DATABASE TRANSFORMATION SERVICES
Transform the Database Layer Into a Competitive Advantage
MinervaDB Database Transformation Services modernize legacy estates, re-architect under-performing systems, and re-platform mission-critical workloads to the engines and cloud platforms that fit the business — without vendor lock-in, without disruption, and without the multi-quarter timelines that come with traditional consulting.
500K+
Hours of web-scale database engineering
200+
Years combined leadership in high-performance systems
24×7
Global delivery under strict SLA
40 hrs
Minimum engagement — pay-as-you-go
Engineering teams across FinTech, e-commerce, SaaS, advertising, gaming, social media, and content delivery rely on MinervaDB to modernize, scale, and stabilize database platforms that run the business.
WHAT IS DATABASE TRANSFORMATION
Modern Database Engineering for Businesses That Have Outgrown the Status Quo
Database transformation is the disciplined process of moving a database estate from where it is to where the business actually needs it to be — faster, cheaper to operate, easier to scale, and ready for the next generation of analytics and AI workloads. At MinervaDB, we approach transformation as an engineering exercise, not a slide deck. Every engagement is led by senior practitioners who have spent careers inside PostgreSQL internals, MySQL/MariaDB replication, MongoDB sharding, ClickHouse MergeTree storage, and the operating-system and storage layers that determine whether a system meets the SLA.
We work with three kinds of engineering organizations: companies modernizing a legacy estate that no longer fits the workload, teams re-platforming onto cloud-native or open-source engines to escape license cost, and product groups building net-new AI and real-time analytics stacks that demand vector search, columnar storage, and streaming ingest. In every case the deliverable is the same — a database layer the business can trust under load.
WHY MINERVADB FOR TRANSFORMATION
Six Reasons Engineering Leaders Choose MinervaDB to Modernize the Database Layer
The Importance of Database Transformation Services
Every transformation engagement starts from the same engineering principles — and every recommendation can be defended in front of a CTO, a finance team, and the on-call engineer who has to operate the system at 3 a.m.
Full-Stack Database Engineering
Hardware, OS, storage, network, engine internals, schema, query plans, application access patterns — every layer is in scope. Transformations succeed or fail at the layer no one is looking at.
Vendor-Neutral by Charter
MinervaDB has no resale agreement with any database vendor or cloud provider. Recommendations are driven by workload fit, total cost of ownership, and operational risk — never by partner incentives.
Senior Practitioners Only
Every engagement is staffed with engineers who have led mission-critical database operations at scale. No junior on-the-job training, no offshore handoffs, no inflated bench.
Planet-Scale Operating Discipline
Roughly 500,000 hours of combined web-scale database experience inform every design decision — replication topology, failover model, backup strategy, capacity plan, observability stack.
AI and Real-Time Analytics Ready
Vector databases for retrieval-augmented generation, columnar engines for sub-second analytics, streaming pipelines for event-driven systems — built into the transformation roadmap, not bolted on.
Pay-as-You-Go Flexibility
40-hour minimum engagement, no long-term contracts, no per-server licensing markup. Engineering hours are scoped to the work, not packaged into multi-year retainers.
SERVICE PORTFOLIO
Eight Engineering Practices That Form a Complete Transformation Engagement
Engagements are scoped from this portfolio. Most transformations combine four to six practices, run in parallel by a small senior team, and complete within a quarter — not a fiscal year.
Database Architecture & Re-Design
Target-state architecture for replication, sharding, storage layout, failover, and observability — documented as engineering specifications, not vendor brochures. Covers OLTP, OLAP, hybrid, and vector workloads.
Performance Engineering & Tuning
Hardware and OS tuning, engine-level configuration, query and index optimization, buffer-pool sizing, and columnar storage layout. Outcomes are measured in p95/p99 latency, sustained throughput, and headroom under peak load.
Migration & Re-Platforming
Oracle, SQL Server, and legacy MySQL estates moved to PostgreSQL, MariaDB, Aurora, AlloyDB, and Cloud SQL. ClickHouse, Trino, and modern analytics platforms stood up alongside the existing warehouse for zero-disruption cutover.
