decube is an all-in-one package solution for data observability, catalog and governance. We provide a feature-rich solution for organizations who want a unified solution for their data stack for different groups of users to discover, curate and collaborate on data assets all in one place.
Here's what you can expect after using decube: - Spend less time fire-fighting data incidents and build trust with internal stakeholders from reliable data. - Get complete visibility and understanding of data going into AI/ML models to develop accurate models for real business impact. - Discover quickly the data you need to make informed decisions and break down data silos between teams. - Protect your sensitive and PII data by implementing strict access controls to only allow access to teams that need to know.
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I tried their trial version, absolutely stunned how they think from data engineer point of view. Their recon is quite unique and fast to process. I was amaze to see SSH connection selection with Postgresql.
Based on our record, Jupyter seems to be a lot more popular than decube. While we know about 206 links to Jupyter, we've tracked only 9 mentions of decube. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Just deploy - decube.io or soda.io and go to sleep. Source: about 1 year ago
I went with a managed service which is way cheaper (decube.io) . Its way cheaper too <10k / year. Source: about 1 year ago
Decube was the one we boiled down to - fairly a new company based in Singapore and provides hosting option too on all clouds. Source: about 1 year ago
Agreed, my reservation with GE,dbt_GE or Soda is that it doesn't help in Metadata Lineage. So if jobs fail I don't know what the downstream impact. We can use Datahub, but hosting cost is around 6-10k per year. I would rather buy something like decube.io or Metaplane. Source: about 1 year ago
Alternatively to GE, I prefer soda.io (cloud) or decube.io (community edition). Source: about 1 year ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 29 days ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
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