AI-assisstant powered migration

Pricing follows what you migrate rather than a per-seat subscription. Self-service licenses are sized by volume — number of objects, lines of code and data — and by how long you need them. Data-only migration starts at $45 for a month, SQL and data licenses start at $395, and annual options bring the monthly cost down. Volumes scale from roughly 100 to 600 tables and 50 to 600 GB. Current tiers and inclusions are on the pricing page.

Larger projects, typically from 201 objects upwards, move to a Full Support plan with production-level support and a custom quote. Customization of conversion rules is quoted case by case, since it depends on how unusual your code is.

Migration services are always quoted per project. The estimate reflects the migration direction, code volume, complexity and duration, so it follows an assessment rather than a price list. Request a quote today to receive a tailored evaluation based on your project parameters. Our assessment tools stay free, so scoping costs you nothing.

It comes down to who has time to run the project. With SQLWays and a developer on your side, the tool can convert 75–95% of SQL code on most directions, and a developer using it moves 3,000–5,000 lines a day where manual rewriting manages 300–400. Your team keeps full control, and we tune conversion rules when something specific to your schema shows up.

A managed project suits tight deadlines, an unfamiliar target platform or a team already busy with its own roadmap. Our engineers take the migration through all seven stages, from assessment and schema conversion to testing, performance tuning and cutover — that's ServiceWays.

Many customers land in between: tools for the bulk of the work, our experts for stored procedures, embedded SQL or performance. If you'd rather see evidence before deciding, we can convert a code sample as a proof of concept, and the case studies show how both models played out on real projects.

Start with the free assessment tools. InsightWays connects to your database in read-only mode and returns an inventory: objects by type, lines of code, the SQL constructs in use, and anything missing or broken.

That report is what turns guesswork into a plan: complexity scoring drives the timeline, the tooling choice and the budget. Procedural code, not data volume, usually sets the schedule, which is why the object inventory matters more than the size of your database.

From there you can go deeper with a database audit, which flags inefficiencies and risks before conversion begins, or ask for a proof of concept on a sample of your own code. Either way, you get a migration plan and a statement of work before the main project starts.

For application conversion, the approach is similar. You can start with our free Metrics tools to gather initial data. However, application code naturally requires a higher degree of expert analysis — without it, the margin of error in your estimate can be too high to rely on.

The toolkit runs inside your own environment on Windows, Linux or Unix, on-premises or in your cloud. It connects to the source through ODBC and loads the target with native utilities, and it works with read-only privileges on the source, so the original system stays untouched. Your data stays in your environment, and InsightWays runs without an internet connection at all. Details sit on the SQLWays page.

Data migration follows the same principle. Ispirer Data Migrator is a direct-connection tool with no middleware in between, and its change data capture works from a read-only connection without touching transaction or redo logs.

On the organizational side, we maintain an information security management system aligned with ISO 27001, and every project discussion starts with a signed NDA. Where AI features are involved, they can run on a local model, so code and schema stay within your infrastructure — which matters in regulated environments.

Conversion moves at 3,000–5,000 lines of code per developer per day with the toolkit, against 300–400 by hand. For data, SQLWays reaches up to 60 GB per hour, while Ispirer Data Migrator gets to 250 GB per hour on Oracle to PostgreSQL by combining foreign data wrappers with parallel multithreading. Stream counts are limited by your hardware rather than by the tool, so real figures depend on your architecture.

Protecting the data is a matter of sequencing. The schema goes first, then data loads in phases while change data capture keeps replicating inserts, updates and deletes until replication lag reaches zero. The cutover window shrinks to seconds, because the target is already current when you switch.

Validation runs at every checkpoint against the full dataset rather than a sample, and both systems can run in parallel until the target returns identical output on every query. On managed projects, functional, regression and performance testing are part of the migration process, and we keep the parallel run going longer than most teams expect.

Yes, and you can start on your own. A free license takes two weeks and no credit card. The database migration edition converts up to 20 objects, 1,500 measured lines of code and 2 GB of data on one machine; the application conversion edition covers 5 scripts and 1,000 lines. You can request up to two free licenses per database pair, which is enough to convert a representative slice of your own schema and judge the output. Grab one through Try for Free.

Through a parser and compiler-based engine rather than regex pattern matching. Source code — PL/SQL, T-SQL, COBOL, Delphi, PowerBuilder — is parsed into an abstract syntax tree (AST) that captures its structure, data flow and control flow. That's what makes semantic conversion possible instead of text substitution.

The tree is then mapped through thousands of configurable conversion rules. Procedural constructs, exception handling, variables and proprietary built-in functions each get a semantically equivalent target construct.

Generation comes last, emitting readable code for both the target SQL dialect and the application language.