Service · Database integration

Reliable databases built for scale

We design, migrate and integrate databases for web, mobile and SaaS products. Secure APIs, transparent migrations, performance tuning.

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Technologies

We pick the database for the task, not the other way around

Relational, document and in-memory engines. Self-hosted or serverless — driven by your load and budget.

PostgreSQL · Neon · Supabase

Relational database for most use cases: transactions, JSONB, extensions, full-text search and geo data.

MySQL · MariaDB

Classic relational databases for CMS, ERP and legacy systems with a large integration ecosystem.

MongoDB · Firestore

Document stores for flexible schemas, fast prototypes and content-heavy applications.

Redis · Upstash

Caching, job queues, rate limiting, sessions and pub/sub at millisecond latency.

AWS Aurora · DynamoDB

Scalable cloud databases with serverless billing and built-in fault tolerance.

OpenSearch · Algolia

Search engines and full-text search for catalogs, marketplaces and large reference data.

Integration stages

A transparent path from audit to production

Audit & design

We review current data and load, pick the right engine and design the schema for real-world scenarios.

Data migration

We prepare migration scripts and zero-downtime cutover with backups and backward compatibility.

API & optimization

We ship APIs, indexes, caching and replication. We profile queries and remove bottlenecks.

Monitoring & support

We set up alerts, backups and autoscaling. We maintain the database after release and grow the product.

Solution types

Relational databases

PostgreSQL and MySQL for finance, bookings and CRM.

Document & NoSQL

MongoDB and DynamoDB for content and flexible schemas.

Cache & queues

Redis and Upstash for speed and background jobs.

Analytics & DWH

ClickHouse and BigQuery for reports and BI dashboards.

Related practices

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