www.hazelcast.com

1. In-­‐Memory
NoSQL
Miko
Matsumura,
VP
of
Marke9ng
and
Developer
Rela9ons,
Hazelcast

3. Why
NoSQL-­‐Venkat
Said
It
Best!
• Impedance
Mismatch
or
“impotence”
mismatch?
• Using
OODB
• CAP
Theorem
and
eventual
consistency

4. Company
Snapshot
• Founded
in
2008
• Open
source
business
model
• Headquarters
in
Palo
Alto,
CA
• R&D
in
Istanbul,
Turkey
• $2.5M
Series
A
funding
led
by
Bain
Capital
(June
2013)
• Key
investors/advisors
include
Rod
Johnson,
founder
of
Spring
Source,
and
Ali
Kutay,
CEO
of
WebLogic
and
Golden
Gate
Soware

5. Open source, Apache v2 License
2MB Jar with no Dependency
In-Memory
Embeddable
Dynamic Clustering, Backup and Failover
Partitioned
Highly Available
Scalable
Hazelcast
is

6. In-Memory Data Grid
Distributed (Elastic) Cache
NoSQL Key-Value Store
Clustering, Scalability, Partitioning, Big Data
Cloud Computing
Keywords

7. Who
Uses
Hazelcast?

8. Projects
that
use
Hazelcast

10. GETTING
RID
OF
IMPEDENCE

11. All you need is Map
James Gosling
Creator of Java

12. Map
import java.util.Map; !
import java.util.HashMap;!
!
Map map = new HashMap();!
map.put(“1”, “value”); !
map.get(“1”);!

13. Thread
Safe
Map
import java.util.Map; !
import java.util.concurrent.*;!
!
Map map = new ConcurrentHashMap();!
map.put(“1”, “value”); !
map.get(“1”);!

14. Distributed
Map
import java.util.Map; !
import com.hazelcast.core.Hazelcast;!
!
HazelcastInstance h;!
h = Hazelcast.newHazelcastInstance();!
Map map = h.getMap(“mymap”);!
map.put(“1”, “value”); !
map.get(“1”);!

15. Map
Queue
Set
List
MultiMap
AtomicNumber
CountdownLatch
Lock
Semaphore
Topic
IdGeneretor
Hazelcast
Data
Structures

16. Database
Application
Hazelcast
We
scale
the
applica9on
9er

17. Big Data Sharing/Caching
Session Replication
Hibernate 2nd Level Cache
Producer - Consumer
Spring Cache
Parallel Processing
Pub/Sub Messaging
Use
Cases

18. All you need is JCache
Greg Luck
Creator of Ehcache
Co Spec Lead Jsr107 JCache

19. Hazelcast
leads
standardiza9on
• Hazelcast
CTO
Greg
Luck
is
the
newest
addi_on
to
the
management
team
• Greg
Co-­‐led
the
standardiza9on
effort
with
Oracle
which
makes
Hazelcast
one
of
the
standard-­‐bearers
• Greg
has
credibility
in
this
market
having
founded
Ehcache,
the
world’s
most
popular
Java
cache
• Jcache
will
be
released
Mon
March
17th
by
JCP
and
widely
implemented
by
IMDG
vendors
and
embedded
in
Java
EE
8
and
Spring
• The
caching
standard
will
expand
IMDG
market
and
adop9on
of
Hazelcast
19
JCache is the standard way for Java to talk to caches

20. From Local Cache
to
Distributed Cache
From
Local
to
Distributed
Caching

21. Req
Local
Caching

22. Req
V =
read(K)
Local
Caching

23. Req
K: V
Local
Caching

24. Req
K: V
Local
Caching

25. V =
read(K)
Req
Local
Caching
K: V

26. K: V
Req
K: V
Local
Caching

27. Local
Caching
K: V
K: V

28. Req
Local
Caching
K: V
K: V

29. Req
V =
read(K)
Local
Caching
K: V
K: V

30. Req
Local
Caching
K: V
K: V
K: V

31. Req
Adding a new Node increases load on Backend!
Local
Caching
K: V
K: V
K: V

32. Req
Hazelcast Cluster 2X capacity
Distributed
Caching

33. Req
V =
read(K)
Hazelcast Cluster 2X capacity
Distributed
Caching

34. Use Case - Distributed Caching
Req
K: V
Hazelcast Cluster 2X capacity

35. K: V
Req
Hazelcast Cluster 2X capacity
Distributed
Caching

36. K: V
Req
Hazelcast Cluster 3X capacity
Distributed
Caching

37. Features
• Java
Concurrency
API
– Lock,
Semaphore,
CountdownLatch,
ExecutorService
• Java
Collec_on
API:
– Map,
Queue,
Set,
List
• Mul_Map
• Topics
(PubSub)
• EntryProcessor
• Predicate
API
(Secondary
Indexes)
• SQL
Query
• Off-­‐Heap
Support
*
• Na_ve
Client:
C#*,
C++*,
Java,
REST,
Memcache
• Dynamic
Discovery,
Redundancy
and
Recovery

38. Features…
• WAN
Replica_on
• Backup
Groups
• Indexing
Key,
values
and
value
proper_es
• Distributed
SQL-­‐like
Query
and
Predicate
API
• Write
Behind
/
Write
Through
Persistence
• 2PC
Transac_ons
(v3)
• EntryListeners
• EntryProcessors
(v3)
• Automa_c
Evic_on
• Data
Affinity
• HTTP
Session
Clustering
• Spring
&
Hibernate
2nd
Level
Cache
• Control
Par__oning
(v
3)
• EC2
Auto
Discovery

39. Features…
• SPI
(v3)
• Con_nuous
Query
(v3)
• Custom
Pluggable
Serializa_on
• Portable
Serializa_on
(v3)
• Par_al
Deserializa_on
(v3)
• Binary
and/or
Object
Storage
(v3)
• Dynamic
Indexing
(v3)
• 2PC
Transac_ons
(v3)
• Server
Side
Before
and
Aer
Interceptors
(v3)
• JAAS
Authen_ca_on
and
Authoriza_on
(v3)
*
• Socket
Encryp_on

40. Management
Center
*

41. Roadmap
2014
Scale
Up
• Second
Genera_on
off-­‐heap
– 200GB+
versus
20GB
in
3.1
– Exposed
via
API
– In
addi_on
to
map:
• Queue
• Set

42. Roadmap
2014
Opera_onal
Store
• Persistence
– Faster
restart
and
data
load
– Opera_onal
storage
rather
than
DB

43. Roadmap
2014
Distributed
Compute
• Map/Reduce
• Scheduled
Executor
Service

44. Roadmap
2014
Cache
• JCache
– New
standard
December
2013
– Being
implemented
by
most
vendors
(Hazelcast,
Coherence,
Infinispan,
Gemfire,
Terracona)
– February
2014
– javax.cache
– To
be
included
in
Java
EE
8,
Spring

45. Hazelcast
V3