THE FASTEST BIG DATA ANALYTICS

Arnon ShimoniBig Data Solutions Architect

March 2016

700,000 – 1,300,000 points per second

Autonomous car sensors generate a lot of data

4x the sensors means millions of transactions every second

How do you handle that kind of data?

(Without storing it for later analysis)

The question is…

Stick it in Oracle? Exasol? SAP HANA?

Will they fit in a car?

Perhaps you can handle it with Hadoop?

10,000 machines is... A lot... Of power, heat, floorspace, maintenance

How they do it How we do it

Super fast analytics with SQream DB software

inside commodity server

A GPU-Based SQL Database

100x faster results in a small footprint

Designed from the

ground up around GPU capabilities

Easily analyseup to petabytes in a standard 2U enclosure

On the fly fast

compression

Extreme scalability

Very Fast

Faster querying = more questions answered per hour

SQream was 37% faster thanTeradata, at Orange Telecom

when analyzing 4.3 billion CDRs, for 30 million subscribers

SQream was 16x faster thanMongoDB at a Homeland Security company

when querying 1.6 billion geospatial entitiespoint in polygon, distance calculation, line-crossings

SQream Teradata

SQream MongoDB

VS

VS

Scale in, up, and out

SQream DB scales easily both in and out

Add more GPUs to add more compute power

Add more nodes when you need higher availability

Size

The first of it’s kind low-power, embedded analytics platform

SQream can also run on an embedded platform with an Nvidia GPU like the Jeston TX1 or the Drive platform

which is certified for automotive use

NVIDIA Tegra X164 bit ARMv8

256 CUDA coresprocessing power

Multiple LIDAR / radar sensors

Ultrasonic range sensors

Cameras

Radar rangefinders

Other CANBUS sensors, GPS, …

A big data supercomputer in the car

• Available as Cloud (on SoftLayer )or on-premise solution

• Pay per TB, not per compute or traffic

• SQream’s no hassle design will haveyou up and running quickly

110,000,000 entries representing 4 years of data

Seamless integration

Most common tools supported out-of-the-box

SQream DB server SQream DB Compiler

SQL parser

Optimizations

Parallel query graph plan

GPU/CPU Runtime

Columnar storage engine

GPU CUDA kernels for physical operators

SQL Query Data set

Query queue manager

connectors

JDBC ODBC ADO.NET Python Driver CLI client

Filesystemext4/XFS/ZFS

SQream Technologies Ltd - Confidential

Use SQream to analyze your telemetry

110,000,000 entries representing 4 years of data

arnon@sqreamtech.com 03-544-4871 www.sqream.com

Yad Harutzim 12Tel Aviv

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