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Everything you want to know explained clearly
PostgreSQL, MySQL, SQL Server, and MongoDB, covering both relational and NoSQL workloads. We also work with the cloud-managed versions of these on AWS, Azure, and Google Cloud, and with warehouses like Snowflake when analytics needs outgrow your production database.
With a performance audit. We look at slow queries, execution plans, indexing, schema design, and load patterns to find the actual bottleneck, which is often a handful of queries or missing indexes rather than hardware. You get a prioritized fix list, and we can implement it or hand it to your team.
Yes, with planning. We design the migration, clean inconsistent data first, rehearse the process against a copy of production, and run a cutover that keeps your application online. Every migration has a tested rollback plan, so a problem mid-cutover doesn't turn into data loss.
Yes. Our engineers handle backups with tested recovery procedures, monitoring and alerting, security patching, and access control. You can engage us for administration alone or combine it with development work through staff augmentation or a defined service scope.
It depends on your data and how it's accessed. Relational databases like PostgreSQL fit structured data where integrity and transactions matter, such as financial records. Document stores like MongoDB fit flexible or fast-changing schemas. Many products use both, and we design the schema around how your application actually reads and writes data.
