# Decube > Decube is a unified data trust platform. It combines data observability and quality, a data catalog with automated metadata, column level lineage, a business glossary, governance controls, and data products in one system, so data teams and AI agents can act on data they can prove is correct. Decube runs on a metadata only architecture, meaning your data never leaves your environment, and it is SOC 2 and ISO 27001 certified. Decube is built for data governance and data platform teams in regulated enterprises, financial services first, then healthcare and telecommunications, and for mid sized data teams running a modern stack on Snowflake, Databricks, BigQuery, dbt, and Fivetran. Typical users are heads and managers of data governance, data quality leads, and data platform engineers who must prove to a regulator how a reported number was derived, show who owns each data asset, control where sensitive data sits, and catch broken or late data before the business sees it. Decube serves customers across Southeast Asia, Australia, and the United States. ## Products - [Data Observability and Data Quality](https://www.decube.io/data-observability): Monitors freshness, volume, and schema, detects anomalies with machine learning, runs custom SQL checks, and routes alerts to Slack, Microsoft Teams, email, or Jira, so bad data is caught before it spreads downstream. - [Data Lineage](https://www.decube.io/data-lineage): Maps end to end, column level lineage across your stack by parsing SQL and pipeline metadata, so you can trace any field back to its source and see downstream impact before you change anything. This is the capability regulated teams use to evidence how a reported figure was derived. - [Data Catalog and Metadata Management](https://www.decube.io/metadata-management): Automatically ingests metadata from every connected source, classifies sensitive data and PII, and links each asset to its column level lineage, owners, and quality signals, so teams can find data and trust what they find. - [Data Governance](https://www.decube.io/data-governance): Unifies classification, access controls, ownership, and column level lineage so regulated teams can enforce policies such as GDPR, HIPAA, and BCBS 239, protect sensitive data, and stay audit ready. - [Data Dictionary and Business Glossary](https://www.decube.io/business-glossary): Gives business and technical teams one shared data language. Every glossary term links to the physical assets and lineage it describes, so a definition stays traceable instead of drifting out of date in a spreadsheet. - [Data Products and Data Mesh](https://www.decube.io/data-products): Lets domain teams own, publish, and govern trusted data products with named owners, data contracts, SLAs, and quality monitors, discoverable through a data marketplace built on the same catalog and lineage foundation. - [Pipeline Observability](https://www.decube.io/pipeline-observability): Monitors every job and run across orchestrators such as Airflow, dbt, Fivetran, and Azure Data Factory for status, timing, and SLA breaches, and links a failed run to the exact tables and dashboards it affected. - [TrustyAI](https://www.decube.io/trusty): An AI data catalog search and text to SQL assistant. Ask questions in plain English and get governed answers drawn from your own metadata, with no SQL and no ticket to the data team. It uses metadata only, so your data is never sent to a third party model. ## Compare Decube - [Decube vs Atlan](https://www.decube.io/atlan-vs-decube): How Decube compares to Atlan on catalog, observability, and governance, including approval gated lineage and full stack observability built into one platform rather than assembled from third party tools. - [Decube vs Alation](https://www.decube.io/alation-vs-decube): How Decube compares to Alation on catalog, lineage, and data quality, with observability and quality native to the platform rather than added on. - [Decube vs Collibra](https://www.decube.io/collibra-vs-decube): How Decube compares to Collibra on governance, catalog, and observability, including time to value, pricing transparency, and implementation effort. ## Proof and value - [Customer case studies](https://www.decube.io/case-studies): How banks and financial institutions use Decube to reach trusted data, with real outcomes on incident resolution time, automated lineage, and return on investment. - [ROI calculator](https://www.decube.io/roi-calculator): Model what poor data quality costs your organisation across incident resolution, data discovery, lineage, documentation, compliance reporting, and dashboard reliability, based on your team size, number of tables, and location. - [Security and trust](https://www.decube.io/security): Metadata only, query pushdown architecture so your data never leaves your environment. SOC 2 and ISO 27001 certified, supporting GDPR and HIPAA, with TLS in transit, AES 256 at rest, and SaaS, single tenant, or on premise deployment. ## Company and resources - [Decube home](https://www.decube.io/): The data governance and context platform, built for data teams and AI agents. - [Integrations](https://www.decube.io/integrations): Connectors across the modern data stack, including warehouses, lakes, orchestrators, and BI tools. - [Product tour](https://www.decube.io/product-tour): An interactive walkthrough of the platform. - [Pricing](https://www.decube.io/pricing): Plans and pricing. - [Blog](https://www.decube.io/blog): Articles on data governance, data quality, observability, lineage, and data engineering practice. - [About Decube](https://www.decube.io/about): Company background and mission. Decube was founded in 2022. ## Optional - [Request a demo](https://www.decube.io/request-a-demo): Talk to the Decube team and see the platform running against your own data. - [Contact](https://www.decube.io/contact): Reach the team at hello@decube.io.