>> Narrator: From San Jose, in the heart of Silicon Valley,
it's The Cube, covering Big Data SV 2016.
Now your hosts, John Furrier and Peter Burris.
>> Okay, welcome back everyone.
We are here live in Silicon Valley for Big Data Week,
Big Data SV Strata Hadoop.
This is The Cube, SiliconANGLE's flagship program.
We go out to the events
and extract the signals from the noise.
I'm John Furrier, my co-host is Peter Burris.
Our next guest is Ritika Gunnar,
VP of Data and Analytics at IBM
and David Richards is the CEO of WANdisco.
Welcome to The Cube, welcome back.
>> Thank you.
>> It's a pleasure to be here.
>> So, okay, IBM and WANdisco, why are you guys here?
What are you guys talking about?
Obviously, partnership. What's the story?
>> So, you know what WANdisco does, right?
Data replication, active-active replication of data.
For the past twelve months, we've been realigning
our products to a market that we could see rapidly evolving.
So if you had asked me twelve months ago what we did,
we were talking about replicating just Hadoop,
but we think the market is going
to be a lot more than that.
I think Mike Olson famously said that this Hadoop
was going to disappear and he was kind of right
because the ecosystem is evolving to be a much greater stack
that involves applications, cloud,
completely heterogeneous storage environment,
and as that happens the partnerships
that we would need have to move on from just being,
you know, the sort of Hadoop-specific distribution vendors
to actually something that can deliver
a complete solution to the marketplace.
And very clearly, IBM has a massive advantage
in the number of people, the services, ecosystem,
infrastructure, in order to deliver a complete solution
to customers, so that's really why we're here.
>> If you could talk about the stack comment,
because this is something that we're seeing.
Mike Olson's kind of being political
when he says make it invisible,
but the reality is there is more to big data than Hadoop.
There's a lot of other stuff going on.
Call it stack, call it ecosystem.
A lot of great things are growing, we just had Gaurav on
from SnapLogic said, "everyone's winning."
I mean, I just love that's totally true,
but it's not just Hadoop.
>> It's about Alldata and it's
about all insight on that data.
So when you think about Alldata,
Alldata is a very powerful thing.
If you look at what clients have been trying to do thus far,
they've actually been confined to the data
that may be in their operational systems.
With the advent of Hadoop, they're starting
to bring in some structured and unstructured data,
but with the advent of IOT systems, systems of engagement,
systems of records and trying to make sense of all of that,
Alldata is a pretty powerful thing.
When I think of Alldata, I think of three things.
I think of data that is not only on premises,
which is where a lot of data resides today,
but data that's in the cloud,
where data is being generated today
and where a majority of the growth is.
When I think of Alldata, I think of structured data,
that is in your traditional operational systems,
unstructured and semi-structured data from IOT systems
et cetera, and when I think of Alldata,
I think of not just data that's on premises
for a lot of our clients, but actually external data.
Data where we can correlate data with, for example,
an acquisition that we just did within IBM
with The Weather Company or augmenting
with partnerships like Twitter, et cetera,
to be able to extract insight
from not just the data that resides within the walls
of your organization, but external data as well.
>> The old expression is if you want to go fast, do it alone,
if you want to go deeper and broader
and more comprehensive, do it as a team.
>> That's right.
>> That expression can be applied to data.
And you look at The Weather data, you think, hmmm,
that's an outlier type acquisition,
but when you think about the diversity of data,
that becomes a really big deal.
And the question I want to ask you guys is,
and Ritika, we'll start with you,
there's always a few pressure points we've seen in big data.
When that pressure is relieved, you've seen growth,
and one was big data analytics kind of stalled a little bit,
the winds kind of shifted, eye of the storm,
whatever you want to call it, then cloud comes in.
Cloud is kind of enabling that to go faster.
Now, a new pressure point that we're seeing
is go faster with digital transformation.
So Alldata kind of brings us to all digital.
And I know IBM is all about digitizing everything
and that's kind of the vision.
So you now have the pressure of I want all digital,
I need data driven at the center of it,
and I've got the cloud resource,
so kind of the perfect storm.
What's your thoughts on that?
Do you see that similar picture?
And then does that put the pressure on, say, WANdisco,
say hey, I need replication, so now you're under the hood?
Is that kind of where this is coming together?
>> Absolutely.
When I think about it,
it's about giving trusted data and insights
to everyone within the organization,
at the speed in which they need it.
So when you think about that last comment of,
"At the speed in which they need it,"
that is the pressure point of what it means
to have a digitally transformed business.
