Aerospike, Inc., a real-time data platform provider, is introducing Aerospike SQL Powered by Starburst, enabling customers to run massively parallel, complex SQL queries on petabyte-scale data stored ...

In-memory databases are all the rage for very fast query processing, but you have to have the right balance of compute and memory for queries against in-memory databases to really scream. Sometimes, a ...

Recognizing that Hadoop and SQL database technology need to be joined at the hip in the enterprise, EMC Greenplum today announced Pivotal HD, an implementation of the company’s massively parallel ...

Driven by the rapid hardware development of parallel CPU/GPU architectures, the authors have witnessed emerging relational query processing techniques and implementations on those parallel ...

Here's a look at different ways to query Hadoop via SQL, some of which are part of the latest edition of MapR's Hadoop distribution SQL: old and busted. Hadoop: new hotness. That’s the conventional ...

As I discussed in an earlier column, SQL Server keeps a plan cached for each query it sees (assuming the query requires planning in the first place, of course). That's great for speeding up processing ...

Part of the problem is that there is no magic bullet, and for almost every best practice, I can show you at least one exception. Typically, a developer finds his or her own favorite methods — though ...

One of the most common problems when running SQL Servers is slow queries. The help desk or database team usually hears that described as the application is slow or ...

With JSON now the default format for moving data between clients and servers, SQL Server adds JSON support to make it easier to get your data out of the database and down to the client. SQL Server ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...