MinervaDB’s database consulting services cover the full lifecycle of a production database estate: architecture and schema design, performance engineering, high availability and disaster recovery, migrations between engines and clouds, and 24×7 operations delivered as remote DBA or managed services. This page is the index to those services by engine. Each entry states what the practice does for that engine, where it is strongest, and links to the consulting, support and remote DBA pages that describe scope, SLAs and engagement models in detail.
Two principles apply to every engine listed here. We are vendor-neutral: MinervaDB holds no reseller agreements and earns nothing from licences, so the recommendation is the one the workload needs, including advice not to use an engine when it is the wrong fit. And every recommendation is anchored in measurement, from the catalog and system views of the engine itself, not in opinion.
How the database consulting services are structured
For each engine the practice offers three engagement shapes, and the pages linked below are organised the same way. Consulting is project-scoped: an architecture review, a performance audit, a migration plan, a capacity model, delivered as a versioned document with findings, evidence and a prioritised remediation plan. 24×7 support is a subscription: a named engineering team on call with S1 response in 15 minutes, S2 in 12 hours, S3 in 24 hours and S4 in 48 hours, covering break-fix, escalations and advisory questions.
Remote DBA and managed services take operational ownership: monitoring, patching, backups and restore drills, replication and failover, upgrades, and a monthly health report against agreed SLOs.
Most enterprises combine two of the three. A typical pattern is a consulting engagement to fix the architecture, followed by a support or remote DBA subscription to keep it fixed. The remote DBA subscription plans page sets out the tiers and what each includes.
PostgreSQL
PostgreSQL is the engine where MinervaDB’s database consulting services run deepest, covering OLTP and HTAP estates from a single primary with streaming replicas to Citus-sharded and Patroni-managed clusters. The work that recurs most is autovacuum and bloat control, transaction ID wraparound prevention, planner and index tuning from pg_stat_statements and EXPLAIN (ANALYZE, BUFFERS), connection pooling with PgBouncer, logical replication for zero-downtime major upgrades, and extension estates built on PostGIS, pgvector and TimescaleDB. Version-sensitive guidance is pinned to the release in production, from PostgreSQL 13 through 18.
Start with PostgreSQL consulting services for architecture, performance and migration projects, PostgreSQL support for 24×7 cover on an existing estate, and PostgreSQL remote DBA for full operational ownership. A fixed-scope PostgreSQL health check is the usual first engagement for a team that wants an evidence-based picture before committing further.
MySQL
MySQL database consulting services centre on InnoDB: buffer pool and redo sizing, change buffer and purge behaviour, lock contention diagnosed from performance_schema and SHOW ENGINE INNODB STATUS, and replication topologies from classic asynchronous replication to Group Replication and InnoDB Cluster. Online schema change with gh-ost or pt-online-schema-change, ProxySQL routing, and upgrades across the 8.0 and 8.4 LTS lines are standard deliverables. The practice covers Community, Percona Server and Enterprise editions, and advises on which features still justify an Oracle subscription after the Community transfers.
See MySQL consulting services, MySQL support and MySQL remote DBA. Teams running Oracle’s managed offering have a dedicated page for MySQL HeatWave consulting and managed services.
MariaDB
In MinervaDB’s database consulting services, MariaDB is treated as its own engine, not a MySQL variant, because the divergence in GTID implementation, optimizer behaviour, JSON handling and storage engines (Aria, MyRocks, ColumnStore, Spider) decides how estates are designed and migrated. Galera Cluster and MaxScale are the two components that generate the most support demand: certification conflicts, flow control, state transfer failures, and MaxScale read-write split and automatic failover behaviour. Migrations run in both directions, MySQL to MariaDB and MariaDB back to MySQL, with the incompatibilities mapped before cutover.
The engine pages are MariaDB consulting services, MariaDB support and MariaDB remote DBA.
