Oracle Big Data Appliance Sales Pitch
Offering customers an end-to-end solution for Big Data, the Oracle Big Data Appliance, in conjunction with Oracle Exadata Database Machine and the new Oracle Exalytics Business Intelligence Machine, delivers everything customers need to acquire, organize, analyze and maximize the value of Big Data within their enterprise.
What’s in the box?
- Oracle Big Data Appliance: The Oracle Big Data Appliance is an engineered system optimized for acquiring, organizing and loading unstructured data into Oracle Database 11g.
- Oracle Data Integrator Application Adapter for Hadoop: The new Hadoop adapter simplifies data integration from Hadoop and an Oracle Database through Oracle Data Integrator’s easy to use interface.
- Oracle Loader for Hadoop: Oracle Loader for Hadoop enables customers to use Hadoop MapReduce processing to create optimized data sets for efficient loading and analysis in Oracle Database 11g. Unlike other Hadoop loaders, it generates Oracle internal formats to load data faster and use less database system resources.
- Oracle R Enterprise: Oracle R Enterprise integrates the open-source statistical environment R with Oracle Database 11g. Analysts and statisticians can run existing R applications and use the R client directly against data stored in Oracle Database 11g, vastly increasing scalability, performance and security. The combination of Oracle Database 11g and R delivers an enterprise-ready deeply-integrated environment for advanced analytics.
The Oracle Big Data Appliance official page is here.
Oracle Big Data Appliance Market Positioning
Engineered to work together, the Oracle Big Data Appliance is easily integrated with Oracle Database 11g, Oracle Exadata Database Machine, and Oracle Exalytics Business Intelligence Machine. In essence, said oracle, it is designed to deliver extreme analytics on all data types, with enterprise-class performance, availability, supportability and security.
Mendelsohn said the company would pitch the Big Data Appliance as a companion to the Exadata platform and an additional tool for understanding customer behaviour rather than just another repository for information.
“Big is interesting, but traditional warehouses deal with that quite well,” he explained.
Today’s announcement is likely to put pressure on rivals such as Teradata, IBM, SAP, Microsoft and EMC to ramp up their own offerings. The onus is on them to “match and surpass Oracle in their roadmaps, offerings and partnerships,” Kobielus said. “Forrester expects M&A activity in these arenas to ramp up now that Oracle has made these aggressive moves.”
Pricing and a release date for the machine weren’t immediately available on Monday. When available, it will compete with products such as Aster Data, Netezza and Greenplum.
Oracle Big Data Appliance Technical Details
A rack with InfiniBand, full of 2U servers similar to Exadata Storage. No flash storage needed so couple sockets and a dozen of disks will do. Maybe more ram than Exadata storage cells themselves. I suspect you could have as many servers as you want in a configuration but since Hadoop clusters are usually dozens and more nodes, full rack seems reasonable with about 20 Hadoop compute nodes to start with. Real deployments should easily go into multiple racks stacked together.
The underlying hardware for the Big Data Appliance is Oracle’s Exadata x86 clusters, which support a parallel implementation of the Oracle 11g R2 database running on top of Oracle’s RHEL-ish clone of Linux. Oracle Enterprise Linux and Oracle’s twist on the open source Xen hypervisor are the appliance’s underlying layer.
The rack-based appliance will house 18 server systems and will hold up to 432TB of data and 864GB of memory. The appliance will form the basis of the company’s push into the big data management and analysis space.
The Big Data Appliance (BDA) has 18 Sun x4270 M2 servers per rack. As usual, you can add racks together for larger clusters. Each node has 48G RAM, 12 intel cores and 24Tb of storage. Less memory than in the Exadata 2×2 nodes and no SSD indicates that the plan is to hit the spinning magnetic devices a lot for data storage and processing. Not a big deal in Hadoop where this is the design assumption, but not optimal for the NoSQL portion of the device.
In addition there is 40gb/s infiniband and 10g/s Ethernet. The choice of infiniband for Hadoop machine is a bit odd, since Hadoop was designed to do most of the processing on the machine that holds the data and avoid overloading the network. On the other hand, connecting the Hadoop cluster to an Exadata machine with infiniband will allow for fast data loading. Which is exactly what Oracle is after.
ETL can deploy on the Hadoop cluster and you can model that using Oracle Integrator ETL tool and then deploy that on Hadoop MapReduce platform. We provide load balancing and after preprocessing is done, [the loader moves] the data set into Oracle. The finished data set then can be piped into Exalytics for analytic dashboards and reports.
Oracle Big Data Appliance: What does it mean to the market and competitors?
I have been around databases for 20 years, and have tons of respect for Oracle. When someone of their caliber releases a NoSQL solution, it takes us beyond the era of speculation and “niche” and squarely into the mainstream. It validates our work and our passion and paints a very exciting future for big data databases.
Whether you use Oracle or not, today’s announcement moves the big data world forward. We have de facto agreement on Hadoop and R as core infrastructure, and we have healthy competition at the database and NoSQL layer.
In my opinion this is a good thing for alternative database vendors. Competition is already thriving in the sector and I don’t think one more competitor, even one as large as Oracle, will alter the dynamics dramatically. But many customers will take Oracle’s arrival in the space as a sign that this trend is significant and it is a space they should look at. If Oracle’s offering is strong, we may lose some market share to them, but their presence will make it a bigger market.
One of the big issues at play here is whether enterprises want expensive Oracle appliances, open core software running on commodity hardware or pay-as-you-go public cloud services. As Wikibon analyst Jeff Kelley notes, “Ellison knows Oracle needs to have some Hadoop/NoSQL offering, but the open source/commodity hardware/scale-out approach to Big Data is the antithesis of the Oracle way: closed source/Sun-only hardware/scale-up.”
Got big data problems? Got cloud angst? Just put all your worries in a big iron box. At least that’s what I took away after two hours of keynotes from Oracle and EMC executives this morning. Big data and the cloud are euphemisms for huge information management and business challenges, but listening to the keynotes, you’d think it’s just a technical problem. The proliferation of vast amounts of unstructured content and a revolution in IT provisioning models, and even digital dependent revenue streams are not issues to be trifled with. But at the opening of Open World, the dumbing down of these challenges is exactly what happened. The vision communicated is that the solution is that you can put it all in a big data box, or a BI machine.
According to Oracle, the Big Data Appliance is a new system that includes an open source distribution of Apache Hadoop, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R.
My predictions turned true. Almost all.
Original title and link: Oracle Big Data Appliance Roundup: What, Why, How ( ©myNoSQL)