Your database engine shouldn't dictate the quality of support you receive, should it? We help teams running PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB with administration, troubleshooting, reporting, and optimisation through a DBeaver-first workflow.
That means one clean interface, fewer handoffs, and faster answers when production gets noisy. We treat each platform with equal discipline.
DBeaver lens
Unified control.
One workspace can surface the differences between engines without forcing your team to relearn the basics every time. Why bounce between five tools when one view can do the heavy lifting?
PostgreSQL
Replication, query tuning, and stability work.
MySQL
Index strategy, schema review, and support.
SQL Server
Reporting, maintenance, and workload care.
Oracle
AWR analysis and performance recovery.
MongoDB
Aggregation help and analytics workflows.
Each database behaves differently, so why would support look generic? Our team builds engine-specific playbooks for the work that actually keeps systems healthy: patching, reporting, incident recovery, and precision tuning.
We help with replica checks, vacuum strategy, locking issues, and slow queries that creep into the business day. Want a cleaner migration path or a safer maintenance routine? That starts here.
We tighten indexes, analyse query plans, and help with data extraction that won't stall your application layer. If your e-commerce stack has started to drag, can you afford to wait?
SSRS tuning, stored procedure review, and report delivery checks.
AWR snapshots, plan drift review, and recovery from expensive waits.
Aggregation pipelines, collection hygiene, and reporting support.
Separate tools create separate habits. Separate habits create slow handovers. DBeaver gives your team a consistent interface across engines, so cross-database queries, schema inspection, and admin tasks feel familiar instead of fragmented.
Less re-training
One interface across PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB.
Cleaner coordination
Fewer context switches when you need answers across systems.
Separate tools
One DBeaver workspace
Can support be both specialised and consistent? These snapshots suggest it can. Every story reflects a different engine, a different operational pain point, and the same disciplined delivery.
Healthcare / SQL Server
“Our reporting queue stopped fighting back. The SSRS queries were trimmed, scheduled jobs stabilised, and the team finally had predictable mornings.”
Logistics / PostgreSQL
“Why did we choose Zenith Base? Because they found the replica lag before it touched dispatch, then explained the fix in language our analysts actually used.”
E-commerce / MySQL
“Checkout lag dropped, and the index advice was practical. No jargon parade. Just clear fixes that held under pressure.”
Legal / MongoDB
“We needed analytics on case data without bending the collections out of shape. Their guidance made the reporting layer usable again.”
Where do most database engagements drift? Usually between diagnosis and implementation. We keep the process tight, document every change, and leave you with a plan you can actually use next week.
We inspect logs, slow queries, and operational pain points to find the real bottleneck.
Then we apply platform-aware fixes, from Oracle AWR analysis to MongoDB aggregation cleanup.
You get a written trail of what changed, why it changed, and how to keep it steady.
Choose the database you're running, and we'll tailor the conversation around the right workflows, metrics, and support rhythm. Block hours, monthly retainers, or incident-based help — which fits your team best?
Prefer to talk now?
Call +1 305 205 6294 or email info@zenithbase.com.