Originally posted on Gigaom:
SQL or NoSQL? In-memory or hard disks? Graph? These questions have been top of mind in recent years as developers and IT administrators check out new-age databases capable of handling scale-out data sets. Executives from four databases showed how they stand out in a hot market at GigaOM’s Structure:Data conference on Thursday.
Emil Eifrem, CEO of Neo Technology, touted the power of Neo4j and other graph databases to show relationships among disparate varieties of data with nodes, edges and key-value properties. (Think of Facebook’s (s fb) Graph Search as one version.) The style takes inspiration from the connections among neurons and synapses inside the brain, Eifrem said. But, like other NoSQL databases, Neo Technology’s Neo4j product doesn’t use the SQL programming language, which could limit its adoption among enterprises.
Damian Black, CEO of SQLstream, touted his database’s use of SQL, calling it “lingua franca for data management.” Sure, it isn’t the easiest language to use. Still, “you know it’s going to save, it’s going to work,” he said. “It’s auto-optimizing. It’s proven.” Plus, it might be easier to find developers who can use it. As specialized databases get more attention, that’s become a more important point, said the moderator of the talk, GigaOM Research Analyst David Linthicum.