Bringing Data Grids to the Masses

By Nicole Hemsoth

July 17, 2006

In this Q&A, GRIDtoday spoke with Tangosol CEO Cameron Purdy about the company's recent success in getting large enterprises to adopt it data grid solution, Coherence. Purdy also offers his thoughts on where the Grid market, in general.



GRIDtoday:
To start, I'd like to ask if you could give our readers a brief history of Tangosol. When was the company founded, how has it grown, etc.?
 
CAMERON PURDY: Tangosol was founded in 2000 and initially provided consulting around solving performance issues in large-scale, typically clustered, enterprise Java and J2EE applications. After many engagements across dozens of large enterprises, we saw the same issue cropping up again and again: data latency caused by bottlenecks on backend data sources and the inability to keep cached data coherent across multiple application servers. We focused on understanding and solving this problem and Coherence was born. The company has enjoyed consistent and continuous growth and profitability since Coherence 1.0 was released in 2001. Today, our customers are large enterprises who must scale their data-intensive applications in high volume environments in a reliable, predictable way, and insure that data access is fast enough even for the most demanding applications.

Gt: How is the company doing right now? It seems like I've been seeing its name more and more in the news, so that must be a good thing. Right?

PURDY: Right now Tangosol is benefiting from years of investment in customer-driven technology development and the resulting large and loyal customer base. At the same time, the market is realizing that our technology is a key enabler to successful data grid adoption. There is a great deal of purchase momentum from large enterprises, and the raised awareness that you are seeing is further fueling our growth and leadership position in the market.

Gt: Can you talk a little about Coherence, Tangosol's flagship solution? What makes it unique among data-focused Grid solutions?
 
PURDY: Coherence is unique for two reasons. First, our peer-to-peer mesh architecture ensures reliability, scalability and performance, regardless of the number of nodes in the grid. Other solutions sacrifice some of the three to achieve just one or two of these attributes as they add nodes. Just as our underlying architecture is peer-to-peer, so is our data management. We are able to equally partition data across the entire data grid, and do so automatically, dynamically, and transparently. This enables Coherence to manage the data grid, the data in the grid and the fault tolerance of the data. Adding nodes to or subtracting them from the grid doesn't decrease performance or alter the continuous availability of data.

Second, Coherence has advanced functionality around the parallelization of data processing and data calculation. This enables the calculations to be dispatched to execute locally wherever the data happens to be distributed to — all in parallel across the breadth of the data grid simultaneously, with both once-and-only-once processing and the aforementioned reliability. This combination of dynamic data and processing partitioning enables unparalleled optimization of both data access and calculations and makes Coherence completely unique.

Gt: Many people think of cycle harvesting when they think of Grid computing. Is there a CPU-power aspect to Coherence, or is it focused solely on managing data?

PURDY: The truth is that there are very few applications that are solely data intensive or solely computationally intensive, which is why our partnership with DataSynapse has been so fruitful for both of us. Most business applications — even those that are computationally intensive — end up suffering from data starvation as the applications scale out horizontally on a grid, because computational power is a linear function of the number of servers. Coherence scales the data throughput linearly as well — within the same environment.

Gt: In the past year, Tangosol has announced partnerships with both BEA Systems and DataSynapse. How are those partnerships working out, and what is it about those companies and their respective products that complement what you are trying to do with Coherence?

PURDY: Both partnerships are customer-driven and customer-focused and are being validated in the market by new joint implementations. Our strategy has always been to complement and support our partners and to ensure that our shared customers get substantial return on their investment from the joint solutions. With BEA, our recent efforts have been to provide out-of-the-box Coherence integration with WebLogic Portal Server and to help Portal customers get the maximum scalability and performance from their existing and new Portal deployments.

With DataSynapse, our joint customers are focused not only on achieving limitless scalability of real-time financial analysis and computational capacity, but on building a service-based infrastructure for consolidating information and resources across entire enterprises. Our partnership fundamentally supports the realization of our vision of data as a service across the enterprise.

Gt: Would you attribute any recent success and increase in activity to an evolution of the Grid market from a focus on the CPU aspect to a more data-centric focus?

PURDY: Absolutely. Companies are realizing massive benefits from a ubiquitous data grid available to all applications, providing fast, scalable access to data, while consolidating access across disparate back-end data sources.

Gt: Where do you see the Grid market heading in the next few years? What trends do you see developing, and on what technologies will Grid vendors be able to hang their hats?

PURDY: Over the next few years, grids will become commonplace as more companies use them as a “shared infrastructure” more than as a shared compute resource. Grid vendors providing solutions that virtualize applications, data and resources, while reducing Grid complexity, will all benefit from the broader adoption they are driving.

Gt: Where does Tangosol fit into all of this?

PURDY: We believe that our unique ability to reliably and transparently virtualize data and processing across grids will continue to make us a strategic choice in this market. Our proven track record and our dedication to the success of our customers has created a very strong foundation for future company growth.

Gt: Finally, I'm wondering what kinds of businesses do you see as the ideal customers for Coherence, and data grid solutions in general? How does this line up with what Tangosol has done thus far in terms of customers and what it plans to do in the future?

PURDY: We are gaining many new customers — large enterprises — in almost every vertical market, further validating our expert knowledge of the challenges associated with data availability, and the value that Coherence provides to these businesses and markets. We are witnessing the democratizing force of Grid computing: we and our partners are making available the technology that the largest financial and business systems in the world are built on to benefit wider ranges of applications across more segments of the industry.

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!

EuroHPC Expands: United Kingdom Joins as 35th Member

May 14, 2024

The United Kingdom has officially joined the EuroHPC Joint Undertaking, becoming the 35th member state. This was confirmed after the 38th Governing Board meeting, and it's set to enhance Europe's supercomputing capabilit Read more…

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Software Foundation (HPSF). The announcement was made at the ISC Read more…

Nvidia Showcases Work with Quantum Centers at ISC 2024

May 13, 2024

With quantum computing surging in Europe, Nvidia took advantage of ISC 2024 to showcase its efforts working with quantum development centers. Currently, Nvidia GPUs are dominant inside classical systems used for quantum Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger systems (e.g. exascale), according to Hyperion Research’s ann Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Oak Ridge National Laboratory in Tennessee, USA, retains its Read more…

Harvard/Google Use AI to Help Produce Astonishing 3D Map of Brain Tissue

May 10, 2024

Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that Read more…

Shutterstock 493860193

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal 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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire