Kognitio Cloud on Amazon Web Services

Web Seminar February 2013

Today’s Web Seminar: Kognitio Cloud

Presenters

Key Note Presenter Ian Bird As VP Cloud Solutions for Kognitio, Ian is responsible for defining the Kognitio Cloud solutions and delivery. He works closely with clients to ensure successful Kognitio Cloud implementations

Host Michael Hiskey Vice President, Marketing & Business Development Kognitio is leading the Big Data Analytics market and Michael Leads Marketing there…

Format & Agenda Brief Overview – Kognitio and Kognitio Cloud Demonstration - spinning up on AWS in minutes Q&A - open discussion

Kognitio

History of client success Kognitio is focused on providing the premier high-performance analytical platform to power business insight

around the world

• Kognitio invented the in-memory analytical platform, first taking it to market in 1989

• Privately held • Labs in the UK - HQ in New York, NY

Kognitio Analytical Platform

• A high performance in-memory analytical platform that doesn’t require specialized Hardware

• Software – quick simple deployment on commodity hardware or Cloud

• Scalable – Linear scale-out through best of breed parallelism

• Powerful – Unrivalled MPP analytical performance – Harnesses all CPU cores made available

• Low TCO – Linux, commodity hardware, no special hardware needs – SQL relational core familiar to most DBAs

For Analytics, the CPU is King

• The key metric of any analytical platform should be GB/CPU – It needs to effectively utilize all available cores – Hyper threads are NOT the equivalent of cores

• Interactive/adhoc analytics: – THINK data to core ratios ≈ 10GB data per CPU core

• Every cycle is precious – CPU cores need to used efficiently – Techniques such as “dynamic machine code generation”

Makes in-memory databases go slower Makes disk-based databases go faster

Careful – performance impact of compression:

Speed & Scale are the Requirements • Memory & CPU on an individual server = NOWHERE near enough for big data

– Moore’s Law – The power of a processor doubles every two years – Data volumes – Double every year!!

• Every CPU core in • Every server needs to efficiently involved in • Every query

Every

– Data is split across all the CPU cores – All database operations need to be parallelised with no points of

serialisation – This is true MPP

• Combine the RAM of many individual servers • many CPU cores spread across • many CPUs, housed in • many individual computers

Many

• The only way to keep up is to parallelise or scale-out

How much RAM?

• Kognitio harnesses the RAM and CPU from large arrays of servers – It’s not about how much RAM you can squeeze into a single

64bit server

• Its standard server RAM – Commodity price market – very affordable – capacities continually improving

• We’re talking about Terabytes, tens of Terabytes and above of RAM

Kognitio Analytical Platform Architecture

Beyond SQL • SQL is pervasive data management language

– Not suited to all types of processing • Kognitio supports

– UDFs – Plugins - functional extensions to SQL – External scripts and binaries

• In-line within SQL utilize Perl, Java, R, SAS etc. • Full control of degree of parallelism

– “External tables” • Fetch data from other sources • Integration with Hadoop to bring data into memory

– Syntax to define data locality and map reduce access – Parallel load API for ‘reduce’ to feed data to RAM fast

• Integration with HTTP – fetch data from cloud storage e.g. Amazon S3

Kognitio Cloud

• We want to make in-memory accessible to all

• Our technology easily deploys onto Cloud architectures such as Amazon Web Services

• We have architected our Cloud to be as accessible as possible

Kognitio Analytical Platform

• Free software licence on Amazon Marketplace

• As a demo with data pre-loaded

• Load your own data

• One-click to launch

One-click deployment up to 68GB RAM

Multi-node available via CloudFormation

• Kognitio configured as a multi-node deployment

• Available as a trial platform on-demand

• kognitio.kognitiocloud.com

• Few steps to deployment

Register …

Verify …

Create the stack …

Your system will spin up

16 nodes all running

That is enough RAM for …

10,055,512,068 EPOS rows

That is enough RAM for … RAM GB |Used GB |Free GB |Avail GB |% Used 812.5 |339.4 |473.1 |473.0 | 41.8%

Which we scan in …

1.6 seconds

10 billion in 1.6 seconds

Find out your week to week performance

4.2 seconds

4.2 seconds

People that like salted peanuts also like …

just over a minute …

Just over a minute

But 16 nodes is a lot of nodes … • Amazon have announced an new high memory instance

type perfect for in-memory databases

• 240GB RAM per node

• 2 x Intel Xeon E5-2670 - total of 16 cores

• 2 x 120 GB SSD

• Utilises 10 GbE networking that is at the heart of their Cluster Compute environment.

So the same power …

• But with 4 nodes

• With the same simple deployment

• These new scale points make big data in-memory analytics in the cloud even more ready to use

Deploy with other technologies on AWS

• Automatic deployment of Kognitio and BI tool on an AWS platform

• For self-service BI - see what we have done with NeutrinoBI

nbi.kognitiocloud.com

Kognitio & NeutrinoBI demo architecture

Web app & services tier Registrations

Client

Root Volume

Data Volume

Application tier

Root Volume

Data Volume

Analytical platform tier

Security Group

Kognitio DB

Kognitio NeutrinoBI

Get started now – it’s FREE! kognitio.com/free

Or for more information: kognitio.com/cloud

Thank You – get in touch !

connect

kognitio.com

kognitio.tel

kognitio.com/blog

twitter.com/kognitio

linkedin.com/companies/kognitio

tinyurl.com/kognitio

youtube.com/kognitio

contact

Michael Hiskey Vice President, Marketing & Business Development michael.hiskey@kognitio.com

Ian Bird VP, Kognitio Cloud Ian.bird@kognitio.com

NA: +1 855 KOGNITIO EMEA: +44 1344 300 770