MinervaDB · Full-Stack Database Engineering, OPERATIONS, and DATA ANALYTICS
Database Engineering, Operations Support, Analytics, and Managed Services for Mission-Critical Infrastructure, Engineered to Perform Under Any Load
MinervaDB delivers full-stack database engineering services, operations, and data analytics enterprises trust to design, operate, and scale PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, MongoDB, SAP HANA, ClickHouse, Trino, Apache Cassandra, Redis, Valkey, Milvus, and every major cloud DBaaS — backed by senior 24×7 Remote DBA operations and a strict commitment to vendor neutrality.
20+
Years engineering planet-scale databases
24×7
Global operations under strict SLA
15+
Engines & DBaaS platforms supported
90%
Typical cost reduction vs. in-house senior DBA
The Practice
The Database Engineering practice behind internet-scale systems
MinervaDB is a specialist consulting and operations firm focused exclusively on enterprise database infrastructure. We are not a generalist IT services company that happens to do database work. We are database engineers — career practitioners who have spent decades inside PostgreSQL internals, MySQL InnoDB lock managers, MariaDB Galera state machines, Microsoft SQL Server query optimizer paths, MongoDB shard balancers, SAP HANA column-store memory paths, ClickHouse MergeTree storage, Cassandra coordinator logic, Redis and Valkey persistence trade-offs, and the Linux kernel and storage paths that ultimately determine whether the platform meets the SLA the business has signed.
Senior engineers at MinervaDB operate fleets at internet scale — hundreds of nodes, terabytes of working set, sustained throughput measured in millions of operations per second. The engagements we lead start with the production reality and end with measurable outcomes — p95 and p99 latency reductions, sustained throughput improvements, capacity headroom restored, recovery objectives met under test, and audit posture documented for GDPR, HIPAA, SOX, PCI DSS, and SOC 2 review.
The MinervaDB practice covers the full open-source database landscape — PostgreSQL, MySQL, MariaDB, MongoDB, Apache Cassandra, Redis, Valkey, ClickHouse, Trino, and Milvus — alongside the commercial estates that anchor most enterprises, including Microsoft SQL Server, Oracle Database, and SAP HANA. The cloud DBaaS layer — Amazon RDS, Amazon Aurora, Amazon Redshift, Azure SQL Database, AlloyDB, Google BigQuery, Cloud Spanner, Oracle MySQL HeatWave, Snowflake, and Databricks — is operated end-to-end with the same engineering depth. Streaming and pipeline systems — Apache Kafka, Debezium, Amazon Kinesis, and Apache Flink — are part of every analytical and event-driven engagement we design.
From offices in the San Francisco Bay Area and distributed engineering pods across North America, EMEA, and Asia-Pacific, MinervaDB delivers follow-the-sun coverage against contracted service-level agreements. The on-call engineer at three in the morning in any time zone is a senior practitioner with full context — not a ticket queue. Every engagement is principled, written down, decision-grade, and ready to execute the moment it lands in the hands of the customer engineering team.
Five Pillars of Database Engineering Excellence
The disciplines every MinervaDB engagement is engineered against
Audits, runbooks, migrations, and on-call rotations all map back to the same disciplines — measured, instrumented, and continuously validated against the platform in production.
01
Performance Engineering
Query plans, wait events, lock graphs, and kernel-level traces — not dashboard guesses. MinervaDB engineers instrument the workload with pg_stat_statements, performance_schema, Query Store, ClickHouse system_metrics, MongoDB profiler, nodetool, and eBPF tracing, then tune at every layer: SQL, schema, indexes, buffer caches, connection pools, OS, and storage. Outcomes are measured in p95 and p99 latency, sustained throughput, and headroom under peak load — verified against the production telemetry before and after every change. Request a database performance audit to begin.
