Oracle, a frontrunner in cloud know-how, has launched the Oracle Exadata X11M, the latest model of its Exadata platform. In line with the corporate, this mannequin affords as much as 55% faster AI vector searches, 2.2 instances quicker analytics scan throughput, and 25% improved transaction processing, all whereas sustaining the identical pricing as its predecessor.
“Exadata X11M is as much as 70 instances quicker as a result of distinctive {hardware} offloaded RDMA in comparison with AWS RDS and Azure SQL. Now, with multi-cloud, we’re quicker than AWS in AWS and quicker than Azure in Azure,” mentioned Kothanda Umamageswaran, Oracle SVP of Exadata and scale-out applied sciences. He defined that Exadata affords decrease latency for OLTP database operations, dealing with duties quicker than AWS RDS and Azure SQL, which take round 1 millisecond in comparison with Exadata’s mere 14 microseconds.
Oracle’s multi-cloud technique permits them to deploy their Exadata know-how on competing cloud platforms, claiming superior efficiency even in these environments, together with on AWS and Azure infrastructures. It challenges these suppliers in their very own ecosystems.
Presently, Oracle Exadata X11M is out there on-premises, with Exadata Database Service, Autonomous Database on Exadata Cloud@Buyer, Oracle Cloud Infrastructure (OCI), and in multi-cloud setups together with AWS, Google Cloud, and Microsoft Azure.
In an unique interview with AIM, Ashish Ray, Oracle’s VP of mission-critical database applied sciences, revealed that their buyer base largely consists of on-premises purchasers, adopted by these utilizing Oracle Cloud, with multi-cloud prospects rating subsequent.
“The Google and AWS bulletins are pretty current, so naturally, this multi-cloud play will not be on the similar scale as our present on-premises and Oracle Cloud choices,” Ray mentioned. Nonetheless, the corporate anticipates important progress on this multi-cloud initiative, together with Azure, with the hope that purchasers utilizing different platforms will transfer to its high-performance database.
“The walled gardens have come down, and enterprise productiveness has grow to be rather more clear. There are not any bottlenecks, no setbacks, and now the selection is again to the shoppers,” mentioned Ray.
He described India as a data-driven market experiencing explosive progress, fuelled by the digital modernisation of companies—from massive enterprises to a vibrant startup ecosystem. Ray expects that in India, Exadata X11 will act as a catalyst for additional enterprise innovation and IT modernisation.
Moreover, he added that migrating to Exadata X11M gives higher worth for companies. “With Exadata X11M, corporations can deal with extra workloads with fewer servers, which helps scale back prices associated to information centres, energy utilization, area, and cooling, particularly for these utilizing on-premises setups.”
In the meantime, Umamageswaran notes that corporations requiring entry to huge quantities of information from a number of sources and information varieties, say, graph, spatial, paperwork, transactional, and analytical information, will profit from Oracle Databases 23ai on Exadata X11M.
The corporate claims that Exadata handles transactions in microseconds and likewise helps real-time analytics like anti-money laundering (AML) checks that should happen concurrently with the transaction course of.
Database Competitors Galore
The catch with Oracle Exadata is that it’s only appropriate with its database. However as we speak, prospects are experimenting with completely different database platforms similar to Amazon Aurora, Cosmos DB, Google Spanner, MongoDB, CockroachDB, and lots of extra.
“There’ll at all times be particular person information administration options, whether or not it’s PostgreSQL, Aurora, Redshift, or Cosmos DB,” Ray added.
Very like Oracle, CockroachDB is a distributed SQL database designed for scalability, consistency, and resilience. It combines the very best options of conventional relational databases with the benefits of trendy distributed methods.
Spencer Kimball, CEO of Cockroach Labs, within the newest episode of Tech Talks at AIM, critiqued the dependence on cloud distributors like AWS, Google Cloud, and Oracle for databases, emphasising the restrictions of vendor lock-in. He acknowledged:
“With CockroachDB, we let prospects run throughout clouds, in personal information facilities, or each. You may even flip off a cloud vendor completely and preserve working with out downtime. That’s true freedom, and it’s what enterprises want as we speak.”
To this, Ray mentioned: “A whole lot of these corporations are typically SQL-compatible. We do have prospects who run CockroachDB and PostgreSQL,” including that the dimensions at which Oracle Database runs and helps massive enterprises throughout the whole globe is completely exceptional. “That’s why you see a whole lot of multi-cloud curiosity from the cloud hyperscalers,” he added.
From a generative AI perspective, he highlighted that Exadata considerably accelerates duties like vector processing, index creation, and querying.
Nonetheless, he did acknowledge the rising reputation of PostgreSQL as a result of its open-source nature. Oracle Database doesn’t instantly help PostgreSQL, however Oracle affords a service referred to as OCI Database with PostgreSQL. This service lets customers use PostgreSQL within the Oracle Cloud, giving them PostgreSQL options together with Oracle’s cloud advantages.
AMD is EPYC: Oracle launched Exadata in 2008. Ray defined that whereas the Oracle Exadata X9M was based mostly on Intel processors, the brand new Exadata X11M makes use of AMD EPYC processors. The explanation for shifting to AMD was that it was simply obtainable with numbers that may drive a whole lot of parallel throughput for database workloads,” mentioned Ray.
Apparently, NVIDIA additionally lately partnered with AMD AMD’s EPYC CPUs are essential in powering NVIDIA’s GPUs for large-scale AI workloads. “We’ve proven a 20% enchancment in coaching and a 15% enchancment in inference when connecting EPYC CPUs to NVIDIA’s H100 GPUs,” mentioned Ravi Kuppuswamy, senior vp & common supervisor at AMD.
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