Welcome!

Apache Authors: Dmitriy Stepanov, Yeshim Deniz, Pat Romanski, Lacey Thoms, Sandi Mappic

Related Topics: Big Data Journal, .NET, Virtualization, Web 2.0, Cloud Expo, Apache

Big Data Journal: Blog Feed Post

Classifying Today’s “Big Data Innovators”

These 13 vendors distribute 16 unique data management products

By

Editor’s note: The piece below by   first appeared on the Hadapt blog and is republished with permission here. The framework presented provides insight into the very dynamic market around “Big Data Innovators” and should be of use for classifying many other firms in this interesting space. -bg

Recently InformationWeek published a piece, authored by Doug Henschen, that listed 13 innovative Big Data vendors. The complete list is reproduced below:

1.  MongoDB
2.  Amazon (Redshift, EMR, DynamoDB)
3.  Cloudera (CDH, Impala)
4.  Couchbase
5.  Datameer
6.  Datastax
7.  Hadapt
8.  Hortonworks
9.  Karmasphere
10.  MapR
11.  Neo Technology
12.  Platfora
13.  Splunk

Big-Data3These 13 vendors distribute 16 unique data management products (since both Amazon and Cloudera offer multiple distinct data management/processing systems), all of which push the boundary on Big Data management.

In this post I will attempt to subcategorize these 16 products into a competitive grouping, where products placed inside the same group can be considered replacements for each other (and hence are competitive), and each group is complementary to every other group.

Before starting this classification, I will remove three products that, while potentially being interesting from a Big Data perspective, are often used outside of what has become known as the “Big Data realm”, and therefore their primary competitors did not make it on the InformationWeek list. These three products are Splunk (which typically competes with companies focused on the security, compliance, and IT operations management verticals), Amazon Redshift (which typically completes with traditional MPP database vendors), and Neo Technology (which, although usually classified as a “NoSQL database”, its focus on graph data makes it highly unique from a technology and use case perspective relative to the other NoSQL databases on this list).

The remaining 13 products can be classified into four distinct groups:
1.  Operational data stores that allow flexible schemas
2.  Hadoop distributions
3.  Real-time Hadoop-based analytical platforms
4.  Hadoop-based BI solutions

Group 1 (operational data stores that allow flexible schemas)
This group is composed of database products that can be used to manage active data for dynamic applications with hard to define (or hard to predict) schemas. The database must be optimized for inserting, retrieving, updating, or deleting individual data items in real-time (latencies on the order of milliseconds), but should also support some sort of interface for performing analysis of the data stored within. The dynamic nature of the typical use case for databases in this group implies a NoSQL interface, and either a key-value or document-store retrieval model. From the InformationWeek list, MongoDB, DynamoDB, Couchbase, and Datastax all fit in this category. Although there are some significant technical differences between these products, they can nonetheless be roughly described as potential replacements for each other in Group 1 use cases.

Group 2 (Hadoop distributions)
The products in this group are designed for very different situations than Group 1. Hadoop is typically used for large scale data analysis and batch processing. Rather than inserting, retrieving, updating, or deleting individual data items, Hadoop is optimized for scanning through large swaths of data, processing and analyzing the data as it proceeds. Hadoop has become the poster-child for “Big Data” due to its proven massive scalability, and its ability to handle the “variety” aspect of Big Data (since Hadoop does not require data to fit neatly into rows and columns in order to be analyzed and processed). From the InformationWeek list, Cloudera, Hortonworks, MapR, and Amazon EMR all fit in this category.

Group 3 (real-time Hadoop-based analytical platforms)
Group 3 takes Hadoop to the next level, transforming it from a mere batch processing system to a full-fledged analytical platform that can answer queries in real-time. Furthermore, by adding a more robust SQL interface to Hadoop (in addition to industry-standard ODBC connectors), group 3 products help to hide the complexity of Hadoop and the need for Hadoop specialists, since traditional business intelligence and visualization tools are now able to interface directly with data stored inside Hadoop. From the InformationWeek list, Hadapt clearly fits in this category, and with certain caveats, so does Cloudera Impala (the caveats are that as of the time of writing this blog post (a) Impala is an extremely young codebase and is still only in beta (b) Impala only supports a small subset of SQL and does not support UDFs or other ways to combine structured and unstructured data in the same query, so calling it an “analytical platform” might be a bit of a stretch).

Group 4 (Hadoop-based BI solutions)
Often lumped together with group 3 products,  group 4 products are often confused as being competitive with group 3 products. However, just as business intelligence tools and analytical database solutions are highly complementary and were often packaged together in the pre-Hadoop world, the same is true in the Hadoop/Big Data world. Therefore, Datameer, Karmasphere, and Platfora, all of which function as a business intelligence layer above Hadoop, are capable of working closely with the group 3 products (with announcements along these lines already starting to begin).

In conclusion, although “Big Data” is an enormous and rapidly growing market, one single data management software product is not going to rule the market. Rather, there are four major groups of data management solutions within the Big Data space; and while there is fierce competition within each group, at the macro level these groups can not only co-exist, but are highly complementary. In the long run, it is likely that the 2-3 leaders in each group will emerge and share the Big Data pie.

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley, former CTO of the Defense Intelligence Agency (DIA), is Founder and CTO of Crucial Point LLC, a technology research and advisory firm providing fact based technology reviews in support of venture capital, private equity and emerging technology firms. He has extensive industry experience in intelligence and security and was awarded an intelligence community meritorious achievement award by AFCEA in 2008, and has also been recognized as an Infoworld Top 25 CTO and as one of the most fascinating communicators in Government IT by GovFresh.

@ThingsExpo Stories
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...
Innodisk is a service-driven provider of industrial embedded flash and DRAM storage products and technologies, with a focus on the enterprise, industrial, aerospace, and defense industries. Innodisk is dedicated to serving their customers and business partners. Quality is vitally important when it comes to industrial embedded flash and DRAM storage products. That’s why Innodisk manufactures all of their products in their own purpose-built memory production facility. In fact, they designed and built their production center to maximize manufacturing efficiency and guarantee the highest quality of our products.
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. Over the summer Gartner released its much anticipated annual Hype Cycle report and the big news is that Internet of Things has now replaced Big Data as the most hyped technology. Indeed, we're hearing more and more about this fascinating new technological paradigm. Every other IT news item seems to be about IoT and its implications on the future of digital business.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. Download Slide Deck: ▸ Here
BSQUARE is a global leader of embedded software solutions. We enable smart connected systems at the device level and beyond that millions use every day and provide actionable data solutions for the growing Internet of Things (IoT) market. We empower our world-class customers with our products, services and solutions to achieve innovation and success. For more information, visit www.bsquare.com.
With the iCloud scandal seemingly in its past, Apple announced new iPhones, updates to iPad and MacBook as well as news on OSX Yosemite. Although consumers will have to wait to get their hands on some of that new stuff, what they can get is the latest release of iOS 8 that Apple made available for most in-market iPhones and iPads. Originally announced at WWDC (Apple’s annual developers conference) in June, iOS 8 seems to spearhead Apple’s newfound focus upon greater integration of their products into everyday tasks, cross-platform mobility and self-monitoring. Before you update your device, here is a look at some of the new features and things you may want to consider from a mobile security perspective.