02
Scalability
Sharding, partitioning, read replicas, auto-scaling, and connection pooling architected for the workload the business actually runs. Capacity plans are built bottom-up from real traffic, not vendor sizing guides, and validated against workload replay before production cutover. Patterns include Citus and Postgres-FDW for PostgreSQL, ProxySQL for MySQL and MariaDB, MongoDB sharded clusters, Cassandra ring sizing, ClickHouse distributed tables, Aurora reader topologies, and Snowflake multi-cluster warehouses.
03
High Availability
Streaming and logical replication, Patroni, Galera, InnoDB Cluster, Always On Availability Groups, ClickHouse Keeper, MongoDB replica sets, SAP HANA system replication, Redis Sentinel and Cluster, and multi-AZ cloud DBaaS — implemented to defined RPO and RTO targets and stress-tested against real failure scenarios, not happy-path failover demos. Quarterly restore drills and failover exercises validate the engineering against the contractual commitment.
04
Database Reliability Engineering
SRE principles applied to data systems: error budgets, SLOs, deep observability with engine-native and Prometheus-grade telemetry, blameless postmortems, runbook automation, and chaos testing. Reliability becomes an engineering property of the platform, not an aspiration. Schema migration safety, corruption detection with amcheck, DBCC CHECKDB, and validate(), and replication-lag budgets close the loop on what production actually delivers.
05
Data Security and Compliance
Encryption at rest and in transit, role separation, least-privilege access, audit logging, and change controls aligned with GDPR, HIPAA, SOX, PCI DSS, and SOC 2 audit posture. Security is designed in at the architecture stage, not bolted on at the end. Engagements routinely include privilege-creep audits, key-rotation pipelines, row- and column-level security policies, dynamic data masking, and PostgreSQL audit and data-privacy controls for regulated environments.
06
Data Strategy and Operations
Beyond individual engines: data strategy and analytics, pipeline design, real-time streaming with Kafka, Debezium, Kinesis, and Flink, lakehouse strategy across Snowflake, Databricks, BigQuery, and Redshift, governance through Unity Catalog and Lake Formation, and the operational model that keeps the platform trustworthy as the business grows. The engagement that connects every database into one coherent, observable, and audit-ready data tier.
Services
Services engineered around real operational problems
Every service is delivered by senior engineers who have run the engines at production scale. Output is decision-grade, written down, and operational from day one.
Database Consulting and Architecture: strategy, architecture, migration
Independent architecture reviews, technology selection, capacity planning, and migration design across SQL, NoSQL, NewSQL, and cloud-native engines. Every engagement begins with a workload characterization study — peak transactions per second, working-set size, query mix, latency budgets, growth projections, and disaster recovery objectives — so the recommendations are anchored in measurement, not opinion. Output is always written, decision-grade, and ready to execute by the in-house engineering team or by MinervaDB principal engineers. Engagements range from a focused two-week assessment to a multi-quarter modernization program led end-to-end. The architecture practice is deliberately vendor-neutral: when PostgreSQL is the correct answer the recommendation is PostgreSQL, and when the correct answer is Aurora, ClickHouse, Snowflake, or a hybrid topology spanning two clouds, the recommendation reflects that reality.
- Greenfield architecture and topology design
- Multi-cloud and hybrid database strategy
- Migration planning and cutover orchestration
- Database modernization and re-platforming
Database Performance Engineering: audits, tuning, optimization
Diagnostic engagements that find and eliminate the bottlenecks an APM dashboard cannot see — using execution plans, wait analysis, lock graphs, buffer pool diagnostics, eBPF tracing, and kernel-level instrumentation on the running workload. The deliverable is a workload baseline, the top fifty queries by cost, an indexing and schema remediation plan, a connection-pool and parallelism design, and a measured before-and-after report against production telemetry. The MinervaDB performance team has eliminated multi-second p99 latencies in OLTP systems, recovered tens of terabytes of bloated heap and index space in PostgreSQL, redesigned MySQL sharding keys to remove hot rows, and tuned ClickHouse merge trees to cut analytical query latency by an order of magnitude. The work is delivered as a written report with reproducible benchmarks, never as a verbal hand-wave.
