How Businesses Can Create Value Out of Massive Datasets, the GPU Way

Everyday tools and interactions produce torrents of data by virtue of their deep functionality. The growth in mobile phones, online shopping, internet use, social networks, GPS communication, instrumented machinery, wearables and IoT fuels this trend.

From 2011 to 2026, we’re expecting to see a 17% compound annual growth rate in the big data market: In this 15-year timeframe, what was once a $7.6 billion market will soon become $84.69 billion. With the infusion of GPU-powered next-generation databases, the potential for this market could be even greater.

How SQream DB Makes Insights Accessible

To keep up with the massive growth of data, there is a growing trend of GPU-accelerated databases. SQream Technologies has developed an SQL-based database running queries on NVIDIA GPUs. This allows businesses to create value from their ever growing data in ways previously not thought possible.

Obtain 100X Faster With Minimal Changes

With minimum cost, hardware and infrastructure changes required, SQream enables entities to easily ingest, store and analyze heavy analytical workloads in near real time.

With SQream DB, the power of a full-rack database machine is condensed into a standard 2U server, delivering up to 100 times faster database access.

Data Quality/Performance

The speed, flexibility and scalability of SQream’s database surpass existing database analytics solutions by orders of magnitude.

SQream DB can be used as an analytical database or as an accelerator to an existing data warehouse. Businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights, resulting in significantly faster and more intelligent decisions.

GPU-Based SQL Databases

The computing power for databases experiences a full-body makeover when GPU servers get involved. Because modern GPUs have around 5,000 cores, the database involved suddenly takes on a massive parallel computing power with unprecedented query speed by virtue of its ability to render graphics.

Less Becomes More

What used to require unimaginable sizes and quantities of servers is now possible on one individual chip. But this time, the computing power grows exponentially — in other words, disproportionately to the size of the chip.

How does this impact the practical opportunities for businesses? How does it change the amounts of data they can analyze and integrate in actuality?

The relationship between speed scalability is indeed still counterintuitive, but in the positive sense of the word:

  • Both the client and the server can now explore amounts of data that are beyond the quantities they have ever known.
  • Because the database is non-indexed and parallel, dealing with chunks of metadata, its performance is ultra-fast.
  • The performance of the database is advanced to the extent that it requires much less human interaction. This translates into simplicity, speed and flexibility.

New Opportunities for Businesses

Next-gen databases are explicitly designed to overcome specific challenges that come up in data management:

  • Providing rapid data access to power real-time applications.
  • Bringing order to data in non-traditional formats.
  • Avoiding the costs and turnaround time required to develop a conventional database schema.

With the exponential growth in data being generated today and the expected growth rates to come, businesses need to prepare themselves by evaluating next-generation databases as a strategic way of controlling their big data domain.

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