Microsoft SQL Server and Azure SQL
SQL Server database consulting services are dominated by Always On Availability Group design and failover testing, query optimizer and index tuning from the plan cache and Query Store, tempdb and memory configuration, and licensing-aware consolidation. Azure SQL Database and Managed Instance are covered as distinct platforms with their own performance tiers, failover groups and migration paths from on-premises instances. Emergency work, such as a corrupted database, a suspect state or an AG that will not fail over, is handled under the 24×7 subscription.
See SQL Server consulting services, SQL Server support and Azure SQL consulting and managed services.
Oracle Database
Oracle database consulting services follow the RU and MRP patching model with out-of-place patching, CDB and PDB operations, and the HA and DR toolkit of RMAN, Data Guard with fast-start failover, RAC and ASM, and GoldenGate. Performance evidence comes from AWR, ASH and ADDM where the Diagnostics Pack is licensed and from STATSPACK where it is not, and every recommendation states which. Oracle Cloud database services, Exadata and the multicloud offerings on Azure, AWS and Google are covered alongside on-premises estates. Exit programmes to PostgreSQL are scoped separately under the migration services.
The Oracle consulting, consultative support and remote DBA page describes the service boundary between MinervaDB and Oracle Support and what an estate takeover requires.
IBM Db2
Db2 database consulting services are delivered as two disciplines. Db2 LUW covers bufferpools and STMM, BLU columnar, pureScale, HADR with Pacemaker, monitoring through the MON_GET_* functions, runstats and reorg strategy, and 11.5 to 12.1 upgrades. Db2 for z/OS covers subsystem architecture, data sharing, DSNZPARM tuning, utilities, plans and packages, function levels and the migration wave from Db2 12 to Db2 13. Modernisation and offload patterns, such as CDC into PostgreSQL or ClickHouse, are scoped with the mainframe team’s boundary made explicit.
See Db2 consulting, 24×7 support and managed services.
MongoDB
MongoDB database consulting services begin with shard key and schema design, because most performance and cost problems trace back to those two decisions. Replica set topology and write concern, WiredTiger cache and checkpoint tuning, index strategy from the profiler and explain() output, and Atlas cost optimisation are the recurring workstreams. Upgrades across major versions and migrations between self-managed and Atlas are executed with rollback points at each stage.
See MongoDB consulting services and MongoDB consultative support.
ClickHouse
ClickHouse database consulting services at MinervaDB cover MergeTree schema engineering (sort keys, partitioning, skip indexes, projections and materialized-view topology), sharding and ReplicatedMergeTree with Keeper, ingestion from Kafka and object storage, and migrations into ClickHouse from Redshift, Snowflake, BigQuery, Druid and Elasticsearch. Performance is measured through system.query_log, system.parts and system.merges, and every engagement is on 100% open-source ClickHouse. Deep ClickHouse platform engineering and 24×7×365 managed services are delivered through our sister brand ChistaDATA.
See ClickHouse consulting services.
Redis and Valkey
Redis database consulting services cover keyspace design and memory encodings, eviction and fragmentation, RDB and AOF persistence trade-offs, Sentinel and Cluster topology, latency engineering across the diverging Redis and Valkey threading models, and the licensing decision between Redis 8.x and the BSD-licensed Valkey fork. Cloud mappings to ElastiCache, MemoryDB, Memorystore and Azure Managed Redis are part of every architecture review.
See Redis support.
Apache Cassandra and Apache Kafka
Cassandra database consulting services centre on data modelling for the access pattern, compaction strategy selection, repair scheduling, tombstone control and multi-datacenter replication. Kafka work covers partitioning and consumer-group design, broker and KRaft sizing, exactly-once and idempotent producer configuration, and the connectors that feed analytical databases. Both engines are supported 24×7 under the same SLA tiers as the relational estate.
See Cassandra consulting services and Kafka consulting services.
Cloud DBaaS database consulting services: AWS, Azure and Google Cloud
Managed database services change what a DBA controls, and MinervaDB’s database consulting services maintain an explicit map of what each service exposes and what it hides. On AWS the pages cover Amazon RDS and Aurora support, Amazon Redshift consulting services and AWS data platform engineering. On Google Cloud, AlloyDB consulting services, BigQuery consulting services and Google Cloud data platform engineering. On Azure, Azure SQL and Azure Cosmos DB consultative support. Lakehouse and warehouse platforms have their own pages for Snowflake and Databricks. Cloud FinOps for database spend, reserved-capacity modelling and right-sizing from the provider’s own performance insights are part of each.