- SQL and execution-plan optimization
- Index, partitioning, and storage-engine tuning
- Connection pooling and parallelism design
- OS, filesystem, and kernel tuning
24×7 Remote DBA and Managed Database Services: always-on database operations
Operations as a service: continuous monitoring, incident response under strict SLA, patching, backup validation, capacity reviews, schema-change review, and quarterly architecture audits. The on-call engineer is a senior practitioner with full context on the customer estate, not a triage queue handing tickets to a script. Coverage spans the entire open-source database and cloud DBaaS landscape MinervaDB supports — and the same engineer who designed the topology is the engineer paged at three in the morning when a primary fails over. Customers commonly report a ninety percent reduction in total cost compared with hiring an in-house senior DBA per engine, while gaining a deeper bench, audit-grade runbooks, and follow-the-sun coverage out of San Francisco, Toronto, London, and Bengaluru.
- 24×7 monitoring and on-call coverage
- Proactive troubleshooting and bug fixes
- Patch, upgrade, and version management
- Backup, DR, and compliance reporting
Data Platform and Analytics Engineering: strategy, lakehouse, real-time analytics
Real-time ingestion, columnar warehouses, query federation, lakehouse architecture, and vector workloads built to serve sub-second analytics and AI use cases at petabyte scale — without runaway cost. MinervaDB partners with ChistaDATA to deliver world-class ClickHouse engineering as part of this practice, and the broader analytics bench covers Snowflake, BigQuery, Redshift, Databricks, Druid, Pinot, StarRocks, and Trino federation across heterogeneous sources. The data platform team designs ingestion topologies on Kafka, Debezium, Kinesis, and Flink, builds dimensional and wide-table models that survive schema drift, and operates the resulting estate under the same 24×7 SLA as the transactional database practice. Vector search on Milvus, pgvector, and OpenSearch is delivered as a first-class workload, not an afterthought.
- ClickHouse, Snowflake, BigQuery, Redshift, Databricks
- Trino federation and lakehouse architecture
- Kafka, Debezium, Kinesis, and Flink pipelines
- Vector search on Milvus, pgvector, OpenSearch
Database Engines and Cloud Platforms
Vendor-neutral coverage across relational, NoSQL, analytical, streaming, vector, and cloud-managed systems
MinervaDB is intentionally vendor-neutral. Coverage spans every layer of the modern data tier. For ClickHouse engagements, partner ChistaDATA delivers 24×7 consultative support and managed services alongside MinervaDB engineering.
The MinervaDB Method
Assess · Architect · Engineer · Operate
Every MinervaDB engagement follows the same four-stage method — measurable at every step, with a written deliverable at every gate. Engineering organizations adopt the method because it removes the surprises that destroy database programs.
01
Assess
A focused two- to three-week audit of the database estate: workload profile, schema health, replication lag, backup integrity, observability gaps, and security posture. The output is a written assessment with prioritized findings and an executable remediation plan.
02
Architect
A written target architecture: replication topology, capacity plan, storage layout, security model, observability stack, and recovery design — with concrete configurations, parameter groups, IAM policies, and runbooks. Reviewed with the customer engineering team before any production change.
03
Engineer
Senior engineers implement alongside the in-house team — tuning instances, rewriting queries, building automation, deploying observability, rehearsing failover. Knowledge transfer is continuous; nothing is delivered as a black box that the customer cannot operate independently.
04
Operate
A fully documented handover or a 24×7 Remote DBA contract covering monitoring, incident response, capacity reviews, patching, and quarterly architecture review. The platform stays maintained, current, and aligned with the next twelve to twenty-four months of business growth.
