Couchbase: every question a buyer asks

When an operational workload has genuinely outgrown its current platform: latency degrading under concurrency, scale-up hardware exhausted, caching layers multiplying, or a mobile and offline requirement the current system cannot serve. If none of those is true, the honest advice is usually to stay and tune, and a scoping conversation with Interkey will say so.

When the workload is analytical rather than operational, when the core business logic is genuinely relational and transactional, when the current platform is simply not in trouble, or when nobody will own a distributed system in production. The workload table on the Couchbase overview page is the framework; Interkey applies it before scoping, because a migration that should not happen is the most expensive kind.

By reading how the application actually touches data: access patterns, read/write mix, consistency and transaction requirements, data volumes and growth, and the operational cost of the current platform. The output is a written recommendation that includes the do-nothing option, an impact list for the application team, and a migration sequence if the move is justified.

Yes, and relational-to-document is the migration where modelling matters most: translating a normalised schema table-by-table into documents produces something worse than what it replaced. The modelling follows the application’s real access patterns, queries are redesigned rather than transliterated, and the migration dual-runs against the live system. The same discipline applies to moves from MongoDB, Cassandra or Redis, where the modelling gap is smaller but the operational cutover is just as unforgiving.

Data access code moves to Couchbase SDKs, queries are rewritten for the document model (SQL++ is close to SQL, which helps, but “close” is not “identical”), and transaction logic is re-examined against distributed semantics. The modelling phase produces a per-service impact list, which is what turns “some changes” into a budget.

It depends on data volume, the modelling distance between the old schema and the new one, and how many services touch the data, so a duration quoted before the assessment is a guess dressed up. The sequencing is the honest commitment: value arrives in phases, reads move before writes, and the legacy system stays in service until the evidence supports cutover.

Yes: self-managed Couchbase Server runs on-premise or on infrastructure inside the Kingdom, which is often the reason organisations here choose it over a managed service hosted elsewhere. As of August 2026 the managed Capella service publishes no Saudi region, its nearest regions are in the UAE and Bahrain, so strict in-Kingdom requirements point to self-managed, and Interkey does the deployment and ongoing operation.

By writing down what the business actually tolerates: how much downtime a failover may cause, whether the platform must survive a datacentre loss, and what data loss, if any, is acceptable in a disaster. Those answers size the cluster, the replica count and the cross-datacentre replication design. Testing the failover is part of the build, not an operational nicety: an unrehearsed disaster-recovery design is a document, not a capability.

Yes. Database administration, index and replication strategy, backup, monitoring and upgrade discipline are part of what Interkey does, on the Sunday-to-Thursday week from Riyadh, either operating the platform outright or backing your in-house DBAs: a distributed database needs operating, not just installing.