Welcome!

Linux Containers Authors: Elizabeth White, Carmen Gonzalez, Yeshim Deniz, Sematext Blog, Liz McMillan

Related Topics: Open Source Cloud, @CloudExpo

Open Source Cloud: Article

NoHadoop: Big Data Requires Not Only Hadoop

The one area where MapReduce/Hadoop wins today is that it's freely available to anyone

Over the past few years, Hadoop has become something of a poster child for the NoSQL movement. Whether it's interpreted as "No SQL" or "Not Only SQL", the message has been clear, if you have big data challenges, then your programming tool of choice should be Hadoop. Sure, continue to use SQL for your ancient legacy stuff, but when you need cutting edge performance and scalability, it's time to go Hadoop.

The only problem with this story is that the people who really do have cutting edge performance and scalability requirements today have already moved on from the Hadoop model. A few have moved back to SQL, but the much more significant trend is that, having come to realize the capabilities and limitations of MapReduce and Hadoop, a whole raft of new post-Hadoop architectures are now being developed that are, in most cases, orders of magnitude faster at scale than Hadoop.



The problem with simple batch processing tools like MapReduce and Hadoop is that they are just not powerful enough in any one of the dimensions of the big data space that really matters. If you need complex joins or ACID requirements, SQL beats Hadoop easily. If you have realtime requirements, Cloudscale beats Hadoop by three or four orders of magnitude. If you have supercomputing requirements, MPI or BSP

beat Hadoop easily. If you have graph computing requirements, Google's Pregel beats Hadoop by orders of magnitude. If you need interactive analysis of web-scale data sets, then Google's Dremel architecture beats Hadoop by orders of magnitude. If you need to incrementally update the analytics on a massive data set continuously, as Google now have to do on their index of the web, then an architecture like Percolator beats Hadoop easily.

The one area where MapReduce/Hadoop wins today is that it's freely available to anyone, but for those that have reasonably challenging big data requirements, that simple type of architecture is nowhere near enough.

More Stories By Bill McColl

Bill McColl left Oxford University to found Cloudscale. At Oxford he was Professor of Computer Science, Head of the Parallel Computing Research Center, and Chairman of the Computer Science Faculty. Along with Les Valiant of Harvard, he developed the BSP approach to parallel programming. He has led research, product, and business teams, in a number of areas: massively parallel algorithms and architectures, parallel programming languages and tools, datacenter virtualization, realtime stream processing, big data analytics, and cloud computing. He lives in Palo Alto, CA.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the mod...
Tapping into blockchain revolution early enough translates into a substantial business competitiveness advantage. Codete comprehensively develops custom, blockchain-based business solutions, founded on the most advanced cryptographic innovations, and striking a balance point between complexity of the technologies used in quickly-changing stack building, business impact, and cost-effectiveness. Codete researches and provides business consultancy in the field of single most thrilling innovative te...
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
With the introduction of IoT and Smart Living in every aspect of our lives, one question has become relevant: What are the security implications? To answer this, first we have to look and explore the security models of the technologies that IoT is founded upon. In his session at @ThingsExpo, Nevi Kaja, a Research Engineer at Ford Motor Company, discussed some of the security challenges of the IoT infrastructure and related how these aspects impact Smart Living. The material was delivered interac...
Intel is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley. It is the world's second largest and second highest valued semiconductor chip maker based on revenue after being overtaken by Samsung, and is the inventor of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies processors for computer system manufacturers such as Apple, Lenovo, HP, and Dell. Intel also manufactu...
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
OpsRamp is an enterprise IT operation platform provided by US-based OpsRamp, Inc. It provides SaaS services through support for increasingly complex cloud and hybrid computing environments from system operation to service management. The OpsRamp platform is a SaaS-based, multi-tenant solution that enables enterprise IT organizations and cloud service providers like JBS the flexibility and control they need to manage and monitor today's hybrid, multi-cloud infrastructure, applications, and wor...
Apptio fuels digital business transformation. Technology leaders use Apptio's machine learning to analyze and plan their technology spend so they can invest in products that increase the speed of business and deliver innovation. With Apptio, they translate raw costs, utilization, and billing data into business-centric views that help their organization optimize spending, plan strategically, and drive digital strategy that funds growth of the business. Technology leaders can gather instant recomm...
The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems. Curriculum incorporates elements of data science, robotics, and machine learning-enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, ...