Sold by: Decube Data Pte Ltd
decube is a unified platform that integrates with your data stack enabling you to effortlessly monitor, manage and govern your data assets with its Data Observability, Catalog and Governance modules.
4
Overview
decube is a unified platform that integrates with your data stack enabling you to effortlessly monitor, manage and govern your data assets with its Data Observability, Catalog and Governance modules.
decube's Data Observability module enables data teams to understand the state and the quality of their data across their data infrastructure including data pipelines. With decube's automated and custom data quality test functionality, data teams are able to continuously monitor their data pipelines and receive alerts on their preferred communication tools (MS Teams, Webhook, Email or Slack) on failures. This drastically reduces the time and effort needed to identify and resolve data quality incidents allowing data engineers to be more productivity.
In addition to that, we have observed a very common challenge among companies embracing the data driven culture, where there's a great lack of visibility and understanding of the available data in their organisation. This hampers the organisation from making strategic business decisions at the right time. With decube's Data Catalog module, organisations are able to seamlessly discover the available data in their organisation and provide meaningful definitions to their data serving as a knowledge base to align everybody's understanding of the data.
Govern access to sensitive and regulated unstructured data across applications, files and storage devices.
Once you have the visibility of your data in your organisation it's very important that you govern the collection, storage, use and dissemination of data in your organisation. By governing your data, you will be able to avoid the costly consequence of poor data management. decube's Data Governance module comes equipped with the below listed critical functionalities:
- Automated data classification: classifies data based on its sensitivity allowing organization to have visibility on the type of data owned and effectively prioritise security efforts to protect their most critical data.
- Data lineage: provides the visibility on the journey of the data from its source to the destination.
- Policy management: This pertains to the creation, implementation, and enforcement of rules and guidelines. In the context of data governance, these rules could be about who has access to certain datasets, the quality checks data must undergo, retention policies, and more.
- Approval flow: enforces a change review process before a specific change is applied. This ensures reliable information is stored and managed within decube.
- Group management: granular access management functionality, enabling organisations to grant the right level of access for the data assets to its users.
Highlights
- Seamless Integration: Integrates seamlessly with your data stack to provide end-to-end visibility of your data.
- Continuous Monitoring: Observe your data stack and receive alerts for data quality issues detected.
- Data Governance: Powerful data governance functionalities allowing you to further strengthen the process of classifying, collecting, storing, using and disseminating of data in your organisation.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Starter | 250 Monitored Tables, 50 Data Recons, 10 Users, Unlimited governance | $25,000.00 |
Growth | 2000 Monitored Tables, 1000 Data Recons, 100 Users, Unlimited governance | $75,000.00 |
Dimension | Cost/unit |
|---|---|
Additional cost per user | $10.00 |
Additional cost per monitored table | $0.99 |
Additional cost per data recon | $0.99 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Decube Data Pte Ltd
By Monte Carlo Data
By Securiti
Top
25
In Data Catalogs
Top
10
In Data Governance
Top
25
In Data Security and Governance, Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Quality Monitoring
Automated and custom data quality tests with continuous monitoring of data pipelines and alert notifications through MS Teams, Webhook, Email, or Slack
Data Catalog and Discovery
Seamless discovery and cataloging of available data assets across the organization with meaningful definitions and metadata management
Automated Data Classification
Automated classification of data based on sensitivity levels to provide visibility on data types and prioritize security protection efforts
Data Lineage Tracking
Visibility into data journey from source to destination across the data infrastructure and pipelines
Access Control and Policy Management
Granular access management with group-based permissions, policy creation and enforcement, approval workflows for changes, and governance of sensitive and regulated data across applications and storage devices
Data Quality Monitoring
Machine learning-based monitoring and alerting for data quality issues across data warehouses, data lakes, ETL pipelines, business intelligence, and AI tools
Root Cause Analysis
Automatic root cause identification and impact assessment with end-to-end field-level lineage for data issues
Proactive Issue Detection
Proactive identification of data issues across the data stack before stakeholder notification
