NEGEN

Services

Database Engineering & Scaling

Data that stays fast, consistent and recoverable at scale. We tune, scale, replicate and migrate the databases that enterprises run on, so data stays fast at peak load and recoverable when something goes wrong.

Discuss your project

When data outgrows its structure

Databases are usually designed for the business as it was, not as it became. As volumes grow, queries that took milliseconds start taking seconds, a single primary server becomes a single point of failure, and nightly jobs no longer finish before morning.

Backups exist, but nobody has restored one recently. Copies of the same data live in several systems and disagree with each other. The database has become the bottleneck for every new initiative.

Deliberate data architecture

We begin with evidence: query plans, workload patterns and growth projections. From there we choose the right structure for the next stage of growth, whether that is indexing and query redesign, read replicas, partitioning or a sharding strategy built around your access patterns.

High availability is designed and tested, not assumed. We set up replication and automated failover, rehearse migrations against production-sized data, introduce data contracts between systems and run regular restore drills so recovery is a practiced procedure.

Capabilities

What we deliver

  • Performance tuning

    Query, index and configuration optimization based on real workload analysis.

  • Sharding and partitioning

    Horizontal scaling strategies designed around how your data is actually read and written.

  • High availability and replication

    Replica topologies and automated failover that keep services available through node and zone failures.

  • Database migration and upgrades

    Version upgrades and platform moves, rehearsed end to end with verified data and planned cutover windows.

  • Data platform consolidation

    Change-data-capture and canonical models that bring siloed data together without disrupting source systems.

  • Backup, recovery and DR

    Backup policies, point-in-time recovery and disaster-recovery runbooks that are tested on a schedule.

Technology

Technologies we work with

  • PostgreSQL
  • MySQL
  • Oracle Database
  • Microsoft SQL Server
  • MongoDB
  • Redis
  • Apache Kafka
  • Debezium

Engagement

How an engagement runs

  • 1. Discover

    We profile workloads, growth trends, failure history and recovery capability across your data estate.

  • 2. Design

    We define the scaling, availability and recovery architecture, with measurable targets for each.

  • 3. Build & Integrate

    We implement changes incrementally, verifying performance and data integrity at every step.

  • 4. Run & Support

    We monitor capacity and performance, run restore drills and plan the next stage of growth ahead of need.

Industries

Where this matters most

FAQ

Frequently asked questions

When does a database need sharding?

Later than most teams think. Indexing, query design, caching and read replicas solve many scaling problems at lower cost. We recommend sharding when write volume or data size genuinely exceeds what a well-tuned single primary can handle.

How do you migrate a database with minimal disruption?

We use replication or change-data-capture to keep the new database in sync, verify data continuously, rehearse the cutover and switch over in a short, planned window with a tested way back.

Which databases do you support?

PostgreSQL, MySQL, Oracle, SQL Server, MongoDB and Redis, along with streaming platforms such as Kafka for moving data between them.

How do you handle sensitive data?

We work within your access controls, use masked or synthetic data in non-production environments wherever possible, and follow your security and compliance policies throughout.

Bring order to your most critical systems

Talk directly with our founders about your cloud, data or integration challenge. We reply within one business day.

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