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.
No features have been listed yet.
No Upsolver videos yet. You could help us improve this page by suggesting one.
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 Upsolver. 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
Most of the pains of using query engines over object storage are in the ongoing management of files (partitioning, compression, merging many small files into fewer larger files) Cloud data lakes are tremendously valuable when it comes to exploratory and ad-hoc data analysis. If you really require sub-second queries on structured data, you're better off with a data warehouse. I'm not totally clear on your use... Source: almost 3 years ago
Octopai - An automated, centralized, cross-platform metadata search engine that enables BI groups to quickly and precisely discover and govern shared metadata.
Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.
Atlan - Atlan is an advanced data workspace developed to offer benefits to many different sources of data.
IRI Voracity - IRI Voracity is an automated data management platform that helps you extract, transform and load (ETL) your data lake to any data warehouse or cloud.
Metaplane - Metaplane is the Datadog for Data โ a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.
Mozart Data - The easiest way for teams to build a Modern Data Stack