This document discusses how Informix can be used for both SQL and NoSQL applications. It notes that applications now need to support mobile, big data, and social/digital collaboration. NoSQL databases like MongoDB are growing in popularity due to their ability to handle these new requirements. The document then outlines how Informix provides drivers and tools that allow existing MongoDB applications and data models to run directly on Informix, and also allows SQL applications to access and query JSON document data stored in Informix. It discusses features like indexing, querying, scaling, and hybrid access to both relational and JSON data from a single database platform.

1. IBM Informix for
SQL & NoSQL
Keshav Murthy
rkeshav@us.ibm.com
Architect, IBM Informix

2. 2

3. 3

Applications must support mobile
− Interoperate with modern applications with agility
− Enterprise infrastructure

Ability to scale to big data
− Commodity hardware and software
− Use case are driving big data
− Data base layer meets web app requirements

Strategy: more interactions with customers
− Systems of engagement needed!
− 71% CIOs see move toward social/digital collaboration
− New class of applications are based on NoSQL
Global C-suite Study, http://www-935.ibm.com/services/us/en/c-suite/csuitestudy2013/
Explosion of mobile
devices
Business Trends Driving NoSQL
Adoption

4. 4
SQL NoSQL
Define Schema first Write the program first
Relational Key-value, Document, column
family, graph and text
Changing schema is hard Assumes dynamic schema
Scale-up Scale-out
ACID consistency BASE consistency
Transactions No Transactions
SQL Proprietary API; Sometimes has
the “spirit” of SQL

5. 5
Martin Fowler says:
“aggregate-oriented”
What you're most likely to
access as a unit.
Key Value Store

Couchbase

Riak

Citrusleaf

Redis

BerkeleyDB

Membrain

...
Document

MongoDB

CouchDB

RavenDB

Couchbase

... Graph

OrientDB

DEX

Neo4j

GraphBase

...
Column

HBase

Hypertable

Cassandra

...
NoSQL Landscape

6. Informix
NoSQL Applications on
Informix

New Listener supports MongoDB drivers

Use the same driver for Informix & MongoDB
MongoDB
native Client
MongoDB
native Client
MongoDB
web
browser
MongoDB
web
browser
MobileMobile
Applications
MongoDB
Wire
Protocol
InformixMongoDB
driver
MongoDB
driver
6
Informix

7. Application Development
Tools
The MEAN Stack

8. Basic Translation
Terms/Concepts
8
Mongo/NoSQL Terms Traditional SQL Terms
Database Database
Collection Table
Document Row
Field Column
Index Index
{"name":"John","age":21, state:”CA”}
{"name":"Tim","age":28, Provence: “BC”}
{"name":"Scott","age":30, country: “UK”, status:1}
Name Age
John 21
Tim 28
Scott 30
Collection
Document
Key
Value
Table
Row

9. Informix JSON Store Benefits

Row locking on the individual JSON document

Large documents, up to 2GB maximum size

Ability to compress documents

Ability to intelligently cache commonly used documents

Use existing storage options and management tools.
9

10. •Supports B-Tree indexes on any key-value pairs.
•Typed indices could be on simple basic type (int, decimal,)
•Type-less indices could be created on BSON and use BSON
type comparison
•Translate ensureIndex() to CREATE INDEX
•Translate dropIndex() to DROP INDEX
Indexing
10
Mongo Operation SQL Operation
db.customers.ensureIndex(
{orderDate:1, zip:-1})
CREATE INDEX IF NOT EXISTS v_customer_2 ON
customer (bson_extract(data,‘orderDate')
ASC, bson_extract(data,‘zip') DESC) USING
BSON
db.customers.ensureIndex(
{orderDate:1},{unique:true})
CREATE UNIQUE INDEX IF NOT EXISTS
v_customer_3 ON customer
(bson_extract(data,'c1') ASC USING BSON

