Original URL: https://www.theregister.co.uk/2013/02/26/intel_rolls_up_hadoop_distribution/

Intel takes on all Hadoop disties to rule big data munching

'We do software now. Get used to it.'

By Timothy Prickett Morgan

Posted in Cloud, 26th February 2013 21:29 GMT

Look out Cloudera, MapR Technologies, EMC, Hortonworks, and IBM: Intel is the new elephant in the room. Intel has been dabbling for the past two years with its own distribution of the Hadoop stack, and starting in the second quarter it will begin selling services for its own variant of the Hadoop big data muncher.

Intel is not just moving into Hadoop software and support to make some money on software and services, explained Boyd Davis, general manager of the software division of Intel's Data Center and Connected Systems Group. It also wants to accelerate the adoption of Xeon and Atom processors, as well as Intel networking and solid state storage when used in conjunction with Hadoop clusters.

In a nutshell, Intel thinks it has to do a Hadoop distribution itself to make sure it makes the server, storage, and networking money. And more importantly, Intel is thinking of Hadoop as a kind of foundational technology that is up for grabs.

Given this attitude, it is amazing that Intel doesn't just go all the way and say it needs its own Linux operating system, too. And if you think Intel is being logically inconsistent, Boyd said that with the software competency that Intel has now, it might have jumped in, had the Linux wave started today rather than in the late 1990s.

"Intel is a company that has grown in our capabilities around software a lot since the start of the Linux movement," explained Boyd at the launch event for the Intel Inside Hadoopery. "And of course, we have great partners in the Linux community that are driving the kernel forward. Who is to say if the Linux phenomenon were happening today we wouldn't try to do the same thing? I think it is a little bit more of when we have an ability to anticipate a trend as big as the Hadoop trend, if it is as big as we expect it to be. I think that just by taking an influence model we wouldn't have an opportunity to grow the market as fast."

Intel's desire, explained Boyd, was to speed up enhancements to the Hadoop tools as they run on Intel processors, chipsets, network controllers, and switch ASICs. But it is also to "add more value," which is another way of saying Intel wants more share of IT wallet.

And by the same logic, Intel could decide that the OpenStack cloud control freak is foundational technology. Or Linux. Or maybe the KVM or Xen hypervisor.  Or any number of other things, like Open Compute Project servers.

The fact is, Intel sees an opportunity in very profitable software, and it is not about to miss this one as it has so many others in the past. Like everyone else, Intel knows it needs to be a software and services company, and it is Boyd's job to make that happen in the data center. And Hadoop is the best option Intel has.

Intel has been working on Hadoop technologies since it forged a benchmarking partnership with Yahoo! and HP back in 2009, and it has gradually come to the conclusion that its expertise in designing hardware and tuning software for it gives it some advantages over other commercial Hadoop disties.

Intel has been gradually moving towards a formal Hadoop distro for years

Intel has been gradually moving towards a formal Hadoop distro for years

As it turns out, after working on benchmarking and tuning, Intel was approached by China Unicom and China Mobile to help cope with some performance issues in the Hadoop stack when running on Intel Xeon processors.

In 2011 Chipzilla, rolled up a 1.0 release of what is now being called the Intel Distribution for Apache Hadoop – presumably to be called IDH1, dropping the A the way Cloudera does it, because IDAH 1.0 looks sillier. Last fall, at the behest of these Chinese customers and to get a few new customers like publisher McGraw-Hill and genomics researcher Nextbio on board, Intel rolled up IDH2.

With the IDH3 release, Intel is grabbing the Apache Hadoop 2.0 stack and doing some significant tweaking and tuning, explained Boyd. Intel has done a lot of work with the Hadoop Distributed File System, the YARN MapReduce 2.0 distributed processing framework, the Hive SQL query tool, and the HBase key-value store, he added.

How Intel is building its Hadoop stack

How Intel is building its Hadoop stack

In the chart above, the elements in light blue are where Intel has made substantial performance enhancements, and the Hadoop stack modules in gray are just bits Intel is pulling directly from the Apache Hadoop project. Any code Intel has created to enhance any of the light blue modules will be eventually contributed back to the Apache Hadoop community; whether the community accept these changes into the Hadoop stack is another matter, and one for its members to decide. How quickly these are contributed is for Intel to decide.

