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Bridge the gap between data and business by creating a shared vocabulary for clear insights.
Define and manage all your business terms in one central data dictionary. Create glossaries, categorize terms, and add clear definitions, so every team shares the same understanding of what your data means and can trust the numbers they report.
Add ownership to terms, ensuring accountability and clear communication. Rich-text descriptions allow for detailed explanations, fostering a deeper understanding of each term's context and usage. Furthermore, assigning domains helps categorize terms logically, while the ability to link related terms strengthens the overall knowledge base within your Glossary.
Same objective, one platform: catch broken pipelines and bad data before they reach your dashboards.
Describes the technical structure of your data: tables, columns, data types, owners, and classification.
Defines business terms in plain language, so analysts and business stakeholders share one trusted vocabulary.
In Decube, every glossary term links to the columns and lineage it describes, so definitions never drift from the data they govern.
Define terms, assign owners, and connect meaning to the real data, all in one place.
Define and organize all your business terms and metrics in one shared repository.
Assign an owner to every term so accountability and context are always clear.
Connect each term to the tables, columns, and lineage it describes.
Review and approve changes so definitions stay trusted and governed.
Find the right term and its meaning in seconds, across your whole stack.
Tag sensitive terms and keep governance and compliance in sync.
Decube connects to your warehouses, lakes, and BI tools in minutes, with no data leaving your environment.
Technical metadata for every table and column is pulled in automatically, so you start from your real schema.
Teams layer plain-language definitions, owners, and domains on top, each linked to the data it describes.
If any of these sound familiar, your data is missing a shared source of truth.
Teams argue over what a metric means, like what counts as an active customer.
Analysts keep asking which table or column they should use.
New hires take weeks to understand what your data means.
The same term shows different numbers in different dashboards.
Auditors or regulators ask who owns a data element and how it is defined.
Key definitions live in people's heads, not in a documented, trusted place.
Built for regulated, data-heavy teams where definitions and ownership matter.
Prove consistent definitions and clear ownership of critical data elements for regulatory reporting.
A shared glossary for regulated and reporting terms
Definitions linked to the actual data assets
Consistent metrics across risk and finance
Clear owners and approval for every term
Align actuarial, risk, and finance teams on one trusted set of terms and metrics.
One business definition for policy and claims terms
Glossary terms linked to the source data
Consistent metrics across teams and reports
An approval workflow for new or changed definitions
Bring order to data spread across many systems with a shared business vocabulary.
A data dictionary across every source
Standard definitions for billing and usage metrics
Terms linked to the assets they describe
Ownership for each critical definition
Give large data teams one place to find what every term, metric, and field means.
A single glossary shared across every team
Business definitions linked to technical assets
Consistent metrics and terminology everywhere
Owned, approved, and easy to find definitions
Trusted by organizations operating under OJK, BNM, MAS, and APRA regulatory frameworks across APAC.
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and many more...
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Decube runs on a metadata-only architecture and meets the standards regulated teams require.
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.
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 !
A data dictionary is a central record of what every table and field means, its type, owner, and classification, so anyone can understand data correctly without asking the person who built it. Decube builds and keeps it current automatically from your connected sources.
A data dictionary describes the technical structure of data such as tables, columns, and data types; a business glossary defines business terms in plain language. Decube links the two, so business meaning and technical structure stay connected.
A data catalog is the searchable inventory of all your data assets across sources; a data dictionary details the fields within them. In Decube the dictionary and glossary sit inside the catalog, so definitions, structure, and discovery are in one place.
A useful data dictionary records each field's name, data type, description, owner, and sensitivity or classification. Decube populates these automatically from your connected sources, so you start from your real schema, not a blank template.
Decube connects to your sources and auto-populates technical metadata, then lets teams add plain-language definitions, owners, and domains on top, linking each glossary term to the columns and lineage it describes.
In Decube every glossary term links to the physical assets it describes and their column-level lineage, so a definition is traceable to the exact data it governs, not a standalone document that drifts out of date.
Book a 30-min demo with us and see how lineage, quality, governance, and compliance come together in a single platform.
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