Remote DBA, emergency cover and migrations across engines
Engine-agnostic database consulting services sit alongside the per-engine pages. Remote DBA services describe the operating model for a mixed estate: one team, one ticketing and escalation path, one monthly report across PostgreSQL, MySQL, SQL Server, MongoDB and the rest. 24×7 emergency DBA coverage is the short-notice option for an outage, a failed upgrade or a corruption event on an estate that is not yet under contract. Database transformation services cover re-platforming: Oracle and Db2 exits to PostgreSQL, monolith-to-sharded redesigns, and moves between self-managed and cloud DBaaS with cutover rehearsals and measured rollback paths.
How the database consulting services measure before they recommend
Every engine carries its own instrumentation, and the rule across MinervaDB’s database consulting services is that a recommendation names the source it came from. The table below lists the primary evidence used in each engine’s consulting and support work. A health check that cannot be traced back to these views is not a health check.
| Engine | Primary performance evidence | Availability and replication evidence |
|---|---|---|
| PostgreSQL | pg_stat_statements, pg_stat_user_tables, pg_stat_bgwriter, EXPLAIN (ANALYZE, BUFFERS) |
pg_stat_replication, pg_replication_slots, Patroni REST API, WAL archive lag |
| MySQL and MariaDB | performance_schema statement and wait tables, SHOW ENGINE INNODB STATUS, slow query log with pt-query-digest |
SHOW REPLICA STATUS, performance_schema.replication_*, wsrep_* status for Galera, MaxScale monitors |
| SQL Server | Query Store, sys.dm_exec_query_stats, wait statistics from sys.dm_os_wait_stats, actual execution plans |
sys.dm_hadr_* views, AG dashboard, backup history in msdb |
| Oracle | AWR, ASH and ADDM where licensed; STATSPACK otherwise; SQL Plan Management baselines | V$DATAGUARD_STATS, Data Guard broker, RMAN catalog and restore validation |
| Db2 | MON_GET_PKG_CACHE_STMT, MON_GET_BUFFERPOOL, db2pd, explain tables |
HADR status from MON_GET_HADR, pureScale member and CF state, z/OS data sharing group views |
| MongoDB | Profiler output, explain() executionStats, serverStatus WiredTiger sections |
rs.status(), oplog window, balancer and chunk migration state |
| ClickHouse | system.query_log, system.parts, system.merges, EXPLAIN PIPELINE |
system.replicas, system.replication_queue, Keeper four-letter-word monitoring |
| Redis and Valkey | INFO memory and INFO stats, SLOWLOG, LATENCY subcommands, MEMORY DOCTOR |
INFO replication, Sentinel and Cluster state, persistence status from INFO persistence |
| Cloud DBaaS | Performance Insights (RDS), Query Insights (Cloud SQL), Query Performance Insight (Azure SQL) plus the engine’s own views where exposed | Provider failover events, replica lag metrics, backup and PITR window verification |
The same sources drive the monthly reports under support and remote DBA subscriptions, so a trend reported in month six is measured the same way as the baseline in month one. When a client’s monitoring stack (PMM, Datadog, CloudWatch, Grafana) already collects these, the database consulting services work from the client’s stack rather than installing its own.
