|By Bob Gourley||
|October 18, 2013 11:36 AM EDT||
By Bob Gourley
Editor’s note: This list first appeared on our site Analyst One. -bg
In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. Mike really nailed it with that one. With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space.
This is great for analysts! But it poses some challenges. How do you know which technologies deserve your time and energy? Which firms have something so important that you should push hard to get them into your enterprise? Those are questions we would like to help you address.
We have produced The Analyst One Top Technologies List to help you address those questions. This is a short list of firms that can help you narrow your search for the right analyst-facing capabilities for your organization. We list our methodologies at the end of the list.
The Analyst One Top Technologies List
H2O by 0xdata brings better algorithms to big data. H2O is the open source math & machine learning platform for speed and scale. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling, within R and JSON. H2O is also used as an algorithms library for Making Hadoop Do Math. 0xdata customers have built powerful domain specific predictive engines for Recommendations, Pricing and Outlier detection in Fraud & Insurance. 0xdata is the maker of H2O and nurturing a grassroots movement of math, systems and data scientists to herald the new wave of Discovery with Big Data Science.
Alpine Data Labs makes data science on Big Data accessible to everyone. Alpine has simplified popular machine-learning methods and made them available on petabyte-scale datasets. Alpine’s lightweight web application does this by leveraging the parallel processing power of Hadoop and MPP databases. They deliver on the promise of Hadoop and Big Data, by providing a collaborative and intuitive visual environment for teams to quickly create and deploy analytics workflows and predictive models.
Alteryx, a leader in Strategic Analytics, dramatically improves data analysts’ productivity. The solution enables analysts to blend complex data, build sophisticated analytics in a much easier way than tools like SAS, and simplify how business users consume analytic insights. Analytic applications built on Alteryx enable executives to identify and seize market opportunities, outsmart their competitors, increase customer loyalty and drive more revenue. More than 300 customers, including Experian Marketing Services and McDonald’s, and 200,000+ users worldwide rely on Alteryx daily.
ClearStory Data is making it easy for business users to find, combine and interactively analyze big, diverse data across first-party and third-party sources for immediate insights. The ClearStory Data team has decades of combined experience at Aster Data, BusinessObjects, Cloudera, Google, Facebook, Netscape, Opsware, Oracle, Salesforce.com and Teradata, The company is backed by investments from Andreessen Horowitz, Google Ventures, Khosla Ventures, Kleiner Perkins Caufield & Byers and Silicon Valley industry leaders.
Cloudera pioneered the business case for Hadoop with CDH, the world’s most comprehensive, tested and widely deployed distribution of Hadoop. Its Platform for Big Data, Cloudera Enterprise, empowers enterprises to Ask Bigger Questions™ and gain rich, actionable insights from all their data to derive real business value and competitive advantage. As the top contributor to the Apache open source community and leading educator of data professionals, with tens of thousands of nodes under management and hundreds of customers across diverse markets, Cloudera is the category leader that sets the standard for Hadoop in the enterprise. Cloudera delivers capabilities of direct interest to analysts, including tools for data provenance and data search as well as other analytics capabilities. Cloudera also enables almost every other analytical technology available on the Big Data market today.
Cloudwick is a leader in Big Data people, process and technology transformation. With more than 60,000 hours of Cloudera, Hortonworks, MapR and DataStax production services to leading Fortune 1000 clients like Bank of America, FINRA, Visa, American Express, T-Mobile, Apixio and NetApp Cloudwick is the right partner for your Big Data project. Talk to Cloudwick if you need a team player, team lead or an entire team for your Big Data project.
Datameer’s Hadoop-based Big Data Analytics solution makes it easy for business users to discover insights in any data, regardless of its structure, size or source. With wizard-based data integration, schema-free, advanced analytics and sophisticated data visualization capabilities, Datameer is fully extensible and easily integrates into existing data infrastructures. Datameer scales from a laptop to thousands of nodes and is available for all major Hadoop distributions including Apache, Cloudera, EMC, Hortonworks, IBM, MapR, Yahoo!, Amazon and Microsoft. The Datameer Analytics App Market provides pre-built analytic applications built by subject matter experts to jumpstart the process on common analytical tasks.