And Intel promises not to fork the Hadoop code, too. "The goal is not to fork the code or drive any kind of dissension in the community," Boyd said.

That dark blue area at the top concerned Intel's Manager for Apache Hadoop, Chipzilla's very own control freak, which will not be open sourced. This tool will be used to deploy, configure, manage, and monitor the Intel Hadoop stack, and it will integrate with other Intel tools, such as its Data Center Manager power utilization control freak, its own rendition of the Lustre clustered file system, its cache acceleration software, and its Expressway service gateway.

The neat feature in this Manager for Apache Hadoop is that it is aware of AES-NI encryption and AVX and SSE4.2 instructions on Xeon E5 processors, as well as the presence of solid state disks and Intel network cards. It also has a feature called Active Tuner that Boyd says works by "using Hadoop on Hadoop" to do analytics on power and performance telemetry coming out of a Hadoop cluster to automagically tune it for a specific cluster. (Of course, it will no doubt work best on all-Intel technology.)

Hadoop – and Intel – performance anxiety

Intel will be offering annual subscriptions on IDH3 on a global basis starting in the second quarter, with China getting it by the end of this quarter, at "competitive" prices. Intel is not going to be the low-priced or high-priced Hadoop producer, Boyd said, but of course, no one really publishes prices for their Hadoop stacks so it will be hard to say. Intel will offer two support plans for IDH3, one with 8x5 standard business support and another with 24x7 premium support.

Intel also plans to work with selected hardware and software reseller partners to cook up integrated systems. Server upstart Cisco Systems looks to be tapping Intel for the distribution on its UCS machines, and perhaps working in conjunction with its Tidal Enterprise Scheduler and existing Hadoop UCS bundles.

Red Hat was also trotted out at the event, and El Reg has the distinct impression that Intel and Red Hat have a gentlemen's agreement to not invade each other's software turf. Red Hat did not provide a sufficient answer when El Reg asked if IDH3 was going to be the official Hadoop distro for Red Hat or what the nature of its relationships were with Cloudera, Hortonworks, and MapR. What we can tell you is what we told you a week ago when Red Hat hosted its big data event: Red Hat is not going to do its own Hadoop distribution, as illogical as that may seem to many of us.

What Intel is focusing on now is the performance it can bring to bear for Hadoop with all of its hardware and software.

Intel says the combination of new processors, flash, 10GE, and tuning delivers big performance gains with IDH3

Intel says the combination of new processors, flash, 10GE, and tuning delivers big performance gains with IDH3

To make its point, it took a cluster based on old six-core Xeon 5690 processors, 1 Gigabit Ethernet connectivity, and 7,200 RPM spinning disks and then replaced this with a server setup based on more modern Xeon E5-2600 processors, 520 Series SSDs, 10GE adapter cards, and its IDH3 software tuned up to make the best use of these features. It then ran the terabyte sort test on both machines. It took more than four hours on the old iron running open source Apache Hadoop and under seven minutes on the new iron using Intel's IDH3 distribution.

Ultimately, this is about pumping up Data Center and Connected Systems revenues and profits faster, and specifically to fill in the gaping hole slashed out of the PC market by smartphones and tablets. Before the PC market collapsed, Intel was on a crusade to double its Data Center and Connected Systems revenue to $20bn by 2016, a level set against the $10bn in sales in 2011.

Intel thinks it can accelerate big data-related Xeon sales by doing its own Hadoop

Intel thinks it can accelerate big data-related Xeon sales by doing its own Hadoop

Boyd was refreshingly honest about this being about money, in fact, and shared the chart above. Intel wants to sell more Xeon chips into Hadoop clusters (and other big data products, to be sure), and it wants to do it sooner and ramp up the sales faster, too. And, of course, it wants to pump up its software business, too, and bring more dollars to the bottom line.

Your move, Cloudera, Hortonworks, MapR, EMC, and IBM. ®