Cloudera Builds Strength and Agility

Haters gonna hate on Hadoop, but they've confused 'tween growing pains with weakness. The broader Hadoop ecosystem continues to mature at a very healthy pace. Even if the players are starting to outgrow the labels of "Hadoop" and "big data," leading companies in this sector will continue to build on what is now established to be a strong core. Perhaps most prominent among these young varsity athletes is Cloudera.

Cloudera has long enjoyed the popular attention of the market. More than 1,000 customers use Cloudera in more than 60 countries today. Technology vendors and channel partners have associated themselves with the cool kid. At last count, Cloudera has over 2800 partners, and that number includes 450 ISVs, of which 388 are certified, bringing 184 partner-developed solutions, of which 120 have been verified in production, and 44 are available in a ready-to-roll solutions gallery. Meanwhile big names like Intel and Michael Dell have provided significant scholarships to fund the company's development.

Topics: Data Management & Analytics Data Management Cloudera IPO big data and analytics

The Google Machine Learns to Compete

Language can be frustratingly ambiguous. Or delightfully ambiguous. When you read the title of this blog, did you parse it as Google is a machine that is learning to compete? Or that machine learning will be how "the Google" competes? Both work, and both are true.

First meaning: there is clear evidence Google is making huge progress in cloud services to better compete against its rivals. Executives at the Google Next 17 conference cited a competitive win rate of 60% in the last quarter, with best results when the company gets a fair shot and customers dig deep into the technical differentiation. Sure, Microsoft is entrenched in most enterprises, and AWS has ridiculous momentum, but Google has invested $29 billion over the last three years to innovate in its own way. Many of the services' advantages are subtle but impactful, such as more granular billing for data warehouse consumption with BigQuery, custom configured compute instances, or the potential for API access to data services already within Google's domain. These have real benefits in reducing costs and increasing value of data.  Machine learning even helps Google be more efficient, like finding ways to reduce data center cooling costs by 50%. As ESG research shows the financial cost/benefit equation is still the top perceived advantage for cloud-based databases, then Google should win simply on price efficiency for compute and storage resources. See a past comparison of costs here. Assuming buyers take the time to understand this and don't default to their Microsoft sales teams or Amazon's DevOps audience dominancy.

Topics: Data Management & Analytics Data Management google machine learning

Google's Growing Cloud Analytics Portfolio

At GCP:NEXT 2016 in San Francisco, Google demonstrated a surprisingly broad portfolio of analytics tools. No one doubts they have extensive experience in this area; in fact many believe the company to be way, way ahead of the average business. By the nature of what Google (and Alphabet) do, depth in big data, analytics, and machine learning is absolutely a core competancy. Many Google projects have gone on to form the basis of open-source software that is fundamental to the big data industry today.

Topics: Data Management & Analytics Data Management google

DAAC to the Future!--Dell Annual Analyst Conference

30 years ago, Back to the Future changed the history of the world as we know it, at least for impressionable movie buffs. This year, the Dell Annual Analyst Conference (DAAC) showed what could be coming next, no DeLorean required. Dell is obviously a big company with many different lines of business to consider, but I'd like to focus here on one breakout session in particular, entitled "Helping Customers Cut through the Big Data Hype to Make Better, Faster Decisions." Snappy, eh?

Topics: Analytics Big Data Data Management & Analytics Dell data integration

State of the Hadoop Market

In this ESG Video Blog, I discuss the current and future state of the Hadoop market.

Topics: Data Management & Analytics Hadoop

Leaders' Perspectives on Big Data: Technology Goals

I recently started a blog series based on research done by interviewing a number of leaders for big data and analytics initiatives. The first part in that blog series on leaders' perspectives on big data was specifically about business goals. This time we’re going to look a little more at the more technical objectives of big data, by which I mean technology goals.

Topics: Analytics Big Data Data Management & Analytics database data warehouse

Oracle Open World…& the new FS1 SAN (with video)

This year’s Oracle Open World (OOW) was – as ever – huge from just about every measurable dimension. While the weather is seemingly always lovely (except at SFO where “flow control” seems to have been the order of the day all September), it is not available to any regular tourists unless they are prepared to pay the stupendous rates that a sold-out city can charge.

Stealing a page from Microsoft when it “got” the Internet (what seems like an eternity ago!) Oracle spent its time at OOW confirming that its flirtation with this cloud thing is a full blown romance! Of course there were a ton of specific product announcements (a very beguiling new SAN product – the FS1 – being of course what caught my eye! More on that below). But this event was also about the occluded front that often accompanies clouds: that occlusion being the change in role for Larry Ellison and the emergence of the Safra-Mark show (lest there be one more “Hurd-ing Katz” jibe….). The change was managed effortlessly with Larry revelling in his “lead techy” role. What were the key takeaways? My colleague Nik Rouda and I already commented in our esg-recap-of-oracle-openworld-2014/index.html" target="_blank">joint blog about Oracle OpenWorld but here’s a bit more depth in one of our ESG on Location video reports….

Topics: Cloud Computing Storage Big Data Data Management & Analytics IT Infrastructure Oracle Open World Hadoop Enterprise Software Mark Peters Data Management Oracle

Informatica and the Challenge of Data Unification

Informatica is clearly a leader in data integration. In fact, a case could be made for Informatica being the leader in data integration. Since superlatives are not typically part of my lexicon, this represents something of an accomplishment on Informatica’s part. Informatica has been around for just over 20 years and is now driving over $1 billion in revenue. Informatica is unique because it’s the only large leading vendor in the data integration space that is a pure-play in integration. This means that Informatica’s future is inexorably tied to how enterprises leverage data. This is a good thing.

When you look at IT, you find that everything is data driven. Solutions and tools differ only by what data they align with and how they put this data to use. The reason we can say this with confidence is that every event is the result of one or more changes in state. As a result, whether we chose to formally recognize these changes in state from a data standpoint, they are responsible for initiating IT activities. For a comprehensive discussion of this topic, see ESG’s market summary report on Decision Analytics: Building the Foundation for Predictive Intelligence and Beyond.

Topics: Cloud Computing MDM Internet of Things Data Management & Analytics Informatica Application Development & Deployment Enterprise Software

ESG Recap of Oracle OpenWorld 2014

This year’s Oracle OpenWorld has reflected some interesting bets on the future of databases, cloud, big data, and analytics, along with many other macro-trends like social, mobile, and Internet of Things (IoT).

Oracle is doubling down on positioning itself as a cloud leader with emphasis on “pluggable” databases that can be easily hosted multi-tenant on-premises or migrated to a public cloud with a single command line. Database-as-a-service or DBaaS is clearly a priority and it’s being complemented by more cloud-oriented middleware and many new SaaS offerings.

Topics: Storage Analytics Big Data Internet of Things Data Management & Analytics IT Infrastructure cloud Oracle OpenWorld IoT Enterprise Software mobile Compute database social Oracle

The Internet of Things (IoT)

I shall be expanding on this theme--the internet of things (IoT) over the next few years, as I find it to be the most interesting thing to happen not only in tech, but potentially in modern society, ever.

Topics: Cloud Computing Analytics End-User Computing Endpoint & Application Virtualization Internet of Things Data Management & Analytics IT Infrastructure IoT Enterprise Software mobile Compute Public Cloud Service