A startup named TigerGraph emerged from stealth today with a new native parallel graph database that its founder thinks can shake up the analytics market. With $31 million in venture funding and ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

Maybe, if you need blazing performance extracting data and chewing on it from a relational database, it belongs in a cloud. Because for certain workloads, including vector search and retrieval ...

Teradata (NYSE: TDC), a leading analytics solutions company, announced Teradata Everywhere™, an industry first that brings the world’s most powerful massively parallel processing (MPP) analytic ...

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 ...

ParAccel, Inc. announced at Oracle OpenWorld the integration of its Analytic Database (PADB), a columnar-based, massively parallel processing (MPP) software-only analytic database, with NetApp Unified ...

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 ...

Traditionally data acquisition has been the bottleneck for large scale proteomics. This has also remained one of the limitations in leveraging mass spectrometry within the clinic. PASEF and short ...

This can cause database conflicts, table locking errors, and/or failure of one or more of the tests. For instance, if a database table is locked due to a first test accessing the database table, the ...