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Is your database holding you back?

An unbiased Database Modernization Assessment to reduce costs, eliminate tech debt, and make your data layer ready for what comes next. We help enterprises and SMBs navigate cloud-managed services, hybrid architectures and SQL-to-NoSQL transitions.

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Common scenarios we address

If any of these sound familiar, we can help:

  • Escalating database licensing and infrastructure costs
  • Need to consolidate data into single customer views
  • Evaluating SQL to NoSQL migration for scale
  • Technical debt from legacy systems blocking new features
  • Planning migration to cloud-managed services
  • Preparing your data backend for AI workloads

What you get

Current state analysis

Inventory of your databases, data flows and pain points, with a clear picture of where you are today.

TCO analysis

True cost comparison: licensing, infrastructure, operations, and the opportunity cost of staying where you are.

Migration options

Target platforms evaluated with pros, cons, risk factors and fit for your specific requirements.

Recommended path

A concrete roadmap with timeline, milestones, resource requirements and decision points.

AI-readiness review

How your data layer supports or blocks AI and ML initiatives, and what changes unlock value.

Deliverables you own

Everything written down and actionable, whether or not you engage us to do the work.

Why Adiom

  • Database-agnostic experts — we recommend what is right for you, not what we sell
  • Deep expertise in MongoDB, Cosmos DB, DynamoDB, PostgreSQL and SQL Server
  • Proven track record with migrations at scale using our own tooling
  • Clear deliverables you can act on with or without us

Reference case

  • Microsoft
  • MongoDB
  • Delbridge Solutions
“Adiom provided key capabilities that helped Zendesk accelerate the redistribution of accounts across our data centers with minimal downtime. Working with them felt like having them as part of the team, and it was clear they were invested in our success.”
Principal Software DeveloperZendesk

Zendesk — redistributing accounts across data centers

Zendesk needed to redistribute customer accounts across data centers without taking the service down. The accounts in scope were the large, highly active ones, so volume was a major constraint — and the point at which other tools failed. Each account still had to move cleanly, be verifiable afterwards, and be reversible if anything looked wrong mid-move.

We provided the replication and verification layer that made a per-account cutover safe to repeat: copy, catch up, verify, switch, with the ability to reverse direction. The work ran alongside Zendesk's own engineers rather than being handed to a delivery team that had never operated the system.

That pattern — make one cutover safe, then repeat it — is how most of our modernization engagements are structured, whatever the target platform turns out to be.

Engagement model

How an engagement runs

  1. 01

    Assessment

    • Two to three weeks, fixed fee
    • Produces the five deliverables above
    • Ends with a recommendation you can act on with or without us
  2. 02

    Pilot

    • One workload moved end to end, in production
    • Proves the path and calibrates the estimate for the rest
    • Your team operates it, with us alongside
  3. 03

    Delivery

    • The remaining workloads, sequenced by risk
    • Fixed-scope phases rather than an open-ended engagement
    • Hands-on or advisory, whichever suits your team
  4. 04

    Handover

    • Runbooks, tooling and the reasoning behind the decisions
    • Your engineers own it; Dsync is open source, so nothing is stranded
    • Support available afterwards, but not required

More on choosing a target

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