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 ...
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 ...
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 ...
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 ...
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 ...
What is good for the simulation and the machine learning is, as it turns out, also good for the database. The performance and thermal limits of traditional CPUs have made GPUs the go-to accelerator ...
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