Start coding a new database in your garage with a buddy of yours. Use JavaScript. Name it after your dog. Patent your own data model. Do not go open source. Take over the world. That is HarperDB's ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

From performance to programmability, the right database makes all the difference. Here are 13 key questions to guide your selection. Picking the “right” database can often be critical to the success ...

The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

The term “NoSQL” is widely acknowledged as an unfortunate and inaccurate tag for the non-relational databases that have emerged in the past five years. The databases that are associated with the NoSQL ...

Internal Zilliz benchmarks show that purpose-built Milvus outperforms PostgreSQL with pgvector, delivering 60% lower latency and 4.5 times higher throughput under identical vector search conditions.

Maybe you are still getting up-to-speed with the whole concept of cloud computing. If so, I have a lot of sympathy for you because there is so much to learn and because cloud technologies advance so ...

The road to SQL started with Dr. E.F. Codd’s paper, “A Relational Model of Data for Large Shared Data Banks“, published in Communications of the ACM in June 1970. His colleagues at IBM, Donald ...