Database Migration and Application Conversion for Telecom
Modernize the CRM, analytics, and loyalty platforms behind your subscriber base without losing customer history, network usage data, or the business rules built into them. Explore Ispirer’s products and services supporting application conversion and database migration for Telecom.
Many companies trust our tools and services, rating them highly.
If You've Already Tried Database Migration or Application Conversion…
Telecom operators rarely modernize one platform in isolation. CRM, data warehouse, and loyalty systems each hold years of accumulated subscriber history, and a project that skips proper planning tends to surface the same set of problems on the other side of the migration.
Here's what typically goes wrong
That's Where Our Migration and Conversion Solutions Come in
The Ispirer Ecosystem covers the full migration path for the CRM, data warehouse, loyalty, and customer support platforms telecom operators use to manage subscribers and network usage data: moving the underlying database, transferring the data itself, and converting the application logic running on top of it.
- Database Migration Tool →
SQLWays
Database migration
SQLWays automates schema migration for the databases behind these platforms, converting tables, stored procedures, functions, and other database objects.
- Apps Conversion Tool →
CodeWays
Application conversion
CodeWays takes on the legacy application code itself, translating it from older languages such as COBOL, Delphi, or Informix 4GL into modern ones like Java or C# without a full manual rewrite.
- Ispirer Data Migrator →
IDM
Data migration
Ispirer Data Migrator is built specifically for Oracle to PostgreSQL migrations. It transfers subscriber records, transaction history, and loyalty data between the two platforms at high speed and with near-zero downtime, since these systems run daily subscriber operations that can't sit idle.
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ServiceWays
Expert services
If you prefer additional support, you can take advantage of our database migration services or application modernization services can take the project end to end. That includes planning, transition, testing, and final validation.
How Our Tools Simplify Database Migration and Application Conversion
Prior migration experience isn't required. The right tools automate most of the manual work and catch risks before they turn into production issues.
More than 2K users use this way to
successfully convert their database
Assessment
- Obtaining access
- Project discussion
- Making migration plan
- Creating SOW
SQLWays
Database schema
Data migration testing
Data integrity testing
CodeWays
Embedded SQL
SQL scripts
APP source code
Database API
Manual review & corrections
- Manual corrections
- Internal testing
Functional testing
- Creating snapshots with data
- Testing APP and DB on snapshots
- Fixing all logical issues
Performance testing
- Performance testing
- Converted code review
- Code refactoring
- Extra code optimization
Data migration
- Prod data migration
Cutover
- Switching DB and APP
- Providing user access
- System startup
Step 1. Free Assessment and Planning
InsightWays starts by analyzing the databases behind your CRM, data warehouse, loyalty, and customer support platforms, the ones holding your subscriber and network usage data. It returns a report covering project scope, estimated timeline, and where the risk actually sits.
Step 2. Automated migration and conversion
SQLWays converts database schemas and objects across source and target platforms. If the project involves moving off Oracle onto PostgreSQL, Ispirer Data Migrator handles the subscriber, transaction, and loyalty data transfer with minimal downtime. Where legacy application code needs to be modernized too, CodeWays converts it from its original language to modern technologies.
Step 3. Validation and testing
Once migration or conversion wraps up, results go through testing and data validation. The goal is simple: confirm subscriber records, reporting numbers, and loyalty balances match the source system, and that the new environment behaves correctly.
Start Your Telecom Migration Project Today
Plan your CRM, data warehouse, or loyalty platform migration with our experts. Keep subscriber and reward data intact, meet industry compliance standards, and get the new platform working the way you expect from the start.
Why Choose Ispirer for Telecom Migration and Modernization
Telecom system migration requires strong expertise in data security, regulatory compliance, and system stability.
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Secure Data Transfer
The data transfer channel is protected throughout the migration. Data moves directly between source and target systems without third-party services, reducing the risk of unauthorized access to subscriber and loyalty data.
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Business Continuity
Telecom operations cannot stop. Migration strategies minimize downtime and allow CRM, data warehouse, and loyalty systems to keep running during the transition.
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Data Quality
Data validation and integrity checks ensure subscriber, reporting, and loyalty data remain accurate and consistent after migration.
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Speed and Automation
SQLWays performs database schema conversion, Ispirer Data Migrator transfers up to 250 GB of data per hour on Oracle to PostgreSQL projects, and CodeWays automates application conversion from legacy technologies to modern platforms.
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Deep Technology Expertise
Ispirer has experience with both legacy and modern technologies, supporting reliable migration and modernization of CRM, data warehouse, and loyalty systems.
The world’s most innovative companies are building their next big thing with Ispirer
Magnit, CardinalHealth, Worldline and more have adopted SQLWays to boost their innovation life-cycle accelerate and manage their end-to-end innovation lifecycle
All testimonialsFrequently Asked Questions
Here are the technical answers regarding our database migration and application conversion for telecom.
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Request a consultation with our expert
How long does a telecom the migration project take?
It depends on data volume, how many systems are connected to each other, and how much of the legacy code converts automatically. InsightWays scans the outdated assets first and produces a report — an assessment that determines project complexity and gives an implementation timeline and cost estimate before anyone commits to a date. Comparable Ispirer projects have run from five to fifteen months, with parallel data loading cutting transfer time by 50–60%.
How is subscriber data handled when it arrives from several systems in different formats?
Schema and data types convert automatically. Anything that doesn't map one-to-one goes through custom mapping and transformation rules configured for the project, and duplicate or outdated records are resolved during the transformation phase, when automated scripts identify data quality issues. How a subscriber is represented in the target model is a design decision made during assessment, not something the tool infers.
What happens to business rules that exist only in legacy code — tariff logic, tier thresholds, ticket routing?
They convert from the source code. Migration is performed using the source code itself, so detailed documentation isn't a prerequisite for starting. SQLWays handles tables and data, stored procedures, functions, packages, views, and triggers; CodeWays covers application source code, SQL scripts and business logic, database APIs and Embedded SQL. If the rules belong in the application layer rather than the database, moving business logic out of the database is a separate migration path.
What prevents data loss during a large-scale migration?
The source database is connected read-only, with no source modification required, and no intermediate software sits between source and target. Automated fault tolerance means an interrupted migration resumes from where it stopped instead of restarting. Transfers run in phases with replication lag monitored until it's small enough to switch over.
How is data integrity verified after migration?
Automated validation performs row-by-row comparison between source and target, followed by functional testing before cutover. Consistency in the target is a guaranteed property of the transfer, not a post-hoc cleanup step.
How does automated mapping deal with naming and type differences between systems?
Schema conversion and data type mapping are automated across more than 150 migration directions. Where two systems name or structure the same attribute differently, the mapping is defined once in project rules and applied consistently. For complex or uncommon migrations the tool is customized to the source system, which is what raises automation on non-standard schemas.