High Availability & Disaster Recovery
PostgreSQL streaming replication with Patroni, MariaDB Galera Cluster with MaxScale, MongoDB replica sets, ClickHouse Keeper — engineered to defined RPO and RTO targets and stress-tested against real failure scenarios.
Scalability Engineering
Horizontal and vertical scaling strategies sized from real traffic, not vendor sizing guides. Sharding design, connection pooling, read-replica topology, and capacity plans validated against workload replay before production cutover.
Training & Knowledge Transfer
Engineering workshops, runbooks, and architecture documentation built so the in-house team can own the system end-to-end after the engagement. Every transformation ends with a fully documented handover.
AI & Vector Database Implementation
Milvus, pgvector, OpenSearch, and Weaviate stood up for retrieval-augmented generation, semantic search, and recommendation systems. Index design, embedding pipelines, and recall/latency benchmarks are all part of the deliverable.
24×7 Consultative Support
Post-transformation operations cover incident response, capacity reviews, patching, quarterly architecture reviews, and on-call escalation — covered under a Remote DBA contract or retained as an extension of the in-house team.
THE TRANSFORMATION METHOD
A Four-Stage Engineering Method That Produces Working Systems
Every transformation engagement follows the same four-stage method — built so the in-house engineering team can audit every decision, replicate every change, and operate the final system independently.
01
Assess
A focused two-to-three-week audit of the database estate: workload profile, schema health, replication lag, backup integrity, observability gaps, security posture, and total cost of ownership. Delivered as a written report with prioritized findings.
02
Architect
A target-state architecture document — replication topology, sharding model, storage layout, failover plan, observability stack, recovery strategy, and capacity plan — with explicit trade-offs and a phased migration sequence.
03
Engineer
Senior engineers implement alongside the in-house team — schema changes, replication setup, query rewrites, index design, automation, observability wiring, and failover rehearsals. Knowledge transfer happens during the work, not after.
04
Operate
A fully documented handover with runbooks and architecture diagrams — or a 24×7 Remote DBA contract that covers monitoring, incident response, capacity reviews, patching, and quarterly architecture reviews.
TECHNOLOGY COVERAGE
Every Major Database Engine, Analytics Platform, and Cloud DBaaS
Vendor neutrality means MinervaDB engineers across the full database landscape — relational, NoSQL, analytics, vector, streaming, and every major cloud DBaaS — and recommends the engine that fits the workload, not the partner program.
For ClickHouse, our partner ChistaDATA delivers 24×7 consultative support and managed services as part of the MinervaDB transformation practice.
INDUSTRIES WE TRANSFORM
Database Transformation Practices Calibrated to the Workload
MinervaDB engineers transformations across the industries where the database layer is the product — not a back-office system. Patterns and trade-offs differ by domain, and every recommendation is shaped by what the workload actually requires.
FinTech & Payments
Sub-millisecond OLTP, PCI DSS-compliant infrastructure, regulatory reporting pipelines, and 24×7 trading-platform reliability — engineered for institutions where downtime is measured in lost revenue per second.
E-Commerce & Marketplaces
Catalog scale, cart concurrency, inventory consistency, search latency, and traffic-spike survivability — built for peak-season traffic that breaks generic database architectures.
SaaS & Multi-Tenant Platforms
Per-tenant isolation models, fair-share resource allocation, sharded architectures, and cost-efficient scaling — designed so the database layer scales with the customer base, not the engineering team.
AdTech & Real-Time Bidding
High-throughput ingest, low-latency lookups, columnar analytics for campaign reporting, and streaming pipelines that turn raw events into actionable signal within seconds.
Gaming & Social Media
Session-heavy workloads, leaderboard sharding, social-graph queries, and globally distributed read replicas — engineered for engagement patterns that traditional database designs cannot sustain.
Content Delivery & Streaming
Metadata catalogs, recommendation engines, viewer-state replication, and analytics platforms — built to keep latency low and availability high across global edge regions.
