Details
Scalable Big Data doesn't have to be complicated.
SQream provides a GPU powered big data analytics solution for data scientists, business intelligence professionals and developers to execute complex SQL queries to derive tactical and strategic insights from 10s of TB to 100s of TB to 1 PB or more of raw data using the tools they already use today.
SQL Database Redefined
SQream Technologies delivers a high-performing Next Generation GPU-powered SQL database designed to quickly relieve Big Data and complex Analytics pains to enable businesses interact dynamically with their digital assets
With minimum cost, hardware and infrastructure changes required, SQream enables businesses to easily ingest, store and analyze enormously large datasets in near real-time With SQream there is no need for any indexing, complex data modeling or special skill sets. This provides the customer with flexibility in an interactive business environment where rapid insights from large datasets are time critical for data-driven business decision making.
The high-density compute of NVIDIA GPUs allows SQream to support highly advanced ANSI SQL queries, making it a breeze to move complex analytic queries over from other databases. In visualization tools like Tableau, the change is as simple as selecting “Switch to New Data Source.” SQream native SQL support also allow users to easily build their own visualizations by connecting open-source APIs with ODBC, JDBC, Python, PHP, and NodeJS connectors..
Simplicity and performance at scale
Delivering a major technology boost speed- scale and capacity wise, requiring much less hardware and no special skill sets translates into the most cost-effective big data analytics solution available in the market. With SQream, big data projects can be completed and compromises related to scope, speed and scale can be evoked.
Designed for and around the GPU
Harnessing the power of thousands of parallel processing cores in cost-effective GPU. A single throughput-oriented GPU can have as many as 5,000 onboard cores, delivering superior performance at a significantly lower cost, and 90% reduced power consumption. With up to 40 times more processing power per node, suitable for aggressive data operations, and outstanding speed and scalability – it is easy to see how SQream DB benefits from the use of GPUs.
As an example, a SQream SQL database running on a single x86 server in a 1U chassis equipped with four Nvidia V100 GPUs, delivers the power of 20,480 Cores. Providing this kind of processing power on a conventional database platform would be unthinkable.
One of SQream’s other main differentiators from other GPU databases, is its ability to adapt to increasingly massive sets of data. While other databases can analyse gigabytes worth of data in-memory extremely quickly, their scalability is limited. On the other hand, SQream was created to handle data stores of up to hundreds of petabytes.
SQream DB v2020.1 enhancements include:
- Streamlined HDFS Integration
- ORC Columnar Format Joins Parquet
- S3 Connectivity
- Direct Queries of Massive Data
- Fast Iteration of AI/ML Workflows
To speak to our technicians to find our more about SQream or are interested in a trial, please contact us 0207 352 7007
Part No. | SQREAM-3.0 |
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End of Life? | No |