PostgreSQL Database Development Company

What do PostgreSQL development services include?

PostgreSQL development is the database side of a product: modelling the tables, keys and constraints; writing the migrations that change them safely; the queries, views and PL/pgSQL functions the application calls; and the infrastructure underneath - replication, connection pooling, backups with point-in-time recovery, monitoring and access control.

A Miracuves engagement delivers that as files in your repository, not as knowledge in one engineer's head: numbered migrations, infrastructure-as-code for the cluster or the managed instance, the backup policy, dashboards built on pg_stat_statements, and a runbook for restoring, failing over and upgrading. Where the application needs changes too, the same team updates the ORM models or API code that talks to the database.

What does PostgreSQL consulting find in an existing database?

Most consulting work starts with a database that has slowed down or been outgrown. The audit reads the running database itself rather than relying on what the team remembers:

• The statements that take the most total time, from pg_stat_statements, with their plans.
• Indexes that are never used, and sequential scans on large tables that need one.
• Table and index bloat, and whether autovacuum keeps up with the write rate.
• Connection counts against max_connections, and whether a pooler sits in front.
• Replication lag, backup age and - most often missing - the date of the last tested restore.
• Roles and privileges: which applications log in as a superuser.

Should PostgreSQL run on RDS, Aurora or your own servers?

Managed PostgreSQL - Amazon RDS or Aurora, Google Cloud SQL, Azure Database for PostgreSQL - takes backups, patching and failover off your team, at a higher price per unit of compute and with a fixed list of allowed extensions and settings. Self-hosting on virtual machines or bare metal gives full control, any extension and lower raw cost, but someone owns replication with Patroni, backups with pgBackRest and every major-version upgrade.

For most startups we recommend a managed instance first. Aurora suits read-heavy products that need many replicas and quick failover; plain RDS is often cheaper for a steady, modest workload. Either way the cloud account and its bill are yours from day one, separate from our fee. The infrastructure side is covered on our AWS development page.

When is PostgreSQL the wrong choice?

PostgreSQL handles relational, JSON, geospatial and vector data in one engine, but it is not always the best fit. We say so before kickoff when:

• Your team and hosting already run MySQL well and the workload is simple reads and writes: staying on MySQL costs nothing to change.
• The records are self-contained documents whose shape changes every sprint and are rarely joined: MongoDB fits the data as it is.
• A mobile app needs offline sync, push and sign-in more than it needs SQL: Firebase provides those as managed services.
• Append-only event data arrives faster than a single primary can write it: a dedicated time-series or wide-column store may cost less, with PostgreSQL kept for the core records.

Can PostgreSQL power real-time applications?

Yes, within limits worth knowing. LISTEN/NOTIFY lets the database tell an application that a row changed, which is enough for live dashboards, order status and chat at modest traffic - but it needs a direct or session-pooled connection, not PgBouncer in transaction mode. Logical replication streams every insert, update and delete to another database or to a change-data-capture tool such as Debezium, which keeps search indexes, caches and event pipelines current without polling.

What PostgreSQL should not do is hold open connections to thousands of phones. Miracuves puts a WebSocket service in front, written in the backend language your product already uses, keeps the database as the source of truth, and sizes the pooler so real-time traffic cannot exhaust connections.

How do you migrate from MySQL or Oracle to PostgreSQL without downtime?

In stages, with both databases running side by side until the numbers match. The schema is translated first - data types, auto-increment columns to identity columns, stored procedures to PL/pgSQL - and the application's queries are tested against it. The bulk data then moves with pgloader for MySQL or ora2pg for Oracle, and changes made during the copy are replayed through change-data-capture.

Cutover is a short, rehearsed window: writes pause, the last changes apply, row counts and checksums are compared table by table, and the application switches its connection string. The old database stays read-only until you sign off, so rolling back is one configuration change. Most migrations take 1-3 weeks, depending on data volume and how much downtime is acceptable.

Should you hire dedicated PostgreSQL developers or a development company?

A dedicated in-house PostgreSQL developer makes sense when the database is the core of your product, there is a full-time workload, and someone senior can review their migrations. For most startups the need is uneven: an intense few weeks of schema design and setup, then a few hours a week of tuning, upgrades and incident response.

Miracuves covers both shapes. A defined piece of work - a new schema, a high-availability cluster, a migration - is priced as a project. Continuing care runs as the Managed Database Services retainer from $2,299/month, with a dedicated team you speak to directly and 2 weeks notice to cancel. Either way, the credentials, the cloud account and every script stay with you.