Why MinervaDB
Why engineering teams choose MinervaDB
Database engineering is a small market with a long tail of generalists. MinervaDB is built around principal-engineer ownership, vendor-neutral judgment, and operational rigor at Fortune 500 scale.
Practitioners, Not Generalists
Every senior engineer has run the engines we consult on at production scale. We bring code, configuration, internals knowledge, and the operational scars that only come from operating real systems under load — not generalized advice.
Vendor-Neutral by Design
No reseller quotas, no implementation bias, no preference for any particular database or cloud. Every recommendation is optimized for workload fit, total cost of operation, and long-term maintainability against the business commitment.
24×7 Global Coverage
Distributed engineering pods across multiple time zones in North America, EMEA, and Asia-Pacific. An on-call engineer with full context is available under contracted SLAs — not a ticket queue, not a junior triaging escalations.
Boutique Service, Enterprise Standards
Headquartered in the San Francisco Bay Area with global reach. Boutique-firm responsiveness combined with the operational rigor expected by Fortune 500 audit teams. Every engagement reflects the same standard of written communication and engineering discipline.
Pay-As-You-Go Engagement
Engagements start at forty hours. Transparent hourly billing. No multi-year lock-in. Customers typically see roughly ninety percent cost reduction compared with hiring senior in-house DBAs, with the ability to scale engagement volume up or down each quarter.
Compliance-Ready Delivery
GDPR, HIPAA, SOX, PCI DSS, and SOC 2 controls baked into every architecture and every operational handover — not added after the fact. Audit-ready documentation, change-management evidence, and access-control reviews come standard.
Industries We Serve
Built for industries where database downtime is unacceptable
MinervaDB engineers operate databases for businesses where a five-minute outage shows up in a quarterly earnings call. The bench has shipped mission-critical systems across regulated industries, hyperscale consumer platforms, and capital-intensive infrastructure operators on six continents.
Financial Services and Capital Markets
Investment banks, exchanges, payment networks, neobanks, and trading platforms run PostgreSQL, Oracle, SQL Server, and ClickHouse estates engineered by MinervaDB. The work covers sub-millisecond order-book latency, regulatory-grade audit trails for MiFID II and Dodd-Frank, encryption-at-rest under PCI DSS, and cross-region disaster recovery with recovery time objectives measured in seconds rather than minutes.
Healthcare and Life Sciences
Electronic health records, clinical research data warehouses, genomics pipelines, and patient-engagement platforms demand HIPAA controls, immutable audit logs, and uncompromising data integrity. MinervaDB engineers PostgreSQL, MongoDB, and ClickHouse systems for healthcare operators where a corrupted row can have clinical consequences, with full chain-of-custody documentation.
Telecommunications and Network Operators
OSS, BSS, charging, mediation, and subscriber data systems live on top of Cassandra, PostgreSQL, Oracle, and SAP HANA. MinervaDB engineers high-write-throughput topologies, multi-region replication, and zero-downtime upgrades for tier-one carriers — backed by the founder’s deep telecom OSS/BSS engineering background.
Hyperscale SaaS and Consumer Platforms
Multi-tenant SaaS platforms with millions of monthly active users live or die on database sharding strategy, connection-pool design, and analytical query latency. MinervaDB engineers the PostgreSQL, MySQL, MongoDB, and ClickHouse layer for hyperscale SaaS operators to support ten-to-one hundred-fold growth without re-architecture.
Public Sector and Defense
Sovereign workloads with strict data-residency, classification, and air-gap requirements deserve database engineering that treats security as a first-class deliverable. MinervaDB supports public-sector operators with hardened PostgreSQL and MySQL configurations, role-based access control, encryption key management, and full evidence packages for accreditation reviews.
E-Commerce, Retail, and Logistics
Peak-event readiness — Black Friday, Diwali, year-end logistics — is engineered, not hoped for. MinervaDB performance engineers run load tests against production-shaped data, redesign hot indexes, retune buffer pools, and prove the system will hold up against ten times peak before the event window opens, then stand watch through the peak as part of 24×7 cover. See the retail data architecture playbook and the digital advertising data engineering patterns MinervaDB has shipped to high-traffic operators.