Migration paths the database consulting services cover
Migrations are scoped as a source-to-target pair, because the hard problems are pair-specific: type mapping, procedural code, replication topology during cutover, and the rollback point at each phase. The pairs below are the ones executed most often; others are scoped on request.
| From | To | Where the effort concentrates |
|---|---|---|
| Oracle | PostgreSQL | PL/SQL conversion, sequences and identity columns, partitioning strategy, Data Guard to logical replication for the parallel-run phase |
| Db2 LUW or z/OS | PostgreSQL | Stored procedure and trigger conversion, EBCDIC and code page handling, CDC-based parallel run, mainframe cutover windows |
| SQL Server | PostgreSQL or Azure SQL | T-SQL conversion, identity and sequence semantics, Always On to streaming or logical replication, application driver changes |
| MySQL | MariaDB, or MariaDB to MySQL | GTID incompatibility, JSON type differences, storage engine parity, replication chain rebuild |
| Self-managed PostgreSQL or MySQL | RDS, Aurora, Cloud SQL, AlloyDB, Azure Database | Feature gaps in the managed service, extension availability, parameter group mapping, cutover with logical replication |
| Redshift, Snowflake, BigQuery, Druid, Elasticsearch | ClickHouse | Sort key design from the query profile, type mapping, materialized-view rollups, ingestion pipeline rebuild |
| Redis | Valkey | Module parity, client library compatibility, persistence and replication cutover without cache-miss storms |
| Monolithic PostgreSQL or MySQL | Sharded (Citus, Vitess, application sharding) | Shard key selection, cross-shard query rewrite, rebalancing plan, dual-write and verification phase |
Every migration plan is delivered as a phased runbook with a rehearsal on a staging copy, a measured comparison of the target against the source under production-shaped load, and a rollback path that has itself been tested. The database transformation services page describes the phases and the evidence produced at each gate.
Database consulting services: engagement models and SLAs
The three engagement shapes map to three commercial models. Consulting is fixed-scope and fixed-price after a short discovery call that establishes the estate, the question and the evidence needed. 24×7 support is an annual subscription priced by the number of engines and instances under cover, with severity-based response times that are contractual: S1 fifteen minutes, S2 twelve hours, S3 twenty-four hours, S4 forty-eight hours.
Remote DBA and managed services are monthly subscriptions priced by estate size and the operational scope taken on, with SLOs for availability, backup success, restore time and patch currency reported every month. Database consulting services under any of the three models are delivered by principal-level engineers who remain accountable for the outcome, not by a rotating bench.
What an engagement produces
Every database consulting services deliverable is a versioned, identified document: a health-check report, an architecture review, a migration plan or a runbook, each with purpose, scope, prerequisites, stepwise commands with expected output, verification after each phase, a rollback path and an escalation matrix. Every performance claim in it names the metric and the catalog or system view it came from.
Every change proposed for a running database states its blast radius and rollback before the change itself. Support and remote DBA subscriptions produce monthly reports against the agreed SLOs, quarterly restore and failover drills, and an upgrade calendar pinned to each engine’s end-of-life dates.
Security and compliance posture
Regulated estates are the norm rather than the exception among the enterprises that use these database consulting services, so security review is built into every engagement rather than sold separately. Consulting work checks encryption at rest and in transit, role and privilege design, row and column level security where the engine supports it, audit logging and retention, and backup encryption and key custody. Support and remote DBA subscriptions include patch currency reporting against each vendor’s security advisories and a quarterly access review.
Posture is assessed against the frameworks the client is measured on, typically GDPR, DPDP, HIPAA, SOX, PCI DSS and SOC 2, and findings are written so an auditor can read them without a database background. The PostgreSQL audit for data privacy and security page shows the depth of that review for one engine; the same method applies to the others.
Choosing where to start
If the estate is one engine and the question is performance, availability or cost, start with that engine’s database consulting services page and ask for a health check. If the estate is several engines and the question is who operates it, start with remote DBA services. If there is an incident in progress, start with emergency coverage. If the question is whether to leave an engine or a cloud, start with database transformation services. In every case the first conversation is an engineer, not a salesperson, and the first output is evidence from your own systems.
Database consulting services from MinervaDB are delivered from the United States and Bengaluru with 24×7 coverage, for more than 900 enterprises across financial services, telecommunications, healthcare, SaaS, retail and manufacturing. Engine documentation referenced on the linked pages is version-pinned; for authoritative behaviour of any engine, the vendor’s own documentation, such as the PostgreSQL documentation, remains the primary source, and every recommendation should be tested on a staging copy of the estate before it reaches production.