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SOC 2 Compliant
Safeguarding your information with industry-leading standards.
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Decube is the data trust platform where catalog, lineage, quality and observability work as one, natively. No third party tool for monitoring. No separate contract for quality. No gap in accountability when something breaks. Every data asset, every pipeline and every decision sits on one layer of trust.
Unified discovery with catalog, metadata, and classification
AI-powered monitoring for data issues and anomalies
End-to-end lineage from dashboards to source
Alerts and impact analysis to resolve issues faster
See how Decube compares to Alation inorder to bridge context and trust for your data.
Native
Native
Advanced
Partial
Advanced
Partial
Advanced
Third-party dependency
Native
Partial
Context Layer
Native
Native
Native
Weeks
2-4 months
Transparent
Moderate
Native
Moderate
Modern data teams face growing challenges around trust, quality, and governance. Decube brings these capabilities together—so teams can make decisions with confidence.
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Decube is a data intelligence platform that helps teams understand, trust, and manage their data across analytics, AI, and operations.
The problems data teams face every day, and what Decube does about each one.
You detect issues early and fix them before anyone loses trust.
You see exactly where data comes from, how it moves, and what it affects.
You know who owns each dataset, who to contact, and who’s accountable.
You ship models with confidence, using governed and reliable data.
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Decube supports different teams across the data lifecycle—each with their own challenges, goals, and responsibilities.
Data teams lack visibility across fragmented tools
Issues surface only after dashboards or pipelines break
Root-cause analysis is extremely slow and manual
Lineage and governance exist, but lack real operational context
Unified observability, quality, lineage, and governance
Real-time issue detection with automated quality checks
End-to-end lineage for root-cause and impact analysis
Built-in governance and ownership to support analytics and AI
Spend Less Time Firefighting Data Issues
Detect data problems before they break dashboards or pipelines
Trace issues back to the source in minutes, not hours
Clearly define ownership and accountability across datasets
Spend less time explaining data, and more time using it.
Know which dashboards and reports rely on which data
Reduce confusion and back-and-forth when numbers don’t match
Make decisions with confidence, backed by reliable data
Build Models on Data You Can Rely On
Train models on governed, high-quality datasets
Understand data lineage and changes before models break
Reduce silent failures in production pipelines
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Rated 4.6/5 on
Automation of Monitors
Data Lineage
Their data contract module is amazing which virtualises and runs monitors.
Big fan of their UI/UX, it simple but managing all the complex task.
My team uses on a daily basis.
Seamless integration with all the data connectors. We also liked the new dbt-core connector directly integrated with Object storage.
Automated Column-Level lineage
Perfect blend of Data Catalog and Data Observability modules.
Business users are able to understand if the reports /dashboard have issues / incidents.
Personally liked the monitors by segment since we have mulitple business it provides incidents breakdown by attributes.
UX and UI, features, flexibility and excellent customer service. People like Manoj Matharu took the time to understand my business and data needs before trying to solution.
One of the best-designed data products. Our complete data infra is getting observed and governed by decube. My fav is the lineage feature which showcases the complete data flow across the components.
What I appreciate most about Decube is its intuitive design and the way it supports maintaining data trust. The platform allows for straightforward monitoring of data quality, making it easier to detect issues early on.One of the most valuable aspects is the transparency it brings to our data pipelines, which also streamlines collaboration among teams. The greatest benefit is the assurance that our data remains accurate, consistent, and prepared for decision-making, all without the need to spend countless hours troubleshooting.
Decube is packaged of solution for us. We were struggling to find one good tool in which we can intigrated with our existing data stack we are using mysql. As a DevOps we used to write crond jobs to check data quality but when we adapt this tool the work and quality both are improved. I highly recommend !
Read this case study of Data Governance for a leading FinTech
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and many more...
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Safeguarding your information with industry-leading standards.
Ensuring your information is protected with the highest level of integrity.
Ensuring the confidentiality and integrity of your healthcare data.
Protecting personal data with robust privacy and security measures.
Your data is encrypted in motion with TLS and at rest with AES-256.
Most teams replace. Decube covers catalog, lineage, quality and observability in one platform, which is the set most teams are assembling from two or three tools. If you already have Alation deployed with policies and glossary terms written, those can be migrated rather than rebuilt. The question worth asking either vendor is which of the four capabilities are included in the base price and which are a separate line item.
Yes. Decube connects to the warehouse, lakehouse, transformation layer and BI tools you already run, and reads their metadata rather than requiring you to move anything. Ask us for the current connector list for your specific stack, which is the fastest way to answer this properly.
Yes. Schema change detection runs continuously alongside freshness and volume monitoring, and an alert routes to the named owner of the affected asset. Column level lineage then shows what sits downstream of the change, so "what does this break" is answered on the same screen.
Yes. Column level lineage traces each column upstream and downstream across systems, including the joins that produced it, so you can see which sources feed a field and which reports depend on it.
Weeks, and no. Decube is delivered as software as a service and does not require a professional services engagement to reach a working deployment. That is the main practical difference from an enterprise governance suite, where the implementation is usually measured in months and quoted separately.
Get a quick overview of Decube or dive into the documentation before booking a demo.
ML-powered data monitoring
Instant discovery and cataloging
End-to-end data lineage
Secure, in-environment deployment
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