DataRPM delivers industry’s first natural language and search-based Business Intelligence platform for Big Data that can be embedded into Data of Everything including software, streaming data, websites, blogs, intranets etc. either on the cloud or on premises. DataRPM’s ground breaking computational search technology enables users to mash-up data from any source for real-time ad-hoc analysis with the ability to just ask questions or search and get back results with rich visualizations and interactive capability to slice-dice, drill-down, filter and collaborate in-place among stakeholders to make informed decisions. DataRPM is privately held and venture funded. It was recognized as one of DC’s hottest startups by the Tech Cocktail Showcase and is ranked as a Top 50 analytics company by Signl.
DataTorrent is the first data & action platform in the world that can instantaneously process streaming data on a massive-scale. Built exclusively on Hadoop 2.0, it lets enterprises process, monitor, analyze, and act on massive amounts of unstructured or structured data in real-time. DataTorrent runs directly in your Hadoop cluster in memory and handles the processing and transformation of your data instantaneously, with built-in fault tolerance and elasticity. Unlike traditional batch processing that can literally take hours, DataTorrent enables immediate “NowTime” decision making.
DECISIVE ANALYTICS Corporation (DAC) is engaged by commercial and government clients to solve their most complex analytical problems. Their CONTOUR product is designed to digest large volumes of data to distill hidden relationships and meanings. With the ability to work with text, video or voice, in both structured and unstructured formats, users can analyze big data from the web, Twitter, Facebook, Youtube or any database of interest to obtain intelligent information responsive to user queries. Of particular interest is CONTOUR’s ability to detect and accurately analyze sentiment which has a significant return for investment and marketing research.
Digital Reasoning enables the automated understanding of human communication. Digital Reasoning’s award-winning machine learning platform, Synthesys, identifies threats, risks and opportunities by transforming information into a private Knowledge Graph. Digital Reasoning is headquartered outside of Nashville, Tennessee, with offices in Washington, D.C., and New York.
Haystax/Digital Sandbox provides analytic software products and services for threat and risk analysis and monitoring to National Security, Public Safety, and Homeland Security missions. Federal, State, and Local agencies use Digital Sandbox commercial software product suites to quantify and monitor risks from natural and man-made threats, and to direct resources based on threat and risk priorities. Digital Sandbox’s suite of secure and cloud-deployable software tools provide geospatial, temporal, and real-time streaming information feeds to monitor threats and risks for analysts, field operations teams and command staff. Digital Sandbox technology employs patented risk analytics to fuse multiple, disparate information streams and identify priority information dynamically based on sophisticated models of threat and risk. These analytics are deployed onto the Digital Sandbox commercial software platform and provided directly to operational users through visual displays in command centers, analytic cells, and in the field on mobile platforms.
Kapow Software, a Kofax company, provides an agile Big Data integration platform that organizations rely on to nimbly extract critical information from any source – be it conventional or big data – then make it actionable and accessible across the organization. Kapow Software helps modernize the workplace, improves business processes, and drives better business results. It’s trusted by hundreds of large global enterprises, including Audi, Intel, Fiserv, Deutsche Telekom, NetApp and more than a dozen federal agencies. For more information, please visit: www.kapowsoftware.com.
Karmasphere powers full-fidelity analytics on Hadoop with the most streamlined, open and enterprise-ready approach to Big Data analytics on the market today. The Karmasphere Workspace for Big Data Analytics is uniquely designed to natively extract value from Big Data without the need for abstraction or replication, which significantly reduces total cost of ownership and complexity. To make Big Data readily available to both data and business analysts, Karmasphere provides both Hadoop-standard SQL and visual data exploration. Karmasphere makes it easier for customers, such as Autodesk, Chevron, Chillingo, Intel and Supervalu, to deeply understand their customers and optimize their products, services and customer experience.
