With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

As modern applications scale horizontally and vertically, database performance must also scale accordingly. Multi-model systems dissociate the query language and data model from the underlying ...

“All the RDBMS players already extend themselves beyond traditional relational-model databases to support different unstructured data and columnar formats,” said Soumendra Mohanty, executive VP and ...

DBA Corner. DBA Corner focuses on issues of interest to data architects, database analysts and database administrators. Issues addressed by the column include data modeling and database design, ...

The Aerospike Document Database lets developers ingest, store, and process JSON document data as Collection Data Types (CDTs)—flexible, schema-free containers that provide the ability to model ...

Given the advantages that data modeling offers for database insights, it’s important to learn how to do data modeling effectively in your organization. In this guide, I’ll point out some key ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

Even rigorous requirements of conventional applications like e-commerce system are possible in a document database. This data model (i.e. "schema design,") is useful for developing applications ...

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space including Cockroach Labs, MongoDB, MariaDB and Redis Labs.

Microsoft has made a promised public preview of its Common Data Model (CDM) entity database available to testers. CDM is at the heart of the coming Microsoft Dynamics 365 bundle.