Engagement Models
Three ways enterprises engage with MinervaDB
Every engagement is scoped to the outcome, not the hour. Customers select the model that matches the operational reality — a focused project, a continuous retainer, or fully managed operations.
Project Engineering
Fixed-scope engagements that produce a written deliverable: a database assessment, a performance audit, an architecture review, a migration runbook, a HA and DR design, or a security and compliance hardening plan. Typical duration is two to twelve weeks. Output is engineering-ready and operational from the day of handover, with every recommendation tied to a measured baseline and a quantified expected outcome. Most customers begin with this model and expand into a retainer or managed services from the first successful project, and the project deliverables become the foundation for the long-term engineering relationship.
Performance Retainer
A continuous engagement that gives the customer engineering team on-demand access to MinervaDB principal engineers for ongoing tuning, query optimization, schema reviews, capacity planning, engineering escalations, and architectural guidance on the database estate. The retainer is sized in hours per quarter and flexes against business demand, with no unused-hours penalty and no rollover trap. Customers use the retainer to maintain the gains delivered in the initial performance audit, to engineer new workloads as the product roadmap evolves, and to keep a senior database bench available without carrying the headcount on the engineering org chart.
24×7 Remote DBA
Fully managed database operations under a contracted service-level agreement: round-the-clock monitoring, incident response with paged-engineer SLA, patching and version management, backup validation, change management, capacity reviews, schema-change review, and quarterly architecture audits. The MinervaDB engineering team takes operational ownership of the database estate so the customer engineering organization can focus entirely on the product roadmap. The engagement scales from a single critical production database to a fleet of hundreds of nodes across multiple cloud regions and engines, billed at a predictable monthly rate. Explore Remote DBA subscription plans or the 24×7 emergency DBA programs.
Outcomes That Move the Business
Engineering measured by what production actually delivers
MinervaDB engagements are measured against production telemetry, not slide-deck claims. The patterns we ship across the customer estate produce repeatable, board-room-grade outcomes.
p95 and p99 Latency Reductions
Targeted query optimization, index strategy, schema remediation, connection pool tuning, and storage path engineering routinely deliver fifty to ninety percent reductions in tail-latency metrics across PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB, and ClickHouse workloads — verified against the production telemetry before and after every change.
Sustained Throughput Headroom
Workload-aware capacity planning, sharding strategy, replication topology, and auto-scaling design rebuild the headroom the platform needs to absorb peak load and growth without re-platforming. Customers typically reclaim two to four quarters of capacity runway from a single performance program.
Reduced Total Cost of Ownership
Right-sizing of cloud DBaaS instances, warehouse sizing, slot reservations, and storage tiering combined with disciplined cost governance routinely reduce monthly database spend by twenty to forty percent — without sacrificing the performance, availability, or compliance the business depends on.
Recovery Objectives Met Under Test
Engineered HA and DR — Patroni, Galera, InnoDB Cluster, Always On Availability Groups, MongoDB replica sets, SAP HANA system replication, ClickHouse Keeper, and multi-AZ DBaaS — validated against rehearsed restore drills and failover exercises. RTO and RPO commitments become engineered properties, not optimistic assertions.
Audit-Ready Compliance Posture
GDPR, HIPAA, SOX, PCI DSS, and SOC 2 control environments delivered with documented evidence of encryption, access control, audit logging, and change management. Audit cycles compress from weeks of evidence-gathering to a single review of the documentation already produced as part of the engagement.
Roughly 90% Cost vs. In-House Senior DBA
The pay-as-you-go MinervaDB engagement model replaces the fully-loaded cost of a senior in-house DBA bench with an on-demand expert team that flexes against business demand — typically delivering roughly ninety percent cost reduction against the equivalent internal hire.
