Migrate DB2 LUW to MongoDB

Successful migration from relational to NoSQL databases is a function of a proper migration strategy and a team of true professionals. Ispirer’s comprehensive migration services and 20+ years of experience in database modernization help us ensure that your future database will be fast, secure, and cost-efficient.

As businesses grow and expand, managing their increasing amounts of data can become a daunting task. Traditional relational databases like DB2 Luw may struggle to keep up with the growing demands of user loads and data volume from a variety of sources. Slow query response times, decreased performance, and rising costs can become major headaches for organizations. This is where migrating to a more scalable and flexible database like MongoDB can prove invaluable. With its ability to handle huge amounts of unstructured data and its flexible schema design, MongoDB can help organizations achieve faster application development, easier data integration, and more efficient data analysis.

At Ispirer, we understand the importance of a smooth transition to MongoDB. Our comprehensive migration services offer expert guidance from experienced professionals. We begin by analyzing your existing database structure and developing a detailed migration plan. Throughout the migration process, our team provides hands-on assistance and uses proven methodologies and best practices to ensure that your data is migrated accurately and efficiently. Our services are available for businesses of all sizes, whether you're a small startup or a large enterprise. We'll work with you every step of the way to ensure that your data is migrated seamlessly, minimizing downtime and preserving data integrity.

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Migration Services with Ispirer

Taking into account the fundamental differences between relational and NoSQL databases, the migration process may take an impressive period of time. For this reason we apply our proprietary automated solutions if possible to shorten the migration path to MongoDB. Such an approach helps to minimize the cost of a project and significantly reduce time required for modernization of relational databases.

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From requirements elicitation to monitoring of the database performance. The Ispirer team will ensure success on your journey to MongoDB!

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Key Differences between RDBMS & MongoDB

Data modelStructured with tables, columns, and rowsFlexible document-based data model allows for easy integration of unstructured data
ScalabilityLimited to vertical scalingHorizontal scaling across multiple servers allows for high scalability
StructureTable-based with predefined rigid schemaDocument-based with more flexibility
SpeedData is stored in different tables,
so running queries requires integrating data and setting restrictions, which slows down query time
One record stores all the query data which speeds up finding matched records

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Transition to MongoDB

The process of transition to MongoDB includes the following steps:

  • Database assessment and requirements elicitation
  • MongoDB schema design. Correlation of the relational data model with MongoDB collections, documents, and fields.
  • Data migration planning and data modification. Convert the SQL data into a format that can be imported into MongoDB.
  • Code migration and application modification. This step includes the migration of SQL code from the source database. App modification includes converting the connection to the database, accessing it, converting the Embedded SQL in the application, as well as the rest of the queries.
  • Data migration testing. Export of the data from the existing relational database to MongoDB and its import that will create the collections and documents according to the MongoDB schema design.
  • Performance testing. Verification of the data migration and test of the queries to ensure they return the expected results.
  • Data migration
  • Switch to MongoDB
  • Performance monitoring. Performance monitoring of the MongoDB database using MongoDB's performance metrics and logging. Optimization of the schema and queries as needed.

Migrate Logic From Database to Application

Ispirer has a solution to unlock the full potential of your database. Storing business logic in your database can sometimes impede performance, but Ispirer Toolkit can help you migrate this logic to an application layer seamlessly.

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  • Automated conversion of SQL objects to application code. Ispirer Toolkit supports Oracle, SQL Server, Sybase, PostgreSQL, Java, C#, Python, etc.
  • In case of changing the RDBMS, Embedded SQL will be automatically rewritten to adhere to the syntax of the new database.
  • Migration with\without connection to databases. Ispirer Toolkit can work with or without a database connection. Both options allow you to successfully migrate business logic from the database to the application layer. However, it is worth considering that connecting to the database allows Ispirer Toolkit to take into account additional data from the database and helps improve conversion.

Get the Most out of Your Database with MongoDB

The first step is a consultation. Let’s discuss your requirements!

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Migration Outcomes

Benefits from migration and advantages of MongoDB:

  • Flexible schema design. Unlike RDBMS which requires a predefined schema, MongoDB allows for a flexible schema design that can easily accommodate changes in data structure over time. This allows faster application development and a more agile approach to data modeling.
  • Scalability. MongoDB is designed to handle large volumes of data and can easily scale horizontally by adding more nodes to a cluster. This makes it easier to handle increasing data volumes and user loads.
  • Performance. MongoDB's document-based data model makes it possible to access and retrieve data faster compared to RDBMS. It also has advanced indexing and query optimization features that can significantly improve query performance.
  • Support for unstructured data. MongoDB can handle unstructured data such as JSON, XML, and binary data, which may be difficult to handle in RDBMS.
  • Lower cost. MongoDB's open-source license and free community edition make it a more cost-effective option compared to RDBMS which often requires costly licensing and support fees.
  • Easy to use. MongoDB's query language is very similar to SQL, making it easy for developers to learn and use. It also has a rich set of APIs and drivers for various programming languages.

Cost Factors

The overall cost of a migration project depends on the following major cost factors:

  • Data volume and complexity
  • Code volume and complexity
  • Database availability, performance, security, and scalability requirements.

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Benefits You Get


Unrivaled data security

We go above and beyond standard security requirements to protect your sensitive information. Our comprehensive security protocols are designed to safeguard against threats of all kinds, giving you peace of mind and assurance that your data is secure.


Automated solutions

By incorporating automation into the migration process, the transition to MongoDB can be completed with ease and speed. By leveraging our team's expertise, combined with the power of automation, we can ensure that your transition to MongoDB is seamless and fast.

Effortless maintenance

A transparent partnership

We believe in total transparency throughout the entire migration process. You'll have access to real-time progress updates, allowing you to make informed decisions and adjustments on the go.

Our Experts

Seasoned experts who can deliver top-notch code refactoring services and bring your software to the next level

Evgeniya C.

Eugenie C.

Senior software engineer with 7-year-long record in application development, migration and modernization. Skilled in Java and SQL

Victor B.

Victor B.

Senior software developer with 5-year expertise in full cycle software development, DevOps and legacy code modernization. Skilled in C/C++, C#, SQL, Qt, Windows Forms, WPF, ODBC, ADO.NET, Entity Framework, WCF, IIS, Bash, Cmake.

Alesya P.

Alessia P.

Java development expert with 7-year record and focus on solving non-trivial problems. Skilled in Spring Boot, Hibernate, Spring MVC, Java EE, Java SE, Swing, JDBC, SQL and C++

Alex M.

Alex M.

Senior database engineer with 5 years of experience in database development and modernization, as well as code quality analysis of a database. Skilled in development, migration and modernization of Oracle, PostgreSQL.

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