Datacoves reviews. Is Datacoves good?

Datacoves

Managed dbt & Airflow with in-browser VS Code. With the most flexible AI Co-Pilot.

Accelerate development with AI assistance that's integrated securely with your LLM of choice.

The Datacoves platform helps enterprises overcome their data delivery challenges quickly using dbt and Airflow, implementing best practices from the start without the need for multiple vendors or costly consultants. Datacoves also offers managed Airbyte, Datahub, and Superset.

A startup from Thousand Oaks, the United States that is founded by Noel Gomez, Sebastian Sassi.

5.0

(2 reviews)

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Pricing:

Paid
Free Trial
$300 / Monthly (Book a call for pricing)
Official Pricing

Platforms:

Dbt
Airflow
Snowflake
Databricks

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Verify Datacoves Edit

Features & Specs

Data Extract and Load

Airbyte, Fivetran, dlt, Python

dbt Development

VS Code, Sqlfluff, dbt-checkpoint, data preview, etc

AI Co-Pilot

Azure Open AI, Open AI, Claude, Gemini, etc

Documentation

Managed Datahub

Orchestration

Hosted Airflow on Kubernetes

DataOps

Github, Gitlab, Bitbucket, Jenkins

Superset, Tableau, PowerBI, Qlik, Looker

Hosting Options

SaaS or Private Cloud deployment

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Questions & Answers

As answered by people managing Datacoves.

What makes Datacoves unique?

We provide the flexibility and integration most companies need. We help you connect EL to T and Activation, we don't just handle the transformation and we guide you to do things right from the start so that you can scale in the future. Finally we offer both a SaaS and private cloud deployment options.

Why should a person choose Datacoves over its competitors?

Do you need to connect Extract and Load to Transform and downstream processes like Activation? Do you love using VS Code and need the flexibility to have any Python library or VS Code extension available to you? Do you want to focus on data and not worry about infrastructure? Do you have sensitive data and need to deploy within your private cloud and integrate with existing tools? If you answered yes to any of these questions, then you need Datacoves.

How would you describe the primary audience of Datacoves?

Mid to Large size companies who value doing things well.

What's the story behind Datacoves?

Our founders have decades of experience in software development and implementing data platforms at large enterprises. We wanted to cut through all the noise and enable any team to deploy an end-to-end data management platform with best practices from the start. We believe that having an opinion matters and helping companies understand the pros and cons of different decisions will help them start off on the right path. Technology alone doesn't transform organizations.

Which are the primary technologies used for building Datacoves?

Datacoves runs on Kubermetes on our SaaS or in a customer's private cloud.

Who are some of the biggest customers of Datacoves?

Johnson & Johnson
Janssen
Kenvue
Guitar Center
Orrum

Reviews

Nate Sooter

· Senior Manager, Business Analytics at Insightly · about 3 years ago

All the data tools you need to run a world class team in one place

I manage analytics for a small SaaS company. Datacoves unlocked my ability to do everything from raw data to dashboarding all without me having to wrangle multiple contracts or set up an on-prem solution. I get to use the top open source tools out there without the headache and overhead of managing it myself. And their support is excellent when I run into any questions.

Cannot recommend highly enough for anyone looking to get their data tooling solved with a fraction of the effort of doing it themselves.

Competitors: Keboola

Pros: Quick and easy implementation|Scalable|Easy to use

Cons: Small company

Eugene Kim

· Data Architect at Orrum Clinical Analytics · over 3 years ago

Best-in-class open-source tools for the modern datastack, seamlessly integrated

The most difficult part of any data stack is to establish a strong development foundation to build upon. Most small data teams simply cannot afford to do so and later pay the penalty when trying to scale with a spaghetti of processes, custom code, and no documentation. Datacoves made all the right choices in combining best-in-class tools surrounding dbt, tied together with strong devops practices so that you can trust in your process whether you are a team of one or a hundred and one.

Pros: Powerful development environments|Seamless|Great customer support

Is Datacoves good?

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Public traffic stats of Datacoves

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What are your thoughts on dbt Cloud vs other managed dbt Core platforms?

Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: over 3 years ago

dbt Core + Azure Data Factory

Check out datacoves.com more flexibility. Source: over 3 years ago

Datacoves

Managed dbt & Airflow with in-browser VS Code. With the most flexible AI Co-Pilot.

Datacoves Reviews and Details

This page is designed to help you find out whether Datacoves is good and if it is the right choice for you.

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