From the Founder
A note from Shiv Iyer
MinervaDB was founded on a single conviction: the database tier is the most consequential, least forgiving layer of every serious software business, and it deserves engineering of the same caliber the rest of the platform receives. After two decades operating planet-scale database fleets across telecommunications, capital markets, healthcare, and hyperscale consumer platforms, the pattern was unmistakable — the businesses that win the database engineering investment win the operational outcome. The ones that treat the database as a commodity service eventually pay the bill in outages, audit findings, and re-platforming projects that consume years of engineering budget.
MinervaDB exists to be the engineering partner enterprises can pick up the phone and call when the database tier has to perform. The bench is built from career database engineers — not generalists who picked up a tutorial last year — and the operating model is built on written deliverables, measurable outcomes, and the quiet discipline of operating real systems under real load. Every engagement is run with the same standard regardless of company size, contract value, or engine — because the database does not care about the org chart, and customers should not either.
A database is not infrastructure that quietly serves the business — it is the business. The query that pays the salary, the write that completes the payment, the read that surfaces the recommendation. MinervaDB exists to engineer that layer with the seriousness it deserves, so the teams building on top can ship without fear.
Shiv Iyer · Founder and Chief Executive Officer, MinervaDB Inc.
Frequently Asked Questions
What customers ask before engaging MinervaDB
What does MinervaDB do?
MinervaDB is a specialist database engineering services firm. We design, build, tune, and operate enterprise database infrastructure across PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, MongoDB, SAP HANA, ClickHouse, Trino, Apache Cassandra, Redis, Valkey, Milvus, and the major cloud DBaaS platforms — including 24×7 Remote DBA services under contracted SLAs.
Which database engines and cloud platforms does MinervaDB support?
Coverage spans relational (PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, Oracle, SAP HANA), NoSQL (MongoDB, Apache Cassandra, Azure Cosmos DB), in-memory (Redis, Valkey), analytical (ClickHouse, Snowflake, Google BigQuery, Amazon Redshift, Databricks, Apache Druid, Apache Pinot, StarRocks), federation (Trino), vector (Milvus, pgvector, OpenSearch), and cloud DBaaS (Amazon RDS, Amazon Aurora, Azure SQL, AlloyDB, Cloud Spanner, Oracle MySQL HeatWave). MinervaDB is vendor-neutral across all of them.
How is a MinervaDB engagement structured?
Most engagements start with a focused database assessment that produces a written architecture and remediation plan. From the assessment, work scales into project-based engineering, a performance retainer, or a 24×7 Remote DBA contract. Engagements begin at forty hours with no long-term lock-in, and the engagement model can flex up or down quarter by quarter against business demand.
Can MinervaDB act as our extended DBA team?
Yes. The Remote DBA practice operates around the clock under defined SLAs and covers monitoring, incident response, patching, capacity reviews, backup validation, and audit reporting. Engine-specific programs are available for PostgreSQL, MySQL, MariaDB, Apache Cassandra, and the broader NoSQL estate. The customer engineering team gains an extended bench of senior database engineers with full context on the production estate, without hiring the headcount.
Which compliance frameworks does MinervaDB operate under?
MinervaDB delivers under GDPR, HIPAA, SOX, PCI DSS, and SOC 2 control environments. Encryption at rest and in transit, role separation, audit logging, change management, and access reviews are part of every architecture and every handover, and audit-ready documentation is produced as a standard deliverable.
How quickly can MinervaDB engage?
Assessments and incident-response engagements typically begin within five business days. Full 24×7 Remote DBA onboarding — including environment access, runbook capture, monitoring integration, and on-call rotation alignment — takes two to three weeks for a typical enterprise estate.
What does pricing look like?
