike about Datacoves?

I don't have any qualms with Datacoves. I could see some being frsutrated with being locked into the tools you're using for ELT, but for us specifically those tools are the perfect fit. Review collected by and hosted on G2.com.

Craig L.
CL
Operating Partner - IT & Data
Small-Business (50 or fewer emp.)
"Very Nice End to End System"
What do you like best about Datacoves?

Datacoves brings a very well-thought-out devlopment to deployment system. Previously we were using a somewhat standard structure as recommended by DBT. I like the Datacoves methodology far better. The project structure and workflow you inherit by working with them saves a ton of work.

Having the full data pipeline hosted in a single location is fantastic as well. Overall, I highly recommend their system. Review collected by and hosted on G2.com.

What do you dislike about Datacoves?

I can't identify any specific downsides. The support has been excellent. We've run into a few issues, but they were fixed almost immediately. Review collected by and hosted on G2.com.

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