LucidWorks, the trusted name in Search, Discovery and Analytics, transforms the way people access information to enable data-driven decisions. Leveraging both structured and unstructured data built on the power of Apache Lucene/Solr open source search, LucidWorks delivers unmatched stability, scalability, and time-to-delivery for search applications. LucidWorks Search provides ease of use development to access up to billions of documents with sub-second query and faceting response time. LucidWorks Big Data tightly integrates key Apache projects needed to build and deploy applications providing ubiquitous access to the data trapped inside Hadoop.
Pentaho is building the future of business analytics. Pentaho’s open source heritage drives continued innovation in a modern, integrated, embeddable platform built for accessing all data sources. With support for all of the leading Hadoop distributions, NoSQL databases and high performance analytic databases, Pentaho provides the broadest support for big data analytics, as well as integration and orchestration of big data and traditional sources.
Platfora’s mission is to empower customers to transform their businesses into fact-based enterprises. Platfora masks the complexity of Hadoop, making it easy for customers to understand all the facts in their business across events, actions, behaviors and time. Follow @platfora and #FactBased on twitter.
Web intelligence is an emerging intelligence capability that draws on the web: the richest real-time information about the world, generated and updated by millions of people every day. Recorded Future organizes this flood of rich, real-time reporting to reveal competitive and risk insights, using a Temporal Analytics™ Engine. Their capabilities serve a wide variety of missions, from predicting market activity to assessing cyber threats to assessing overall risk.
Revelytix produces enterprise software empowering data scientists and business analysts working with Hadoop-based datasets. The Loom Registry brings order to the chaos of Hadoop clusters by managing datasets, recording workflows, and capturing complete data lineage and provenance information. The Loom Server simplifies MapReduce using an extensible workflow paradigm, automatically updating the Loom Registry with workflow results. Revelytix unlocks the full potential of Hadoop — with Loom.
Revolution Analytics delivers advanced analytics software at half the cost of existing solutions. The company brings high performance, productivity, and enterprise readiness to open source R, the most powerful statistics software in the world. To equip R for the demands and requirements the modern data-driven business, Revolution Analytics builds on open source R with innovations in big data analysis, integration and enterprise deployment. Leading organizations including Merck, Bank of America and Mu Sigma rely on Revolution R Enterprise for their data analysis, development and mission-critical production needs. Revolution Analytics is committed to fostering the growth of the R community, and offers free licenses of Revolution R Enterprise to academia. Revolution Analytics is headquartered in Palo Alto, Calif. and backed by North Bridge Venture Partners and Intel Capital.
SitScape’s award-winning, Web-based, User-Defined-Operating-Picture (UDOP) software product delivers the promise of on-demand situational awareness and information at-a-glance with zero infrastructure changes. It empowers knowledge workers to quickly assemble lightweight visual composite Web applications in minutes.
Tableau Software helps people see and understand data. Tableau’s award-winning software delivers fast analytics, visualization and rapid-fire business intelligence on data of any size, format, or subject. The result? Anyone can get answers from data quickly, with no programming required. From executive dashboards to ad-hoc reports, Tableau lets you share mobile and browser-based, interactive analytics in a few clicks. More than 9,000 organizations, including some of the world’s largest enterprises, rely on Tableau Software. Learn more at: www.tableausoftware.com.
Founded by Stephen Wolfram in 1987, Wolfram Research is one of the world’s most respected software companies-as well as a powerhouse of scientific and technical innovation. As pioneers in computational science and the computational paradigm, we have pursued a long-term vision to develop the science, technology, and tools to make computation an ever-more-potent force in the world. At the center is Mathematica, our ever-advancing core product that launched modern technical computing and has become the world’s most powerful global computation system. Mathematica represents a unique blend of major research breakthroughs, outstanding user-oriented design, and world-class software engineering.
Designed to support Big Data, Zoomdata’s Stream Processing technology delivers real time data feeds to tablet and browser based devices. Through the use of touch screen devices, users are able to interact with data in real time, rewind the data, compare the data and share views with their colleagues.
