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Multi-Model Databases: The Swiss Army Knife of Data Architecture

By Dick Weisinger

Multi-model databases are able to store, index and query across more than one model. Multi-model means that the database uses different database architectures to model data in more than one way, like standard relational, hierarchical, document-oriented, graph or key-value. The

Cloud Databases: On-Premise DBs Become the new Legacy

By Dick Weisinger

On-premise database market share is eroding quickly as businesses move their databases to the cloud. Databases remain a healthy business, growing at a rate of 18 percent between 2017 and 2018. But it has changed. But the landscape of the

MapD and GPUs: Fast Data: Speeding up Compute-Bound Database Queries

By Dick Weisinger

Big Data sets are only possible if there is some Big Processing available to handle the enormous volumes.  While the amount of data being captured is rising exponentially hardware and software engineers are rushing to develop software algorithms and processing

Big Data: Apache Arrow for Faster and More Efficient Management of Columnar Data

By Dick Weisinger

The Apache Software Foundation recently released Arrow as a new top-level project.  Arrow is embeddable software that enables columnar in-memory processing.  Structured data is usually managed with SQL operating on rows of a database.  Column operations are often tricky to

Databases: Strong Movement from Commercial to Open Source

By Dick Weisinger

The future of databases is open source.  Gartner predicts that within the next three years more than 70 percent of all new applications will be based on open source databases and that half of existing applications that are using commercial RDBMS