decube VS Atlan
Compare decube VS Atlan and see what are their differences
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decube
Octopai
Metaplane
ULOSINO
Alation
Monte Carlo Data
Cloudera Navigator
Collibra
Atlan
MarkovML
Lyftrondata
Minitab Connect
Upsolver
Dataiku
Kylo
IRI Voracity
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, decube should be more popular than Atlan. It has been mentiond 9 times since March 2021. 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
After evaluating few solutions in the market: We were in the market to hunt for a solution which will cost under 10k (yearly) considering the cost of opensource will be similar considering DE resource and maintenance cost etc 1. MonteCarlo - Super duper expensive - Unable to hosting in Google Cloud 2. BigEye - Good features 3. Metaplane - Overall good package but when compared to catalog and other features it... Source: about 1 year ago
I've previously built data lakes on AWS with Glue and you get the data catalog for free but it isn't convenient to explore. Enterprise-grade data catalogs such as Alation are full featured and really decent but come at a higher cost. If your preference is open source, check out Atlan and Amundsen. Source: about 1 year ago
Octopai - An automated, centralized, cross-platform metadata search engine that enables BI groups to quickly and precisely discover and govern shared metadata.
MarkovML - Simply Drag, drop, and launch AI-powered workflows and applications to unlock your data's full potential.
Metaplane - Metaplane is the Datadog for Data — a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.
Lyftrondata - Lyftrondata is an end-to-end data delivery platform, providing the right digital transformation having rapid automation and optimizations in place, so one can do better management of their inventory.
ULOSINO - Learn and discover open source operating systems, like Linux and BSD, in a modern and welcoming setting.
Minitab Connect - Minitab Connect is a data management platform that comes with cloud-based data and integration workflows having data governance and integration tools.