guides3 min read
Migrate RDBMS to MongoDB
We’re excited to announce the newest addition to our connector family: the “SQL batch” connector.
Solution
A license renewal, an end-of-support date, or a data-center exit. The date is fixed and the system is load-bearing. This is the path that gets you off it on your terms — big bang or gradual — without betting the quarter on either.
The legacy system keeps serving while the target fills and stays in step. You verify against production traffic before anything depends on the new one — then cut over big bang, or gradually by service or by tenant in a multi-tenant estate.
Serving production
Filling, verified
One switch, on the date
By service, or by tenant
Reversible either way. Nothing depends on the target until you cross.
Tooling
Runs the parallel copy and keeps the target continuously in step with the legacy system, so you can cut over big bang or gradually and still back out.
Explore DsyncEstablishes what is actually there and which target stands up to the workload, before anyone commits to a date in public.
See the assessmentProof
“The Adiom components, particularly dsync, worked extremely well for us and gave us all the peace of mind to confidently proceed with the cutover.”
guides3 min read
We’re excited to announce the newest addition to our connector family: the “SQL batch” connector.
strategy5 min read
In this third part of our multi-post guide we will discuss migration planning and post-migration validation strategy.
strategy7 min read
In this fifth and the final post in our guide, we will cover a sample database migration project plan and will discuss the key lessons learned based on our extensive experiences with 10GB to 100TB+ migrations.We highly recommend reading the previous posts in the series:Part 1 - Migration Readiness…
The earlier in the window we look, the more options exist. Even if the answer is that you have more time than you think, that is worth knowing.
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