Gartner Reveals the 2017 Hype Cycle for Data Management

September 29, 2017

STAMFORD, Conn., Sept. 29, 2017 — As data becomes ever more distributed across multiple systems, organizations have to cope with increasingly complex ecosystems and digital business requirements. The Gartner, Inc. Hype Cycle for Data Management helps CIOs, chief data officers (CDOs) and other senior data and analytics leaders understand the maturity of the data management technologies they are evaluating to provide a cohesive data management ecosystem in their organizations.

“Data management continues to be central to the move toward digital business. As requirements change within the architecture of the organization and place greater demands on underlying technology, the maturity and capability of many of the technologies highlighted in the Hype Cycle will advance rapidly,” said Donald Feinberg, vice president and distinguished analyst at Gartner. “Recent years have seen many new additions to the Hype Cycle, including in-memory, cloud, data virtualization, advanced analytics, data as a service, machine learning, graph, non-relational and Hadoop.”

Two technologies are of particular interest, in that they show the impact cloud computing is having on the data management discipline. Hadoop distributions are deemed to be obsolete before reaching the Plateau of Productivity because the complexity and questionable usefulness of the entire Hadoop stack is causing many organizations to reconsider its role in their information infrastructure. Instead, organizations are looking at increasingly competitive and convenient cloud-based options with on-demand pricing and fit-for-purpose data processing options.

As part of the same cloud-led trend, SQL interfaces to cloud object stores have appeared at the Innovation Trigger stage. “We expect these interfaces to represent the future of cloud database Platform as a Service (Paas) and reach the Plateau within two to five years because they are the focus of most cloud vendors and products in this space,” said Mr. Feinberg. “They enable organizations to interact with data stored in the cloud, using a familiar SQL syntax. Object stores are well suited to storing large volumes of multistructured data, typical of data lakes.”

Of the 35 other technologies highlighted on the 2017 Hype Cycle for Data Management, four are judged to be transformational in nature. Two — event stream processing (ESP) and operational in-memory database management system (IMDBMS) — are expected to reach the Plateau of Productivity within two to five years, while both blockchain and distributed ledgers are expected to take five to 10 years.

Event Stream Processing

ESP is one of the key enablers of digital business, algorithmic business and intelligent business operations. ESP technology, including distributed stream computing platforms (DSCPs) and event processing platforms (EPPs), is maturing rapidly. Stream analytics provided by ESP software improves the quality of decision-making by presenting information that could otherwise be overlooked.

Operational In-Memory DBMS

Operational In-Memory database management systems (IMDBMS) technology is maturing and growing in acceptance, although the infrastructure required to support it remains relatively expensive. Another inhibitor to the growth of operational IMDBMS technology is the need for persistence models that support the high levels of availability required to meet transaction SLAs. Nevertheless, operational IMDBMSs for transactions have the potential to make a tremendous impact on business value by speeding up data transactions 100 to 1,000 times.

Blockchain

Public distributed ledgers, including blockchain, continue to have high visibility, although organizations remain cautious about the future of public (permission-less) distributed ledger concepts due to scalability, risk and governance issues. Most business use cases have yet to be proven and extreme price volatility in bitcoin persists. Presupposing the technical and business challenges of distributed ledgers can be overcome; in the short term, organizations are most likely to use distributed ledger for operational efficiency gains via the use of shared information and infrastructure. Longer term, Gartner expects a complete reformation of whole industries and commercial activity as the programmable economy develops and ledgers contribute to the monetization of new ecosystems.

Distributed Ledgers

The requirements for more standards and enterprise-scale capabilities are evolving slowly, but distributed ledgers are still not adoptable in a mission-critical at-scale context. Their value propositions, compared with existing technology, are also not clearly established, making the widespread acceptance of the technology problematic. Private distributed ledger concepts are gaining traction, because they hold the promise to transform industry operating models and overcome some of the issues of scalability, risk management and governance that plague public ledgers. As with blockchain, however, many business use cases are unproven at this time.

Gartner clients can learn more in the report “Hype Cycle for Data Management 2017.” This research is part of the Gartner Trend Insight Report “2017 Hype Cycles Highlight Enterprise and Ecosystem Digital Disruptions.”With over 1,800 profiles of technologies, services and disciplines spanning over 100 Hype Cycles focused on a diversity of regions, industries and roles, this Trend Insight Report is designed to help CIOs and IT leaders respond to the opportunities and threats affecting their businesses, take the lead in technology-enabled business innovations and help their organizations define an effective digital business strategy. Information on further 2017 Hype Cycles covering data and analytics can be found on the Gartner Blog Network.

*Previously titled “Hype Cycle for Information Infrastructure, 2016, “Hype Cycle for Data Management, 2017”covers the broad aspects and technologies that describe, organize, integrate, share and govern data.

About the Gartner Data & Analytics Summits 2017/18

Gartner analysts will provide additional analysis on data and analytics leadership trends at the Gartner Data & Analytics Summits, taking place: November 20-21, 2017 in Frankfurt; February 26-27, 2018 in Sydney; March 5-8, 2018 in Grapevine, Texas; and March 19-21, 2018 in London. Follow news and updates from the events on Twitter using #GartnerDA.

About Gartner

Gartner, Inc. (NYSE: IT) is a leading research and advisory company. The company helps business leaders across all major functions in every industry and enterprise size with the objective insights they need to make the right decisions. Gartner’s comprehensive suite of services delivers strategic advice and proven best practices to help clients succeed in their mission-critical priorities. Gartner is headquartered in Stamford, Connecticut, U.S.A., and has more than 13,000 associates serving clients in 11,000 enterprises in 100 countries. For more information, visit www.gartner.com.


Source: Gartner

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire