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Data Platform Modernization Services
Geopits helps organisations move from legacy databases to modern, cloud-ready platforms. Structured assessments. Zero-downtime migration. End-to-end support from audit to go-live by certified migration experts.
Staying on Your Legacy Database Costs More Than Modernising It
Legacy databases are expensive to run, difficult to scale, and increasingly hard to secure. Licensing costs compound. Teams spend time on maintenance instead of what matters. And when the business needs real-time analytics or AI-ready infrastructure, the database is the first thing standing in the way.
Geopits takes ownership of the modernisation process end to end - assessment, roadmap, migration, validation, post-migration support and optimisation, all handled by the same team. No handoffs, no gaps.
Services Under Database Modernisation
Geopits handles version upgrades and platform re-engineering at the database engine level, improving performance and reducing the operational risk that comes with unsupported systems.
Cloud Database Migration
Moving databases from on-premises infrastructure to managed cloud platforms. Covers data migration, integration reconfiguration, cutover planning, and rollback controls. Supported on AWS, Azure, and Google Cloud.
Re-Platforming and Re-Architecture
Redesigning database architecture to address performance bottlenecks, scaling constraints, and high operational cost. Includes storage restructuring, indexing strategy, and availability reconfiguration for the target platform.
Open Source Conversion
Migration from commercial database engines to open source alternatives. Oracle to PostgreSQL and SQL Server to PostgreSQL are the most common paths. Schema conversion, query remediation, stored procedure rewriting, and driver compatibility are all in scope.
Modern Data Warehousing
Implementation of cloud-native data warehousing for analytics and reporting workloads. Covers architecture design, data pipeline setup, and integration with BI tools.
Database Automation and DevOps
Deployment of CI/CD pipelines for databases, automated backup and recovery, monitoring setup, and database change management workflows. Reduces manual administration overhead and improves release reliability.
What We Work With
Geopits works across the database engines, cloud platforms, and migration tools that are most common in enterprise environments.
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How a Modernisation Engagement Works
From legacy audit to modernized, cost-optimized operations. Here's how we move your data forward without disrupting the business.
Who We Are
“Geopits is not just a support vendor. We are a long-term data partner.”
We work alongside your team, not just as a vendor you call when things break, but as a partner invested in your success.
Happy Clients and counting
Databases being managed
Successful Database Migrations
DB Transactions per day
Why Teams Choose Geopits
Proactive support, predictable pricing, and certified expertise, no matter which platform your business runs on.
No Surprises Mid-Migration
Full environment audit before any migration path is agreed. Schema complexity, integration dependencies, and risk areas documented upfront. What is found in the audit stays in the audit, not the invoice.
Go Beyond Lift and Shift
Geopits works with teams past the migration itself. AI and ML readiness, GenAI adoption, and self-service analytics advisory so modernisation delivers business value, not just a cleaner database.
One Partner. No Gaps.
Oracle, SQL Server, MySQL, PostgreSQL, and MongoDB across AWS, Azure, and Google Cloud. Mixed environments and multi-database estates handled by one team, end to end.
No Surprise Downtime
Cutover plans are built around each workload's uptime requirements. Parallel runs, phased migrations, and rollback controls are standard. The business sets the tolerance. Geopits designs to it.
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Data Security Built In
Every phase operates under ISO 27001 and ISO 9001 standards. Data handling is documented and auditable throughout assessment, migration, and post-migration support.
Certified Across Every Platform and Cloud
AWS Certified Database Specialty, Microsoft Azure Database Administrator Associate, Google Cloud Professional Data Engineer, and MongoDB Certified DBA. The same team runs the assessment, executes the migration, and stays on after go-live.
Industries We Serve
Database requirements vary significantly by industry. The uptime threshold for a payment processing system is different from an edtech platform. The compliance surface for a healthcare application is different from a retail analytics stack. Our team has delivered managed DBA services across these verticals.
Banking, Financial Services & Insurance
Geopits manages, secures, and modernises the databases that power core banking, payments, claims, and fraud detection systems. Built for institutions where uptime, compliance and data accuracy are non-negotiable.
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EduTech
Geopits manages, secures and modernises the databases behind LMS platforms, student records and learning analytics. Built for edtech companies that need to scale learner numbers without putting student data or privacy at risk.
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Fintech
Geopits manages, secures, and scales the data infrastructure behind payments, lending, wallets, and embedded finance platforms. Built for fintech teams that need to move fast without putting transaction data or compliance at risk.
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HealthCare
Geopits manages, secures and modernises the databases behind EHR systems, patient records and clinical data. Built for hospitals and health systems where data accuracy, uptime and patient privacy are non-negotiable.
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Logistics
Geopits manages, secures and scales the databases behind booking engines, reservation systems, and loyalty programs. Built for logistics and hospitality platforms that need to handle peak-season traffic without booking data or payments at risk.
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Manufacturing
AI-enabled data management driving efficiency by automating data pipelines, enhancing quality, and accelerating analytics.
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Case Studies
From monitoring to modernization, Geopits provides expert database management services that enhance performance, strengthen security, and reduce operational costs.
How Geopits Migrated a 1TB SQL Server Database to PostgreSQL With Zero Data Loss
India's first customized in-store solutions company helping FMCG brands and retailers track, measure, and optimize retail execution through field audits, compliance, and sales intelligence.
How an AIA Leading Insurance Provider in Indonesia Successfully Migrated 65 SQL Server Instances and 300+ Databases to Azure SQL Managed Instance with Minimal Downtime - Powered by Geopits
Indonesian life insurance subsidiary of AIA Group, part of Asia's leading life and health insurance provider.
Modern Cloud Data Warehouse for a leading Indian financial inclusion group
A GCP-native warehouse that consolidates six source systems, decouples reporting from production, and delivers AI-assisted BI through a new client-facing Android app.
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Related Resources
Frequently Asked Questions
What is database modernisation?
Database modernisation is the process of moving legacy or constrained database environments to modern platforms that offer better performance, scalability, security, and support for analytics and AI workloads. It typically covers assessment, migration or engine conversion, schema remediation, and post-cutover validation.
How is database modernisation different from database migration?
Database migration moves data from one location or platform to another. Modernisation is broader, it may change the engine, service model, architecture, or operating model. A modernisation engagement usually includes a migration, but also covers schema conversion, query remediation, integration reconfiguration, and post-migration optimisation.
Does Geopits handle Oracle to PostgreSQL migration?
Yes. Oracle to PostgreSQL is one of the most common modernisation paths Geopits delivers. The engagement covers schema conversion, stored procedure remediation, data type mapping, driver compatibility, query rewrites, and validation before the Oracle environment is decommissioned.
Does Geopits handle SQL Server to PostgreSQL migration?
Yes. SQL Server to PostgreSQL migrations are supported, including schema conversion, T-SQL to PL/pgSQL remediation, integration reconfiguration, and functional testing before cutover.
Can database modernisation be done with zero downtime?
Zero downtime is a design goal, not a universal guarantee. Geopits assesses the uptime requirements of each workload during the audit phase and designs the cutover accordingly. For environments where downtime cannot be tolerated, a parallel-run period with ongoing replication is used until the new environment is fully validated.
How long does a modernisation project take?
Timeline depends on environment size and complexity. A single-database migration to a compatible cloud platform can complete in four to eight weeks. Complex engagements involving engine conversion and large schema remediation scope typically run twelve to twenty weeks. Geopits produces a timeline estimate as part of the audit phase.
What is FinOps for databases?
FinOps for databases involves right-sizing cloud database resources, identifying unused or over-provisioned capacity, and optimising storage and compute costs after migration. Geopits applies FinOps practices during the post-migration maintenance phase to ensure cloud database spend is aligned with actual workload demand.
Ready to Transform Your Data?
Geopits works alongside your team as a strategic partner, starting with stabilizing your current databases, then modernizing your data infrastructure, and ultimately helping you unlock the full potential of AI.
Happy Clients so far
Databases Managed
Successful Migrations
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