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Data Warehouse Modernization Services
Geopits modernizes legacy data warehouses into cloud-ready analytics platforms built for scale and speed. From assessment to migration, every engagement moves data seamlessly toward measurable outcomes, not just a platform swap.
From Legacy Warehouse to Cloud-Ready Analytics Platform
Geopits modernizes data warehouses by rebuilding them on cloud-native platforms such as Snowflake, Databricks, Redshift, or BigQuery, replacing the architecture underneath rather than adding another layer on top of an ageing system. Legacy ETL pipelines get rebuilt into modern ELT, schemas get redesigned for the new platform, and the result is a warehouse built for real-time analytics and AI workloads instead of static, on-premises reporting.
Most organisations arrive here gradually. Query performance degrades as data volumes grow, reporting takes longer to reflect what's actually happening in the business, and AI initiatives stall because the underlying data isn't structured to support them. Data warehouse modernization solves that at the architecture level.
What's Included in Data Warehouse Modernization Services
Geopits assesses the existing warehouse, redesigns the ELT pipelines, and migrates to a modern cloud analytics platform, built around the reporting and AI workloads the old system can't keep up with.
Warehouse Assessment
Full audit of current schema, data volumes, query patterns, and performance bottlenecks.
Migration Strategy & Roadmap
Platform selection, phased migration plan, and risk assessment specific to the environment.
ELT Pipeline Redesign
Migration from legacy ETL processes to modern ELT architectures built for the target platform.
Cloud Platform Migration
Data and schema migration to Snowflake, Databricks, Redshift, or BigQuery.
Data Governance & Quality
Lineage tracking, access controls, and data quality rules carried over into the new environment.
Performance Validation
Query benchmarking and tuning post-migration to confirm performance gains.
Post-Migration Support
Ongoing monitoring and optimisation once the new warehouse is live.
Platforms & Technologies
How Geopits Approaches Warehouse Modernization
From breaking-point diagnosis to a rebuilt, benchmarked warehouse. Here's how Geopits gets you there in phases, not one big leap.
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.
Proven Migration Track Record
140+ successful migrations, with complexity scoring that catches risk before it becomes downtime.
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Full Lineage Tracking From Source to Warehouse
Data lineage traced across Databricks, AWS, Azure, and GCP — so every number in a report stays traceable back to its source.
Technology Partnerships That Matter
Deep implementation experience across Microsoft, MongoDB, and Databricks — not generic multi-cloud claims.
ISO-Certified Data Handling
ISO 27001 and ISO 9001 certified, built for regulated industries moving sensitive data.
Extensive Post-Migration Support
Monitoring and tuning continue after go-live, included in the engagement — not billed separately later.
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.
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.
How Geopits Synced Salesforce and A2Z Through a Databricks Medallion Architecture
Connecting communities through live events and integrated commerce platforms.
How Geopits helped Cyces cut data latency from 24 hours to under 1 minute with a real-time GCP pipeline
Engineering-first product studio specializing in data engineering and cloud operations for scaling tech companies.
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How Geopits helped a retail enterprise cut data processing time from 10 hours to 45 minutes with a unified Azure lakehouse
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Related Resources
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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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