We firmly believe that technologies must be supported by strong companies, so we focus on companies with proven ability to serve in real enterprises. In most cases we select VC backed firms because those come with staying power. We love open source, but open source solutions should also be supported by a strong firm. We also believe it is important to only report on firms that have products that are really available now (no vaporware). Additionally, we believe most firms that have a capability that can make a difference for the modern analyst will be interested in demonstrating that capability at Hadoop World. This last assumption allowed us to get a jumpstart on our first list. We started our process by reviewing the full list of sponsors and exhibitors at the coming Hadoop World (for a full list of all exhibitors see here). We then reviewed previous research at our CTOlabs.com and CTOvision.com sites to round out this initial list.
We know our methodology has some holes. But as good analysts we are going to keep our eyes and ears open for other technologies we can report on and will modify this list as required. We also know we have you, dear readers, to check our assumptions and give us feedback on the list. If you have or know of a firm we should consider for this, let us know by completing our Analytical Technology Survey Form.
Countless business models have spawned from the IaaS industry – resell Web hosting, blogs, public cloud, and on and on. With the overwhelming amount of tools available to us, it's sometimes easy to overlook that many of them are just new skins of resources we've had for a long time. In his general session at 17th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, an IBM Company, broke down what we have to work with, discussed the benefits and pitfalls and how we can best use them to design hosted applications.
Nov. 30, 2015 03:45 PM EST
Most of the IoT Gateway scenarios involve collecting data from machines/processing and pushing data upstream to cloud for further analytics. The gateway hardware varies from Raspberry Pi to Industrial PCs. The document states the process of allowing deploying polyglot data pipelining software with the clear notion of supporting immutability. In his session at @ThingsExpo, Shashank Jain, a development architect for SAP Labs, discussed the objective, which is to automate the IoT deployment process from development to production scenarios using Docker containers.
Nov. 30, 2015 03:30 PM EST
We all know that data growth is exploding and storage budgets are shrinking. Instead of showing you charts on about how much data there is, in his General Session at 17th Cloud Expo, Scott Cleland, Senior Director of Product Marketing at HGST, showed how to capture all of your data in one place. After you have your data under control, you can then analyze it in one place, saving time and resources.
Nov. 30, 2015 03:15 PM EST Reads: 243
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
Nov. 30, 2015 03:00 PM EST Reads: 493
Just over a week ago I received a long and loud sustained applause for a presentation I delivered at this year’s Cloud Expo in Santa Clara. I was extremely pleased with the turnout and had some very good conversations with many of the attendees. Over the next few days I had many more meaningful conversations and was not only happy with the results but also learned a few new things. Here is everything I learned in those three days distilled into three short points.
Nov. 30, 2015 02:00 PM EST Reads: 367
DevOps is about increasing efficiency, but nothing is more inefficient than building the same application twice. However, this is a routine occurrence with enterprise applications that need both a rich desktop web interface and strong mobile support. With recent technological advances from Isomorphic Software and others, rich desktop and tuned mobile experiences can now be created with a single codebase – without compromising functionality, performance or usability. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, demonstrated examples of com...
Nov. 30, 2015 01:45 PM EST Reads: 432
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningful and actionable insights. In his session at @ThingsExpo, Paul Turner, Chief Marketing Officer at...
Nov. 30, 2015 01:45 PM EST Reads: 435
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu’s platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
Nov. 30, 2015 01:00 PM EST Reads: 538
In his General Session at 17th Cloud Expo, Bruce Swann, Senior Product Marketing Manager for Adobe Campaign, explored the key ingredients of cross-channel marketing in a digital world. Learn how the Adobe Marketing Cloud can help marketers embrace opportunities for personalized, relevant and real-time customer engagement across offline (direct mail, point of sale, call center) and digital (email, website, SMS, mobile apps, social networks, connected objects).
