This document discusses using Apache Ignite to enable in-memory SQL on Apache Cassandra. It provides an overview of GridGain's enterprise and open source strategies, with Ignite being based on the open source version. It then discusses EPAM's engineering capabilities. The remainder discusses Ignite's capabilities for scalable SQL queries with ACID transactions on Cassandra and provides a demo comparing performance of OLTP and OLAP queries between Cassandra and Ignite. Contact information and URLs for more information on Ignite and using it with Cassandra are also provided.

1. © 2015 GridGain Systems, Inc. GridGain Company Confidential
IN-MEMORY SQL ON APACHE CASSANDRA
WITH APACHE IGNITE
Rachel Pedreschi
Lead Solutions Architect- GridGrain Systems
@rachelpedreschi
Igor Rudyak
Senior Solutions Architect- EPAM

2. © 2015 GridGain Systems, Inc. GridGain Company Confidential
GridGain Enterprise and Open Source Strategy
• GridGain Enterprise is based on Apache Ignite
• Open source is intended to provide an easy entry point for
learning, testing and non-critical use
• Enterprise customers benefit from many exclusive
enterprise-class features along with support and
indemnification

3. CONFIDENTIAL 3
EPAM
ENGINEERING DNA
CONSTANT GROWTH
4
Continents
25
Countries
18,000+
Engineers, designers
and consultants
SERVICES
Software Engineering & Product/
Platform Development
QA and Test Automation
Managed Services
Infrastructure & Licensing
Financial Services Travel & Consumer Software & Hi-tech
Media &
Entertainment
Life sciences &
Healthcare
INDUSTRY FOCUS
26% 22%
15%
20%
10%
Emerging
7%
Q2 2016
REVENUE
$283.8M
2016 REVENUE
GUIDANCE
$1.15B
Our top clients include:

4. © 2016 GridGain Systems, Inc.

5. © 2015 GridGain Systems, Inc. GridGain Company Confidential
Slow Reads?

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Got OLAP Query?
Cassandra

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Better Together!

8. © 2016 GridGain Systems, Inc.
Disk First Architecture
Disk as primary storage, memory for caching
• Access chain: API call <> demarshalling
<> OS I/O <> I/O controller <> disk
• Latency: milliseconds
Memory First Architecture
Memory as primary storage, disk as backup
• Access chain: API call <> pointer arithmetic
• Latency: nanoseconds to microseconds
“In-memory will have an industry impact comparable to web and cloud.”
“RAM is the new disk, and disk is the new tape.”

9. © 2016 GridGain Systems, Inc.
Apache Ignite Project
• 2007: First version of
GridGain
• Oct. 2014: GridGain
contributes Ignite to ASF
• Aug. 2015: Ignite is the
second fastest project to
graduate after Spark
• Today:
• 60+ contributors and rapidly growing
• Huge development momentum - Estimated 192 years of effort since the
first commit in February, 2014 [Openhub]
• Mature codebase: 1M+ lines of code

10. © 2016 GridGain Systems, Inc.
Scalable
SQL 99 / ACID /
MapReduce
In-Memory
No Rip & Replace
Always Available
Application

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Demo Environment
10 nodes of Cassandra 3.x
3 nodes of Ignite 1.8
3 nodes of test data generation
6500 orders / sec
CPUs: 4 x 2.27 GHz
Memory (RAM): 14.69 GB
Cache being populated by test harness;
write through to C*
1: Compare OLTP query between C*
and Ignite with no load
select * from orders where id = 123456789
2: OLAP Queries Ignite / C* under load
select p.id as product_id, sum(o.amount) as amount,
sum(o.price) as price
from "product".Product as p, "order".ProductOrder as o
where p.id = o.productId
group by p.id
order by sum(o.amount) desc
limit 10
select h.productid, sum(o.amount - h.amount) as amount,
sum(o.price - h.price) as price
from "order_history".ProductOrder h, "order".ProductOrder o
where h.productid = o.productid
group by h.productid
order by 3 desc
limit 10

12. © 2015 GridGain Systems, Inc. GridGain Company Confidential
https://ignite.apache.org/
https://github.com/apache/ignite
http://apacheignite.gridgain.org/docs/ignite-with-apache-cassandra
https://issues.apache.org/jira/browse/IGNITE-1371
More info

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