Tech Insights
Data Vault

Data Vault

Last updated , generated by Sumble
Explore more →

What is Data Vault?

Data Vault is a data modeling method designed to provide long-term historical storage of data coming from multiple operational systems. It's primarily used for building enterprise data warehouses and business intelligence systems. The method uses a hub-and-spoke architecture around business concepts (hubs), relationships between those concepts (links), and descriptive attributes (satellites). Data Vault emphasizes auditability, traceability, and scalability, making it well-suited for environments with evolving data sources and complex integration requirements.

What other technologies are related to Data Vault?

Data Vault Competitor Technologies

Kimball is a dimensional modeling approach that is an alternative to Data Vault's focus on auditability and traceability. It is a more agile approach that might not support all the use cases.
mentioned alongside Data Vault in 42% (315) of relevant job posts
3NF (Third Normal Form) is a database normalization approach often used in traditional data warehousing, and competes with Data Vault's focus on historical data and auditability.
mentioned alongside Data Vault in 50% (163) of relevant job posts
Inmon is a top-down data warehousing approach (CIF) where the data warehouse serves as the single source of truth, which contrasts with Data Vault's more modular approach.
mentioned alongside Data Vault in 43% (114) of relevant job posts
Star schema is a dimensional modeling technique primarily used in data marts, typically associated with Kimball's approach, and is therefore an alternative to the Data Vault modeling approach.
mentioned alongside Data Vault in 18% (262) of relevant job posts
Dimensional modeling is an alternative to Data Vault, focusing on optimizing data for reporting and analysis rather than auditability and historical tracking.
mentioned alongside Data Vault in 27% (75) of relevant job posts
Dimensional modeling is an alternative to Data Vault, focusing on optimizing data for reporting and analysis rather than auditability and historical tracking.
mentioned alongside Data Vault in 19% (68) of relevant job posts
Snowflake schema is a dimensional modeling technique primarily used in data marts, typically associated with Kimball's approach, and is therefore an alternative to the Data Vault modeling approach.
mentioned alongside Data Vault in 18% (59) of relevant job posts
Data Mesh is a decentralized approach to data management, often seen as an alternative to centralized data warehouses built with methodologies like Data Vault. While Data Vault can be deployed within a Data Mesh, the architectural paradigm is different.
mentioned alongside Data Vault in 5% (186) of relevant job posts

Data Vault Complementary Technologies

Autonomous Database is a database service that can be used to host a Data Vault implementation, providing scalability and automation for database management.
mentioned alongside Data Vault in 97% (64) of relevant job posts
Database Cloud services (VMDB) provides the infrastructure to deploy a Data Vault, offering scalability, and managed services.
mentioned alongside Data Vault in 97% (56) of relevant job posts
Cloud@Customer provides infrastructure for deploying a Data Vault solution on-premises while leveraging cloud services.
mentioned alongside Data Vault in 65% (61) of relevant job posts

Which organizations are mentioning Data Vault?

Organization
Industry
Matching Teams
Matching People
Data Vault
Oracle
Scientific and Technical Services
Data Vault
NS
Transportation and Warehousing

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.