Build custom database solutions with experts trusted by 1500+ companies.

Off-the-shelf database solutions impose rigid schemas and workflows that don't match complex business logic or data relationships. We build custom databases that adapt to your specific requirements, supporting unique data models and integration needs without compromising functionality.

Our engineers design schemas around your actual data model and encode business rules at the database layer through stored procedures. We tune access patterns to your specific query workload from the start. That foundation gives your engineering team a database they can build against confidently.

Early architecture decisions determine whether a database scales cleanly or becomes a bottleneck as data volumes grow. Most teams underestimate how much those initial choices constrain future development.

We start by matching architecture to the dominant workload type, which determines schema, storage engine, and partitioning approach. We define the indexing strategy and replication topology before implementation begins. Locking these decisions early prevents the schema rewrites and indexing overhauls that stall your team later.

Legacy platforms reach a point where the cost of staying outweighs the risk of moving. Aging infrastructure limits what engineering teams can build and creates security exposure that modern systems don't carry.

We scope and execute migrations with data integrity as the primary constraint. We define rollback procedures and cutover criteria before execution starts. After migration, your team ships on modern infrastructure without carrying the legacy platform's constraints forward.

On-premises databases tie engineering capacity to infrastructure management that doesn't move products forward. Provisioning and patching cycles absorb time that compounds across quarters.

Our engineers work across AWS, Azure, and Google Cloud, handling everything from initial configuration to production-readiness. High availability and automated failover are part of the deployment, whether we're building from scratch or stepping into a brownfield build. Our engineers help our team gets back the engineering hours that infrastructure management was consuming.

Applications serving users across multiple regions can't rely on a single database instance without introducing latency or availability risk. Geographic distribution requires consistency trade-offs that vary by workload and can't be resolved with a single default setting.

We architect distributed systems with consistency models matched to the use case. Our engineers understand the consistency trade-offs at play and bring that experience to your architecture, so your engineers get a distributed database that serves users across regions without sacrificing correctness where it counts.

Analytical queries running against a transactional database create contention and rarely meet performance expectations at scale. The two workload types require different storage design, access patterns, and optimization strategies.

We build data warehouses on Snowflake, Redshift, or BigQuery using dimensional models that reflect how your business actually reports. We build ETL pipelines that pull data from operational sources on schedules aligned to how your team actually consumes reporting. We deliver a reporting platform that your team can query heavily without degrading production performance.

Query degradation is easy to overlook early in development and difficult to reverse once data volumes grow and usage patterns solidify. By the time performance becomes visible to users, the root causes are often embedded deep in schema and indexing decisions.

Our engineers diagnose and resolve performance issues across the full database stack, not just at the query level. We validate every change under realistic load before it reaches production, so performance gains hold without requiring a full re-architecture.

Production databases require active oversight. Without it, replication lag widens, index fragmentation accumulates, and storage grows unchecked until a minor issue becomes an outage.

We set up monitoring and alerting that catches degradation early, before a minor issue compounds into an outage. That operational load shifts off your engineering team entirely.