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Database architecture

Turn scattered spreadsheets and legacy databases into one well-designed source of truth that scales with demand and keeps reporting fast.

Overview

Every department had the data, and every department had a different number.

Years of spreadsheets, one-off databases and duplicate records meant reports took nights to run and still didn't agree. Sumato redesigns the data foundation: clean schemas, a single source of truth and the performance to report in real time.

  • One source of truth

    Duplicate and conflicting records are merged into one consistent model.

  • Reports in seconds

    Indexing, partitioning and query tuning turn overnight jobs into live views.

  • Built to scale

    Designs that handle state-scale volumes and peak-day traffic without rework.

  • Safe migration

    Legacy data moves with validation, reconciliation and zero-loss checks.

Capabilities

The data foundation critical systems depend on

Architecture, migration and performance work for transactional systems and reporting alike.

  • Schema design and normalization

    Models that reflect how your organization really works and stay consistent as it changes.

  • Legacy data migration

    Moves data from spreadsheets, Access, FoxPro and older RDBMS with full reconciliation.

  • Performance engineering

    Query tuning, indexing, partitioning and caching for heavy reporting loads.

  • Master data management

    Deduplicates people, places and entities across systems with clear golden records.

  • High availability

    Replication, failover and point-in-time recovery for systems that cannot go down.

  • Reporting layer

    Analytical views and warehouses that feed dashboards without slowing operations.

How it works

How a data foundation is rebuilt

  1. 01

    Assess

    Every source, table and report is mapped, along with the problems people feel today.

  2. 02

    Design

    A target schema and architecture are agreed with the people who own the data.

  3. 03

    Migrate and validate

    Data moves in stages, with automated checks reconciling every record.

  4. 04

    Tune and hand over

    Performance is measured against real workloads, and runbooks are handed to your team.

Use cases

Where it makes a difference

  • Scheme and beneficiary data

    Unify beneficiary records across schemes to remove duplicates and leakage.

    • Cross-scheme deduplication
    • District-level rollups
    • Real-time progress reporting
  • Enterprise systems of record

    Give ERP, CRM and operations one consistent view of customers and assets.

    • Customer master data
    • Inventory and asset records
    • Finance reconciliation
  • Institutional records

    Bring decades of student, patient or staff records into one reliable system.

    • Records digitization
    • Historical data migration
    • Secure archival

Results

Measurable results

  • 10x

    faster report generation after schema redesign

  • Zero

    record loss across reconciled migrations

  • Live

    dashboards replacing overnight batch reports

Indicative figures from Sumato deployments. Outcomes depend on data, scale and adoption.

FAQ

Frequently asked questions

Do we need to replace our existing applications?

Not necessarily. Many projects re-architect the data layer behind existing applications and change only what is needed.

Which databases do you work with?

PostgreSQL, MySQL, Microsoft SQL Server, Oracle and MongoDB, as well as cloud-managed versions of each.

How is migration risk managed?

Migrations run in stages, with automated row-level reconciliation, parallel runs and a tested rollback plan.

Will our team be able to maintain it?

Yes. Every engagement ends with documentation, runbooks and hands-on training for your team.

Take the next step

Tell us about the problem in front of you. A Sumato solution architect will walk you through a live demo and an honest view of what it takes to solve it.