A polyglot solution uses multiple databases to perform operations and achieve results. It creates a hybrid data store combining an RDBMS and NoSQL tools for flexible and efficient data modeling. There are several approaches to implementing a polyglot solution, including using multiple "lanes" that separate data by domain into different databases, a polyglot mapper that handles multiple databases in parallel through mapping, a nested database where a primary database maps to a secondary one, or an omnipotent database that uses multiple relational and non-relational storage engines in parallel. The advantages of a polyglot solution include leveraging different databases' strengths and providing scalable, high performance query capabilities, while the disadvantages include increased complexity and imped

1. SQL Server
Big Data and Polyglot Solutions
Polyglot solution in Big Data:
‘Polyglot’ means a software application that uses multiple resources to perform
desired operation and achieve results.
• It refers to creating hybrid data store that combines functionalities
of RDBMS and NoSQL data tools to achieve flexible and efficient
data model.
Web / Mobile or client application
Dynamo
DB
Cassandr
a
Calls for relational and
transactional data
Calls for unstructured
and scalable data
NoSQL Server Cluster

2. Implementing Polyglot solution
• Analyzing the requirement for business
continuity is the key.
• Selecting the apt database management
solution according to the need.
• Some of the approaches to implement
polyglot solution in an organization –
Multiple lanes, Polyglot mapper, Nested
Database, Omnipotent database.

3. Example – eCommerce Application
MongoDB
Redis
DynamoDB
Cassandra
MySQL
HBaseNeo4j
Product Catalog
Shopping Cart
Social Profile Social graph Email and feed messages
Payment process
Audit and activity log

4. Polyglot solution -Multiple lanes:
Dispatches work flow into multiple separate
persistence lanes.
Advantages:
• Easy to Implement.
• Works for all databases.
Disadvantages:
• Data needs to be domain specific pre-
partitioned.
• Cross lane queries are hard to implement.
MySQL Mongo DB

5. Polyglot solution – Polyglot Mapper:
Particular component of the application
handles different multiple databases in
parallel by mapping.
Advantages:
• Single Object model.
• Cross Lane Queries possible.
Disadvantages:
• Just few mapper products that supports
NoSQL + RDBMS.
MySQL Mongo DB

6. Polyglot solution – Nested Database:
Primary database backend maps to
secondary database.
Advantages:
• Polyglot persistence is invisible.
• Cross database query is possible.
Disadvantages:
• Not many databases supports this model.
MySQL
Mongo DB

7. Polyglot solution – Omnipotent
database:
Databases uses backend multiple relational
and non-relational database storage engines
in parallel.
Advantages:
• Polyglot persistence is invisible.
• Backup & Restore is possible.
Disadvantages:
• Just few products support this model.
MySQL Mongo DB
FE
BE

8. Advantages of Polyglot solution
• Leverage the strengths of multiple data
stores.
• Synchronization engine integrates
multiple data storage for a single
individual application.
• Uses highly optimized data storage
formats.
• Provides great query performance.
• More Scalable data.
• Most of the NoSQL solutions are open
source.

9. Disadvantages of Polyglot solution
• Complexity of architecture and setting up
the system increases significantly.
• Impedance mismatch between databases
due to different data models, languages.
• Different backup, restoring and
maintenance approaches provides
greater challenges for implemented
systems.

10. Recommendations
• Select the data store based on requirements and
environment.
• Minimize the number of stores, it would
significantly bring down the maintenance and
implementation cost.