The increasing volume, velocity, and variety of data is driving the need for more efficient data management. As data volume grows, the current strategy is to add more nodes, by distributing – either adding more CPU cores, or adding more compute nodes. Because the high volumes of data have out-grown the traditional server capabilities, and modern users and services are highly demanding in both data quantity and velocity – companies tend to compromise on the amount of data and quality-of-services given to these BI professionals and data scientists.
SQream DB is built-from-scratch to meet these modern requirements – with extreme scalability, easy to use SQL, low-touch tuning and administration, and straight-forward integration with your existing infrastructure.
This flagship product from SQream Technologies is 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 use today.
SQream’s value proposition is increased productivity, 20x-100x in query performance improvement with a reduced hardware footprint, lower software license fees and simplified administration resulting in more data provided for more insights at better service levels at significantly less cost for complex use cases when compared to currently utilized solutions.
Interacting with SQream DB is no different than interacting with another SQL RDBMS, even though it has many differences under the hood. SQream users can be completely oblivious of core counts, CUDA, blocks, warps, etc., but still benefit from all these technologies in a seamless manner with good old SQL. The SQream DB interface is ANSI-92 compliant SQL (with some extensions added). The query is issued by the user either directly or through a connector like ODBC or JDBC, as well as native Python and ADO.Net.
- Real-time rapid insights
- High ROI
- Low TCO
- Optimized for petabyte
- Rapid implementation
- Easy and intuitive usage
- Maximization of existing core IT investments.