ENGAGEMENT MODEL
Flexible Delivery Built Around the Engineering Calendar, Not the Sales Cycle
MinervaDB engagements are scoped to the work, not packaged into multi-year contracts. Engineering hours are billed transparently, escalation paths are senior by default, and the in-house team owns every artifact at handover.
FREQUENTLY ASKED QUESTIONS
Answers to the Questions Engineering Leaders Ask First
If the question is not covered below, a 30-minute conversation with a MinervaDB engineer is the fastest way to scope the work — no sales process, no qualifying call.
What is database transformation, exactly?
Database transformation is the engineering work of moving a database estate from where it is to where the business needs it to be — modernizing legacy engines, re-platforming onto open-source or cloud-native databases, redesigning replication and high availability, optimizing performance, and building in the observability and automation required to operate at scale. MinervaDB delivers transformation as engineering work, not advisory slides.
How long does a typical transformation engagement take?
Most engagements complete within a quarter. A focused assessment runs two to three weeks, the architecture phase runs three to four weeks, and the engineering phase typically lands inside six to ten weeks depending on estate size and cutover windows. Long, multi-year transformations are usually a symptom of unfocused scope — MinervaDB defines work tightly and ships in phases.
Which databases and cloud platforms do you cover?
PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, Oracle, MongoDB, Cassandra, ClickHouse, Trino, Redis, Valkey, Milvus, pgvector, Apache Kafka — and the full lineup of cloud DBaaS platforms including Amazon RDS, Aurora, Azure SQL, Google Cloud SQL, AlloyDB, Cloud Spanner, and MySQL HeatWave. For ClickHouse, the ChistaDATA partnership delivers managed services.
How is MinervaDB different from a generalist consulting firm?
Generalist firms staff transformations with a mix of senior architects and junior implementers, and the work is often led by partners whose incentives are tied to vendor agreements. MinervaDB staffs every engagement with senior database engineers, holds no vendor resale agreements, and bills against actual hours rather than fixed-price packages that pad the bench.
Can MinervaDB work alongside the in-house engineering team?
Yes — that is the default operating model. MinervaDB engineers pair with in-house teams on schema changes, replication setup, query rewrites, observability wiring, and failover rehearsals. Knowledge transfer happens during the engagement, and a fully documented handover ensures the in-house team owns the system end-to-end after cutover.
What about post-transformation operations and on-call?
Engagements can end with a documented handover or extend into a 24×7 Remote DBA contract that covers monitoring, incident response, capacity reviews, patching, and quarterly architecture reviews. Both options are available and most clients opt for a phased transition from active engineering to retained support.
What is the minimum engagement and how is billing structured?
Minimum engagement is 40 hours, billed pay-as-you-go against actual engineering hours. No long-term contracts, no per-server license markup, no inflated team sizes. Scoping conversations happen before billing starts so the engineering team knows exactly what is in scope and what is not.
Which compliance frameworks does MinervaDB operate under?
MinervaDB engagements are built to support GDPR, HIPAA, SOX, PCI DSS, and SOC 2 — encryption in transit and at rest, audit logging, role-based access, secrets management, and incident response procedures are part of every transformation by default.
Database transformation is not a slide deck. It is engineering work — replication topologies that survive failure, query plans that hold under load, observability that catches problems before customers do, and a runbook the on-call engineer can actually use at 3 a.m. That is the work MinervaDB ships, every engagement.
Shiv Iyer — Founder & CEO, MinervaDB
READY TO START
Let’s Transform the Database Layer Into a Platform the Business Can Trust
A 30-minute conversation with a MinervaDB database engineer is enough to scope the assessment phase and define the first deliverable. No qualifying call, no sales funnel — just engineering.
Sales: +1 (844) 588-7287 (USA) · +1 (415) 212-6625 (USA) · +1 (778) 770-5251 (Canada)
Support: support@minervadb.com · Remote DBA: remotedba@minervadb.com