Data Lineage and Cataloging
Automatic field-level lineage tracking and centralized data cataloging for data asset accessibility, location, health, and ownership
Multi-Stack Integration
End-to-end observability platform supporting data warehouses, data lakes, ETL systems, business intelligence tools, and AI applications
Multi-Dimensional Data Intelligence
Multi-dimensional knowledge graph for contextual insights about company data and AI models across hybrid multicloud and SaaS environments
Data Classification and Discovery
Out-of-the-box classifiers for structured and unstructured systems capable of identifying hundreds of sensitive data elements across petabytes of data
Data Security Posture Management
Built-in Data Security Posture Management (DSPM) and Data Security Platform (DSP) functionality for securing sensitive data in hybrid multicloud and SaaS environments
Broad System Connectivity
Support for hundreds of built-in connectors enabling integration with public and private clouds, data lakes, warehouses, SaaS applications, and data streaming systems
Automated Privacy Operations
Privacy management technology with built-in regulatory context to automate privacy operations using data intelligence
Standard contract
No
No
Customer reviews
Kamlesh Pant
Data lineage has improved visibility and monitoring now detects issues and alerts teams quickly
Reviewed on Feb 18, 2026
Review from a verified AWS customer
What is our primary use case?
Decube is being used to build a data glossary, data catalog, lineage, data monitoring, and observability. After using Decube for three to four months, I believe it looks good now. It operates at the SaaS level, so you simply connect the data sources and it builds a catalog with observability and schema drift detection. The tool provides all of that functionality in a seamless manner.
What is most valuable?
The data lineage chart is definitely helpful because it allows us to traverse how data flows from the source to the report layer, providing full visibility of how the system works.
Regarding automation, automated data health checks are valuable. If there is any drift, data quality issue, data over-range issue, or missing data, the tool detects it and sends notifications to the concerned team. Alerting mechanisms are available through multiple channels including email.
Decube generates reports regarding what has happened. Through the API capabilities, I can build monitors, glossaries, and linked assets, which has been very helpful. The API capability is supporting a lot of functionality.
Regarding data governance, Decube does help improve it in the company. Once it is fully available, it will definitely help the whole team by providing visibility into which data is coming from where and by addressing any reporting or data quality issues.
What needs improvement?
There are a few drawbacks to the product. If I delete any record, it is not immediate and does not allow me to create the assets again. The system indicates that the asset is already available. We are checking with the team to understand what the problem is.
Another issue is that if there are system-level monitors, there is no way to update them through the API, so API support is needed for them.
For how long have I used the solution?
I have been working on Decube for the last three to four months.
What do I think about the stability of the solution?
I did not see any stability problems as of now because we are not yet in production. In the development environment, everything looks good.
What do I think about the scalability of the solution?
Regarding scalability, it should be scalable since it is on Kubernetes .
How are customer service and support?
I have dealt with technical support from Decube. Regarding the effectiveness of technical support, they are helpful and doing a good job. If I would rate support from zero to ten points, I would give them seven. They connect us through email and Teams chat. We get responses, though there is some delay, but at least we receive responses, so I would rate them at six or seven.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I have worked with Collibra previously, but I am currently working on Decube. I have been in the data governance and IT products sphere for three to four years and have worked with Ranger and other tools.
How was the initial setup?
Regarding the installation of the product, I do not have experience with it as it is a DevOps activity. Decube is Kubernetes-based, and both Decube and our DevOps team support it.
What about the implementation team?
I work as an integrator.
What was our ROI?
Regarding ROI, it is yet to be proven. We are exploring the tool for the last three months and are yet to be in production, so only then will we know what benefit we are providing to the client.
Which other solutions did I evaluate?
I am currently using Decube for data governance. I have worked with Collibra previously, but I am now working on Decube.
What other advice do I have?
Currently, I work with other tools on various data governance activities. For data governance specifically, Decube is the only tool I am dealing with.
Which deployment model are you using for this solution?
Hybrid Cloud