Polyglot Persistence and Database Deployment discusses using multiple database types (polyglot persistence) to address modern data challenges. It introduces key-value, document, columnar, and graph databases. Using polyglot persistence allows using the best database for each use case, improving scalability, flexibility, and experience. Some benefits are getting strict integrity from relational databases with NoSQL scalability. Service wrapping and enhancing functionality with additional databases are also discussed. Factors to consider include identifying the right database, interfacing applications, mapping results, queries across databases, backups, and configuration changes. Polyglot persistence needs to be designed for each enterprise's unique data architecture.

2. Polyglot Persistence and
Database Deployment
Brief introduction to Emerging world of Polyglot
Persistence using open source database ecosystem.
Sandeep Khuperkar
CTO and Director

3. Till recent past...
Only considerations were –
• Consistency
• Integration
• Expressiveness
• Stability
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4. Disparate Data Storage Needs
Today we are additionally facing –
• Volume, variety and Velocity of data
• Rapid expansion of data-driven business
• Application landscape is changing with distributed system like social
media, IoT, microservices
• Impedance mismatch : A lot of effort is spent on mapping data
between in-memory data structures and a relational database.
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5. …capitalize open source
database ecosystem
Key-value store - stores data as a collection
of key/value pairs.
Document store - store each record and its
associated data within a single document.
Columnar store - stores data using a column
oriented model.
Graph store - is a type of database that uses
graph theory to store, map and query
relationships.
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6. Polyglot Persistence
Key Advantages
• You get best of both worlds – strict
enforcement of data integrity from
RDBMS, and the scalability and flexibility
provided by NoSQL
• Allows you to use best tool depending on
your use case.
• Helps your App to scale well.
• Rich Experience .
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7. Service Wrapping –
Possibility to look at
This possibility if feasible in your setup may allow
databases inside the services to evolve without
you having to change the dependent applications.
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8. Enhancing the
Functionality
Adding functionality to existing legacy applications
and data storage.
Ex – adding indexing engine to enhance search
capability.
Care should be taken that in this case we need to
update the indexed data as the application data
changes.
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9. Polyglot Persistence with EDB Postgres
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10. Key Factors
Few factors to be consider when deploying Polyglot Persistence –
• Identifying the right database
• At application level need to know –
• How to interface with each databases
• How to map results back to application’s object model.
• Handling queries across databases.
• How will you plan the backup policy
• Manage and control changes to the config. of each databases.
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11. Polyglot Persistence is not something which
can be used as an out of the box product,
but instead needs to be designed for each
individual enterprise for its unique Data
Architecture.
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