That means being able to make insights and decisions
immediately and when we look at what our objective is
from an IBM perspective,
it's to be able to enable our clients
to be able to generate those immediate insights,
to be able to transform their business models
and to be able to provide the tooling
and the skills necessary,
whether we have it organically, inorganically,
or through partnerships, like with WANdisco
to be able to do that.
And so with WANdisco, we believe we really wanted
to be able to activate where that data resides.
When I talk about Alldata and activation of that data,
WANdisco provided to us complementary capabilities
to be able to activate that data where it resides
with a lot of the capabilities
that they're providing through their fusion.
So, being able to have and enable our end-users
to have that digitally infused set of reactive type
of applications is absolutely something...
>> It's like David, we talk about,
and maybe I'm oversimplifying your value proposition,
but I always look at WANdisco
as kind of the five nines of data, right?
You guys make stuff work,
and that's the theme here this year,
people just want it to work, right?
They don't want to have it down, right?
>> Yeah, we're seeing, certainly, an uptick in understanding
about what high availability, what continuous availability
means in the context of Hadoop,
and I'm sure we'll be announcing
some pretty big deals moving forward.
But we've only just got going with IBM.
I would, the market should expect a number of announcements
moving forward as we get going with this,
but here's the very interesting question
associated with cloud.
And just to give you a couple of quick examples,
we are seeing an increasing number
of Global 1,000 companies,
Fortune 100 companies move to cloud.
And that's really important.
If you would have asked me 12 months ago,
how is the market going to shape up, I'd have said,
well, most CIO's want to move to cloud.
It's already happening.
So, FINRA, the major financial regulator
in the United States is moving to cloud,
publicly announced it.
The FCA in the UK publicly announced
they are moving 100% to cloud.
So this creates kind of a microcosm of a problem
that we solve, which is how do you move transactional data
from on-premise to cloud
and create a sort of hybrid environment.
Because with the migration, you have to build
a hybrid cloud in order to do that anyway.
So, if it's just archive systems,
you can package it on a disk drive and post it, right?
If we're talking about transactional data,
i.e, stuff that you want to use, so for example,
a big travel company can't stop booking flights
while they move their data into the cloud, right?
They would take six months
to move petabyte scale data into cloud.
We solve that problem.
We enable companies to move transactional data
from on-premise into cloud,
without any interruption to services.
>> So not six months?
>> No, not six months.
>> Six hours?
>> And you can keep on using the data while it is in transit.
So we've been looking for a really simplistic problem,
right, to explain this really complex algorithm
that we've got that you know
does this active-active replication stuff.
That's it, right?
It's so simple, and nobody else can do it.
>> So no downtime, no disruption to their business?
>> No, and you can use the cloud or you can use
the on-prem applications while the data is in transit.
>> So when you say all cloud, now we're on a theme,
Alldata, all digital, all cloud,
there's a nuance there because most,
and we had Gaurav from SnapLogic talk about it,
there's always going to be an on-prem component.
I mean, probably not going to see 100% everyone
move to the cloud, public cloud, but cloud,
you mean hybrid cloud essentially,
with some on-prem component.
I'm sure you guys see that with Bluemix as well,
that you've got some dabbling in the public cloud,
but ultimately, it's one resource pool.
That's essentially what you're saying.
>> Yeah, exactly.
>> And I think it's really important.
One of the things that's very attractive
e about the WANdisco solution
is that it does provide that hybridness
from the on-premises to cloud
and that being able to activate that data where it resides,
but being able to do that in a heterogeneous fashion.
Architectures are very different in the cloud
than they are on premises.
When you look at it, your data like
may be as simple as Swift object store or as S3,
and you may be using elements of Hadoop in there,
but the architectures are changing.
So the notion of being able to handle hybrid solutions
both on-premises and cloud with the heterogeneous capability
in a non-invasive way that provides continuous data
is something that is not easily achieved,
but it's something that every enterprise
needs to take into account.
>> So Ritika, talk about the why the WANdisco partnership,
and specifically, what are some of the conversations
you have with customers?
Because, obviously there's, it sounds like,
the need to go faster and have some of this replication
active-active and kind of, five nines if you will,
of making stuff not go down or non-disruptive operations
or whatever the buzzword is, but you know,
what's the motivation from your standpoint?
Because IBM is very customer-centric.
What are some of the conversations
and then how does WANdisco fit into those conversations?
>> So when you look at the top three use cases
that most clients use for even Hadoop environments
or just what's going on in the market today,
the top three use cases are you know,
can I build a logical data warehouse?
Can I build areas for discovery or analytical discovery?
Can I build areas to be able to have data archiving?
And those top three solutions
in a hybrid heterogeneous environment,
you need to be able to have active-active access
to the data where that data resides.
And therefore, we believe, from an IBM perspective,
that we want to be able to provide
the best of breed regardless of where that resides.