11. scale out (sharding) + High
Availability
App Server
Mongo Driver
Listener
JDBC
Enterprise repliation + Flexible Grid
App Server
Mongo Driver
Listener
JDBC
App Server
Mongo Driver
Listener
JDBC
App Server
Mongo Driver
Listener
JDBC
Informix/1
Primary
Informix/1
SDS/HDR
Informix/1
RSS
Informix/2
Primary
Informix/2
SDS/HDR
Informix/2
RSS
Informix/3
Primary
Informix/3
SDS/HDR
Informix/3
RSS
Informix/4
Primary
Informix/4
SDS/HDR
Informix/4
RSS
Informix/5
Primary
Informix/5
SDS/HDR
Informix/5
RSS
Informix/6
Primary
Informix/6
SDS/HDR
Informix/6
RSS

12. 12
2
Explosion of mobile
devices – gaming
and social apps
Advertising:
serving ads and
real-time
bidding
Social networking,
online
communities
E-commerce, social
commerce
Machine data and
real-time
operational
decisions
Smart
Devices
NoSQL + Relational
Internet of
Things

13. Hybrid Data Access:
relational tables & JSON
Collections
Relational Table JSON Collections
SQL API Standard ODBC, JDBC,
.NET, OData, etc.
Language SQL.
MongoDB
API (NoSQL)
Mongo APIs for Java,
Javascript, C++, C#, etc.
Direct SQL Access.
Dynamic Views
Row types
Mongo APIs for Java,
Javascript, C++, C#, etc.

14. Hybrid Data Access
14
SQL Tables
JSON Collections
TimeSeries
MQ Series
SQL APIs
JDBC, ODBC
SQL APIs
JDBC, ODBC
Informix
IWA – BLU Acceleration
GenBSON: SQL to BSON
Text search
Spatial
MongoDB
Drivers
MongoDB
Drivers
Timeseries(JSON)

15. Mongo Application
IBM Wire Listener
IDXs
Logs
Enterprise replication + Flexible Grid + Sharding
Distributed
Queries
Database
Tables
Tables
IDXs
Relational TablesRelational Tables
JSON CollectionsJSON Collections
SELECT bson_get(bson, ‘{}’) FROM customer
WHERE bson_value_lvarchar(bson,‘state’)=“MO”
SELECT bson_get(bson, ‘{}’) FROM customer
WHERE bson_value_lvarchar(bson,‘state’)=“MO”
db.customer.find({state:”MO”})db.customer.find({state:”MO”}) db.partners.find({state:”CA”})db.partners.find({state:”CA”})
SELECT * FROM partners WHERE state=“CA”SELECT * FROM partners WHERE state=“CA”
CustomerCustomer
partnerspartners
JSON JSON
Access RelationalAccess JSON
MongoAPI Accessing NoSQL & Relational
Data

16. Tables
JDBC connections
IDXs
Logs
Enterprise replication + Flexible Grid
Distributed
Queries
Database
Tables
Tables
IDXs
Relational TablesRelational Tables
JSON CollectionsJSON Collections
SELECT bson.customer::JSON,bson.state::lvarchar
FROM customer WHERE bson.state::lvarchar = “MO”
SELECT bson.customer::JSON,bson.state::lvarchar
FROM customer WHERE bson.state::lvarchar = “MO”
Select * from patners where state = “CA”;Select * from patners where state = “CA”;
CustomerCustomer
partnerspartners
Access RelationalAccess JSON
SQL Applications
SQL Accessing NoSQL & Relational Data
SQL TypesSQL Types

17. Informix for NoSQL and SQL
Access consistent data from its source
Avoid ETL, continuous data sync and conflicts.
Exploit the power of SQL, MongoAPI seamlessly
Exploit the power of RDBMS technologies in MongoAPI:
− Cost based Optimizer & power of SQL
− Spatial indices, Lucene text indices, and more.
Access all your data thru any interface: MongoAPI & SQL
Store data in one place and efficiently transform and use
them on demand.
Existing SQL based tools and APIs can access new data in
JSON