MinervaDB operates on a pay-as-you-go model with transparent hourly billing and a forty-hour engagement minimum. Customers typically see roughly ninety percent cost reduction compared with hiring senior DBAs in-house, with the ability to scale engagement volume up or down each quarter as the business demands. There is no multi-year lock-in, no per-server licensing tax, and no surprise add-ons — the engagement scope is written, signed, and measured.
How does MinervaDB integrate with our in-house engineering team?
MinervaDB engineers operate as a virtual extension of the in-house engineering organization. The collaboration model is shared Slack or Microsoft Teams channels, integration with the issue tracker the engineering team already uses, joint runbook authorship in the customer-owned knowledge base, and weekly engineering reviews. Every artifact — architecture document, runbook, tuning ticket, post-incident review — is co-owned and remains the property of the customer engineering organization after the engagement concludes.
Do you support migrations from Oracle, SQL Server, or commercial estates to open source?
Yes. MinervaDB runs end-to-end migration programs from Oracle Database, Microsoft SQL Server, and SAP HANA to PostgreSQL, MySQL, MariaDB, and the open-source analytical stack — covering schema conversion, stored procedure rewriting, data movement under change-data-capture, application cutover orchestration, and the post-cutover stabilization period. Migration plans are scoped against a documented business case, with measurable cost and operational targets agreed before the engineering work begins.
Can MinervaDB engage on a single critical incident?
Yes. The 24×7 emergency DBA coverage practice engages on emergency engineering escalations — database outages, replication breaks, corruption events, performance regressions, runaway queries, and security incidents. Initial engineering presence is typically available within a few business hours under existing-customer SLAs, and within one to two business days for new engagements once contracting completes. The engagement converts naturally into an architecture review and a follow-on retainer after the incident is resolved.
How does MinervaDB compare with EnterpriseDB, Percona, DataStax, or in-house hiring?
MinervaDB is engine-neutral and bench-deep across the full open-source and commercial database landscape, not a single-vendor support shop. The engineering bench has shipped production systems on every major engine — from PostgreSQL and MySQL to ClickHouse, Cassandra, MongoDB, SAP HANA, and SQL Server — and the operating model is built around principal-engineer ownership and written deliverables. Compared with hiring an in-house senior DBA per engine, customers typically realize roughly ninety percent cost reduction through the flexible engagement models and the shared-bench advantage.
What is the cost of MinervaDB database engineering services?
MinervaDB engagements operate on transparent hourly billing with a forty-hour minimum and no multi-year lock-in. Performance audits, architecture reviews, and migration programs are scoped at engagement signature; Remote DBA subscription plans are billed at a predictable monthly rate against the database fleet under operations. Customers can flex up or down each quarter as the business roadmap evolves.
Can MinervaDB run cloud database operations on AWS, Azure, GCP, and Oracle Cloud?
Yes. The cloud-native database support practice operates Amazon RDS, Amazon Aurora, Amazon Redshift, Azure SQL Database, Google Cloud SQL, AlloyDB, Cloud Spanner, BigQuery, Oracle MySQL HeatWave, Snowflake, and Databricks under the same engineering standard as on-premises and self-managed deployments. The team also runs cloud database cost and performance optimization programs that routinely reclaim twenty to forty percent of monthly database spend.
What is the MinervaDB approach to database migration and modernization?
MinervaDB runs end-to-end database transformation programs covering schema conversion, stored procedure rewriting, change-data-capture-based data movement, application cutover orchestration, and post-cutover stabilization. Common paths include Oracle and SQL Server to PostgreSQL, legacy MySQL to MySQL 8.0 or MariaDB, and proprietary analytics estates to ClickHouse or Snowflake. Every migration is scoped against a documented business case with measurable cost and operational targets.
Let’s engineer the database layer the business deserves
Whether the next milestone is a migration off a legacy estate, a performance program against a strict latency SLA, or a managed operations contract that frees the engineering team to focus on the product — a thirty-minute conversation with a MinervaDB engineer is enough to know whether we are the right partner.
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