And so we believe from a WANdisco perspective,
that WANdisco has those capabilities
that are very complementary to what we need
for that broader skills and tooling ecosystem
and hence why we have formed this partnership.
>> Unbelievably, in the market, we're also seeing
and it feels like the Hadoop market's just got going,
but we're seeing migrations
from distributions like Cloudera into cloud.
So you know, those sort of lab environments,
the small clusters that were being set up.
I know this is slightly controversial,
and I'll probably get darts thrown at me by Mike Olson,
but we are seeing pretty large-scale migration
from those sort of labs that were set up initially.
And as they progress, and as it becomes mission-critical,
they're going to go to companies like IBM, really,
aren't they, in order to scale up their infrastructure?
They're going to move the data into cloud to get hyperscale.
For some of these cases that Ritika was just talking about
so we are seeing a lot of those migrations.
>> So basically, Hadoop, there's some silo deployments
of POC's that need to be integrated in.
Is that what you're referring to?
I mean, why would someone do that?
They would say okay, probably integration costs,
probably other solutions, data.
>> If you do a roll-your-own approach,
where you go and get some open-source software,
you've got to go and buy servers,
you've got to go and train staff.
We've just seen one of our customers,
a big bank, two years later get servers.
Two years to get servers, to get server infrastructure.
That's a pretty big barrier, a practical barrier to entry.
Versus, you know, I can throw something up
in Bluemix in 30 minutes.
>> David, you bring up a good point, and I want to just
expand on that because you have a unique history.
We know each other, we go way back.
You were on The Cube when,
I think we first started seven years ago at Hadoop World.
You've seen the evolution and heck,
you had your own distribution at one point.
So you know, you've successfully navigated the waters
of this ecosystem and you had gray IP
and then you kind of found your swim lanes
and you guys are doing great,
but I want to get your perspective on this
because you mentioned Cloudera.
You've seen how it's evolving as it goes mainstream,
as you know, Peter says,
"The big guys are coming in and with power."
I mean, IBM's got a huge spark investment
and it's not just you know, lip service,
they're actually donating a ton of code
and actually building stuff so, you've got
an evolutionary change happening within the industry.
What's your take on the upstarts like Cloudera
and Hortonworks and the Dishrow game?
Because that now becomes an interesting dynamic
because it has to integrate well.
>> I think there will always be a market
for the distribution of opensource software.
As that sort of, that layer in the stack, you know,
certainly Cloudera, Hortonworks, et cetera,
are doing a pretty decent job of providing a distribution.
The Hadoop marketplace,
and Ritika laid this on pretty thick as well, is not Hadoop.
Hadoop is a component of it,
but in cloud we talk about object store technology,
we talk about Swift, we talk about S3.
We talk about Spark, which can be run stand-alone,
you don't necessarily need Hadoop underneath it.
So the marketplace is being stretched to such a point
that if you were to look at the percentage of the revenue
that's generated from Hadoop,
it's probably less than one percent.
I talked 12 months ago with you about the whale season,
the whales are coming.
>> Yeah, they're here.
>> And they're here right now, I mean...
>> (laughs) They're mating out in the water,
deals are getting done.
>> I'm not going to deal with that visual right now,
but you're quite right.
And I love the Peter Drucker quote which is,
"Strategy is a commodity, execution is an art."
We're now moving into the execution phase.
You need a big company in order to do that.
You can't be a five hundred or a thousand person...
>> Is Cloudera holding onto dogma with Hadoop
or do they realize that the ecosystem
is building around them?
>> I think they do because they're focused
on the application layer,
but there's a lot of competition in the application layer.
There's a little company called IBM,
there's a little company called Microsoft
and the little company called Amazon
that are kind of focused on that as well,
so that's a pretty competitive environment
and your ability to execute is really determined
by the size of the organization to be quite frank.
>> Awesome, well, so we have Hadoop Summit
coming up in Dublin.
We're going to be in Ireland next month
for Hadoop Summit with more and more coverage there.
Guys, thanks for the insight.
Congratulations on the relationship and again, WANdisco,
we know you guys and know what you guys have done.
This seems like a prime time for you right now.
And IBM, we just covered you guys at InterConnect.
Great event.
Love The Weather Company data, as a weather geek,
but also the Apple announcement was really significant.
Having Apple up on stage with IBM,
I think that is really, really compelling.
And that was just not a Barney deal, that was real.
And the fact that Apple was on stage was a real testament
to the direction you guys are going, so congratulations.
This is The Cube, bringing you all the action,
here live in Silicon Valley
here for Big Data Week, BigData SV, and Strata Hadoop.
We'll be right back with more after this short break.