Conventional databases, meaning relational databases that use SQL (Structured Query Language) for queries, are the product of decades of technology evolution, good practice, and real-world stress ...

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce's AI ...

Summary: IBM Db2 Warehouse includes a wide set of in-database SQL analytics that includes some basic machine learning functionality, plus in-database support for R and Python. Kinetica ...

They have taken data and queries contained in TPC-H, a standard database benchmark, and they ran TPC-H on a PostgreSQL instance. Not serial access, but selecting data at will.

SQL is immensely popular as a query language for databases. Unfortunately, it doesn’t work for nested queries across heterogenous data the same way GraphQL does. Plus SQL’s syntax can be ...

BlazingDB lets you run high-performance SQL on a database using a ton of GPUs. ... That’s because you’ve been running these queries on CPUs and it doesn’t scale well.

The particular test shown above is using GROUP BY and WHERE filters on the SQL query, and the chart shows the scan rate in billions of rows per second. Unfortunately, MapD is not naming the in-memory ...

Azure SQL Database now supports native vector storage and processing, streamlining AI development by integrating vector search with SQL queries. This update simplifies database management, enhances da ...

Leading enterprise cloud vendor ServiceNow has this week detailed the complexity of its global infrastructure, where it is managing 85,000 databases and has 25 billion queries per hour. The company is ...

Small businesses can create and access an SQL database of their creation for as little as $4.99/month. This tutorial shows you how to use the Azure Portal to create a cloud-based SQL database with ...