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SVC_09 · DATA PLATFORM

Database & Data Platform
Managed Services

Architecture, HA/DR, performance & 24×7 ops across 11 engines.

The data platform is the foundation everything else sits on. We architect, implement, and operate database estates across 11 engines — with the depth to handle Oracle licensing complexity, the breadth to manage polyglot environments, and the operational model to keep it all running 24×7 with predictive AIOps.

11
Database Engines
10
Service Categories
24×7
Operational Model
P1 15min
SLA Response
Zero
Unplanned Downtime Goal
4–6 wks
Typical Onboarding
10 Service Categories

Everything your data platform needs

From initial architecture through 24×7 operations — ten practice areas covering every dimension of enterprise database management.

  • Logical and physical schema design for OLTP, OLAP, and hybrid workloads
  • Platform selection advisory across relational, NoSQL, graph, and streaming engines
  • Data modelling for regulated industries — financial, telecom, government
  • Migration architecture from legacy systems (Oracle Forms, SQL Server 2008, on-prem MySQL)
  • Multi-region and multi-cloud data topology design
  • Oracle Data Guard, RAC, and GoldenGate HA/DR design and implementation
  • SQL Server Always On Availability Groups and Log Shipping
  • PostgreSQL Patroni, Streaming Replication, and pgBackRest
  • MongoDB Replica Sets and Sharded Cluster HA
  • DR runbook design, tabletop testing, and RTO/RPO validation
  • Execution plan analysis and query rewrite for Oracle, SQL Server, and PostgreSQL
  • Index strategy design — covering indexes, partial indexes, composite key optimization
  • Wait event analysis and I/O bottleneck identification
  • Connection pool tuning and application-layer query pattern review
  • Capacity modelling and growth projection for storage and compute
  • Proactive monitoring with AIOps-enabled alerting and anomaly detection
  • Space management, log rotation, and automated housekeeping
  • Patch management on client-approved schedules with rollback plans
  • On-call incident response with defined SLA tiers (P1 15-min, P2 1-hr, P3 4-hr)
  • Monthly health reports and quarterly architecture reviews
  • Oracle Database Appliance (ODA) deployment, configuration, and lifecycle management
  • Oracle RAC (Real Application Clusters) design, implementation, and operations
  • Oracle Data Guard primary/standby configuration and switchover/failover testing
  • Exadata performance optimization and Smart Scan tuning
  • Oracle licensing advisory — Core Factor, PVU, NUP, and virtualization compliance
  • ETL/ELT pipeline design and build using Apache Spark, dbt, and Airflow
  • Real-time streaming pipelines with Apache Kafka and Kafka Connect
  • Oracle GoldenGate and AWS DMS for heterogeneous replication
  • Data quality validation, lineage tracking, and pipeline observability
  • CDC (Change Data Capture) implementation for event-driven architectures
  • RDS, Aurora, Azure SQL, Cloud SQL, and AlloyDB managed service operations
  • Hybrid on-premises / cloud database topology design and operations
  • Sovereign-cloud database deployment for GCC government compliance requirements
  • Cloud cost optimization — right-sizing, reserved capacity, and storage tiering
  • Database-as-a-Service (DBaaS) migration planning and execution
  • Role-based access control (RBAC) design and least-privilege enforcement
  • Transparent Data Encryption (TDE) and column-level encryption implementation
  • Database activity monitoring (DAM) and audit trail design for regulatory compliance
  • Vulnerability assessment and CIS Benchmark hardening for all supported engines
  • GDPR, PIPEDA, and NCA/TDRA data residency and privacy control implementation
  • Vector database selection, deployment, and operations (pgvector, Pinecone, Weaviate, Qdrant)
  • Embedding pipeline design and integration with LLM and agent workflows
  • Retrieval-Augmented Generation (RAG) data layer architecture
  • Low-latency data access patterns for real-time agent tool calls
  • Hybrid search architecture combining vector and full-text retrieval
  • Oracle license audit and compliance gap analysis (Core Factor, PVU, NUP)
  • SQL Server edition right-sizing and Software Assurance advisory
  • Cloud database spend analysis and reserved instance optimization
  • Open-source migration feasibility assessment (Oracle → PostgreSQL, SQL Server → PostgreSQL)
  • Vendor negotiation support with independent licensing analysis
11 Supported Engines

Deep expertise across the full stack

Core engines at production depth. Extended and streaming engines at enterprise scale.