Nov. 30, 2015 12:45 PM EST Reads: 342
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, exploreed the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
Nov. 30, 2015 10:45 AM EST Reads: 462
Two weeks ago (November 3-5), I attended the Cloud Expo Silicon Valley as a speaker, where I presented on the security and privacy due diligence requirements for cloud solutions. Cloud security is a topical issue for every CIO, CISO, and technology buyer. Decision-makers are always looking for insights on how to mitigate the security risks of implementing and using cloud solutions. Based on the presentation topics covered at the conference, as well as the general discussions heard between sessions, I wanted to share some of my observations on emerging trends. As cyber security serves as a fou...
Nov. 30, 2015 10:30 AM EST Reads: 355
With all the incredible momentum behind the Internet of Things (IoT) industry, it is easy to forget that not a single CEO wakes up and wonders if “my IoT is broken.” What they wonder is if they are making the right decisions to do all they can to increase revenue, decrease costs, and improve customer experience – effectively the same challenges they have always had in growing their business. The exciting thing about the IoT industry is now these decisions can be better, faster, and smarter. Now all corporate assets – people, objects, and spaces – can share information about themselves and thei...
Nov. 30, 2015 10:00 AM EST Reads: 294
The cloud. Like a comic book superhero, there seems to be no problem it can’t fix or cost it can’t slash. Yet making the transition is not always easy and production environments are still largely on premise. Taking some practical and sensible steps to reduce risk can also help provide a basis for a successful cloud transition. A plethora of surveys from the likes of IDG and Gartner show that more than 70 percent of enterprises have deployed at least one or more cloud application or workload. Yet a closer inspection at the data reveals less than half of these cloud projects involve production...
Nov. 30, 2015 09:00 AM EST Reads: 506
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true change and transformation possible.
Nov. 30, 2015 08:00 AM EST Reads: 566
Microservices are a very exciting architectural approach that many organizations are looking to as a way to accelerate innovation. Microservices promise to allow teams to move away from monolithic "ball of mud" systems, but the reality is that, in the vast majority of organizations, different projects and technologies will continue to be developed at different speeds. How to handle the dependencies between these disparate systems with different iteration cycles? Consider the "canoncial problem" in this scenario: microservice A (releases daily) depends on a couple of additions to backend B (re...
Nov. 30, 2015 07:00 AM EST Reads: 471
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
Nov. 30, 2015 07:00 AM EST Reads: 384
Container technology is shaping the future of DevOps and it’s also changing the way organizations think about application development. With the rise of mobile applications in the enterprise, businesses are abandoning year-long development cycles and embracing technologies that enable rapid development and continuous deployment of apps. In his session at DevOps Summit, Kurt Collins, Developer Evangelist at Built.io, examined how Docker has evolved into a highly effective tool for application delivery by allowing increasingly popular Mobile Backend-as-a-Service (mBaaS) platforms to quickly crea...
Nov. 30, 2015 06:00 AM EST Reads: 389
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Nov. 30, 2015 05:30 AM EST Reads: 496
Growth hacking is common for startups to make unheard-of progress in building their business. Career Hacks can help Geek Girls and those who support them (yes, that's you too, Dad!) to excel in this typically male-dominated world. Get ready to learn the facts: Is there a bias against women in the tech / developer communities? Why are women 50% of the workforce, but hold only 24% of the STEM or IT positions? Some beginnings of what to do about it! In her Day 2 Keynote at 17th Cloud Expo, Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, wil...
Nov. 30, 2015 04:00 AM EST Reads: 609
PubNub has announced the release of BLOCKS, a set of customizable microservices that give developers a simple way to add code and deploy features for realtime apps.PubNub BLOCKS executes business logic directly on the data streaming through PubNub’s network without splitting it off to an intermediary server controlled by the customer. This revolutionary approach streamlines app development, reduces endpoint-to-endpoint latency, and allows apps to better leverage the enormous scalability of PubNub’s Data Stream Network.
Nov. 30, 2015 04:00 AM EST Reads: 350