New: CentriCall AI voice agents that answer, qualify, and book around the clock
Centricone TechnologiesDatabase Management

Database management services for systems that stopped being fast

Centricone Technologies tunes, migrates, and looks after the databases your product depends on — query and index work, version and platform migrations, replication and failover, and a backup you have actually restored.

Every tuning engagement starts by measuring, not guessing. You get the query plans, the before-and-after numbers, and the reasoning — so the improvement survives the next release.

2582259344/94977

support coverage across US and Canada time zones

147111590027200%

of code reviewed, tested, and documented before release

The database is the bottleneck nobody owns

01

It gets slower every quarter

Data grew, queries didn't change, and indexes were added by whoever was on call. Nobody has looked at a query plan in a year.

02

The version is past its support date

An upgrade means downtime and risk, so it keeps getting deferred — and now the security patches have stopped arriving.

03

Backups exist, restores don't

The job runs green every night. No one has proved the data comes back, or how long it would take.

Centricone covers the full lifecycle: schema and query design, migrations and upgrades, replication and failover, and managed DBA support after it.

Fix

Tuning, schema work, and migrations that don't lose rows

Operate

Availability, recovery, and managed DBA support

Stack

Databases and tooling we work in

Relational

  • PostgreSQL
  • MySQL
  • SQL Server
  • Oracle
  • MariaDB

Non-relational and analytics

  • MongoDB
  • Redis
  • Elasticsearch
  • Snowflake
  • BigQuery
  • ClickHouse

Operations

  • Flyway
  • Liquibase
  • pgBouncer
  • Debezium
  • Datadog
  • Percona Toolkit

How a database engagement runs

1

Measure the real workload

Slow-query logs, wait statistics, plans, and growth — the evidence for what is actually slow, not what feels slow.

2

Fix what the evidence points at

Indexes, queries, pooling, and schema changes, each shipped with its before-and-after number.

3

Make failure survivable

Replication, failover, backup policy, and a restore rehearsed end to end against an agreed RTO.

4

Hand over or stay on

Runbooks and dashboards for your team, or a managed DBA agreement with a named engineer and an escalation path.

Why teams choose Centricone for database work

Tuning backed by query plans and measurements

Migrations with verified row counts and a rollback path

Restores rehearsed, not assumed

US and Canada time-zone overlap, with senior contacts

What teams get out of it

Headroom you can see

The slow paths measured, fixed, and re-measured — with capacity and growth on a dashboard so the next ceiling is visible before you hit it.

Faster reads and writes

Plans and indexes matched to the workload

Supported versions

Upgrades run without losing a weekend

Proven recovery

A restore time you have actually measured

Fewer 2am pages

Alerting on the conditions that precede failure

Frequently asked questions

Still weighing it up? Book a free consultation and we’ll scope it with you.

Usually a long way, yes. Most slowness we find comes from missing or wrong indexes, N+1 query patterns, connection exhaustion, and plans that changed as the data grew — all fixable without touching the application's architecture. We measure first and tell you honestly if the design is the real problem.
Yes — a managed agreement with monitoring, patching, capacity review, and a named engineer for escalations, sized to how critical the system is. It suits teams that need DBA depth but not a full-time hire.
Replication or change-data-capture to the new target, running both in parallel until row counts and checksums agree, then a short cutover window with a rehearsed rollback. Zero-downtime is achievable for many workloads; where it isn't, we tell you the window in advance.
PostgreSQL, MySQL and MariaDB, SQL Server, and Oracle on the relational side; MongoDB, Redis, and Elasticsearch alongside them; and Snowflake, BigQuery, or ClickHouse where the workload is analytical.
Yes. Retention windows, point-in-time recovery, encryption at rest and in transit, and access logging are set against the regime that applies to you, and documented so an auditor can follow them.