SQream
Active
AI Enablers Computing Technologies
Deep Learning Machine Learning

Business Overview

DESCRIPTION

SQream Technologies has redefined big data analytics with SQream DB, a complementary SQL database harnessing the power of GPU to enable fast, flexible, and cost-efficient analysis of massive datasets of hundreds of terabytes or more. SQream DB integrates seamlessly into enterprises’ MPP ecosystems – whether on-premise, on the cloud or as a hybrid – drastically reducing query times and enabling previously unobtainable business intelligence. With SQream, raw data is analyzed directly, enabling data scientists and BI analysts to ask more questions about more data from a variety of perspectives without the need for arduous preparation. Leading organizations in telecom, retail, healthcare, finance and additional industries around the world use SQream DB to accelerate business intelligence and gain access to a world of never-before-seen insights. Led by founders Ami Gal and Razi Shoshani, SQream’s management brings a deep understanding of enterprise data analytics, as well as over 20 years of technological and business experience.

FOUNDED
September 2010
EMPLOYEES
66
FUNDING STAGE
Series B
TOTAL FUNDING
$73.2 Million
SECTORS
AI Enablers Computing Technologies

Founders

Ami Gal
CEO

Funding Rounds

Date Announced

Funding Round

Amount Raised

Investors

AI Technology Stack

AI EMPLOYEES
2
AI TYPES
Deep Learning Machine Learning
AI HARDWARE
GPU

AI Patents

Method and system for compressing genome sequences using graphic processing units
Granted
A system and method for the parallel execution of database queries over cpus and multi core processors
Granted
System and a method for executing sql-like queries with add-on accelerators
Pending
System and a method for executing sql basic operators on compressed data without decompression process
Granted
Method for executing queries on streaming data using graphic processing units
Granted
Method for pre-processing and processing query operation on multiple data chunk on vector enabled architecture
Method for executing queries on data chunks using graphic processing units

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