OracleCore

ODA · RAC · Data Guard · Exadata · GoldenGate

SQL ServerCore

Always On · Log Shipping · SSIS · SSRS

PostgreSQLCore

Patroni · pgBackRest · pgvector · Citus

MySQLCore

InnoDB · Group Replication · ProxySQL

MongoDBExtended

Replica Sets · Sharding · Atlas Ops Manager

CassandraExtended

Multi-DC · Compaction · DataStax Enterprise

RedisExtended

Cluster · Sentinel · Streams · Modules

ElasticsearchExtended

Index Lifecycle · Snapshot · Fleet

Neo4jExtended

Causal Clustering · Cypher · Graph Data Science

KafkaStreaming

Kafka Connect · Schema Registry · ksqlDB

Object StorageStreaming

S3 · Azure Blob · GCS · MinIO

Example Engagement

Financial services database modernization

Modernized and stabilized a mixed Oracle/PostgreSQL/MongoDB estate for a financial services client — 14 databases across 3 environments (production, staging, DR). Implemented Oracle Data Guard HA, Patroni-based PostgreSQL HA, MongoDB Replica Sets, predictive AIOps alerting, and 24×7 managed operations. Reduced unplanned downtime to zero in the first 6 months and cut licensing costs by 22% through Oracle edition right-sizing.

14
Databases
3
Environments
Zero
Unplanned Downtime
−22%
Licensing Cost
6 mo
To Stabilize
24×7
Ops Coverage
How We Engage

From assessment to operations

01
Health Assessment
Architecture review, performance baseline, backup verification, security posture, and licensing audit across your entire estate.
02
Remediation Roadmap
Prioritized findings with effort estimates, risk ratings, and a phased remediation plan your team can approve and schedule.
03
Implementation
HA/DR, performance tuning, security hardening, and pipeline work executed on your timeline with zero production disruption.
04
Managed Operations
24×7 monitoring, on-call response, and proactive maintenance — with monthly health reports and quarterly architecture reviews.

Common questions

Our deepest specialization is Oracle, SQL Server, PostgreSQL, and MySQL — decades of combined production experience including Oracle ODA appliances, RAC, and Data Guard. For MongoDB, Cassandra, Redis, Elasticsearch, Neo4j, Kafka, and object storage we provide architecture, implementation, and full managed operations at enterprise scale.

Proactive monitoring with automated alerting, space management and housekeeping, patch management on your approved schedule, performance triage and escalation, backup verification, and on-call incident response. P1 incidents get a 15-minute response SLA. You get a team, not a ticket queue.

We have deep Oracle licensing expertise — Core Factor calculations, PVU-based licensing, Named User Plus, and the implications of virtualization and cloud deployment on license counts. We help clients right-size their Oracle footprint, avoid compliance exposure, and reduce support costs through consolidation and edition optimization.

Yes. We start with a health assessment — architecture review, performance baseline, backup verification, security posture, and licensing audit. From there we produce a remediation roadmap and transition into managed operations on an agreed timeline. Most transitions complete within 4–6 weeks.

Yes — this is a growing part of our practice. We deploy and operate pgvector, Pinecone, Weaviate, and Qdrant, design embedding pipelines, and architect the data layer for RAG and agentic AI workloads. We bridge the gap between traditional database operations and the data infrastructure that modern AI systems require.

We run a structured feasibility assessment — schema compatibility analysis, stored procedure and function inventory, application query pattern review, and a realistic effort estimate. We do not oversell migrations; some Oracle workloads are genuinely better left on Oracle. Where migration makes sense, we execute it with a phased approach that keeps production running throughout.

Ready to stabilize your data platform?

Start with a no-obligation health assessment. We will tell you exactly what we find and what it would take to fix it.

Request a database health assessment

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