Over the next decade, we are going to see another wave of huge volumes of data created, driven by emerging technologies such as artificial intelligence (AI), the Internet of Things (IoT), machine learning and data lakes.
Infinidat EMEA CTO, Eran Brown. Eran expects to see a strategic demarcation between public and private cloud data storage, increased focus on the economics of data storage, growing interest in multi-cloud solutions and greater alignment between IT and business units in the coming year.
Dell EMC, HPE, Infinidat and others put their storage into facilities located within close proximity of AWS compute nodes. They aim to provide a "faster, more scalable, more secure storage" alternative to AWS, Staimer said.
“In 2020, AI will become more than a set of demanding workloads; it will become a foundational technology in the building of intelligent cloud hybrid infrastructures.”—Stanley Zaffos, SVP of Product Marketing, Infinidat.
Redis Labs’s success is in part due to its memory caching speed. This reminds me of another Israeli startup – Moshe Yanai’s Infinidat storage array business, which also uses memory caching for its speed advantage over all-flash arrays. For Redis Labs, avoiding storage IO except for background operations is the only way to keep server CPUs busy. Storage is a bottleneck and needs bypassing – which applies in a way to Infinidat as well.
“Do you want to pledge allegiance to a single public-cloud provider forever?” asked Erik Kaulberg (pictured), vice president at Infinidat Ltd. “If the answer to that is no or if there’s any hesitation in that answer, then you need to be considering services that go beyond the walled gardens of individual public clouds.”
Infinidat has no plans to move from disk to quad-level flash for its capacity storage, arguing that all-flash arrays at scale are prohibitively expensive. The high-end storage vendor makes InfiniBox arrays with 10PB effective capacity and fast data access based on DRAM caching with an intermediate NAND tier.