Verified client
“ExprtAI delivered a production AI system in weeks, not quarters.”
Sarah Chen
CTO · Nova
Database Integration
The right database for each workload, designed, migrated and connected without downtime. Relational for transactions, NoSQL for scale, vector for AI, all documented so your team can run it.
99.9%
Uptime target
Zero
Data-loss migrations
SQL · NoSQL · Vector
Engines we run in production
100%
Schemas documented and handed over
- Reply within one business day
- NDA on request
- Senior partner on every call
- 100% IP ownership
- No-obligation estimate
What we do
Data infrastructure your product can grow on
Design
Schema design and modelling
Normalised where it matters, denormalised where it pays. Schemas designed for the queries you will actually run.
- Entity modelling
- Indexing strategy
- Row-level security
- Migration tooling
Managed
Supabase and Firebase setup
Production-ready managed backends with auth, storage, realtime and policies configured properly from day one.
- Auth and RLS policies
- Storage and CDN
- Realtime channels
- Edge functions
Migration
Migrations and ETL pipelines
Move between engines or providers with staged, reversible migrations and a dry run before any cut-over.
- Zero-downtime cut-over
- Data validation
- Scheduled ETL
- Rollback plans
AI
Vector databases for AI
pgvector, Pinecone or Qdrant for retrieval workloads, with embedding pipelines and hybrid search tuned on your data.
- Embedding pipelines
- Hybrid search
- Chunking strategy
- Retrieval evaluation
Performance
Caching and query optimisation
Redis caching, query plans and connection pooling that bring p95 latency down and keep it there under load.
- Redis caching layers
- Query plan analysis
- Connection pooling
- Load testing
Operations
Backups, monitoring and security
Point-in-time recovery, alerting and access controls, tested rather than assumed.
- PITR backups
- Restore drills
- Alerting and dashboards
- Least-privilege access
How it works
From audit to a documented, monitored platform
01
Audit
Review current schemas, query patterns, growth and pain points with your engineers.
02
Design
Target architecture, engine choice and a migration plan with explicit rollback points.
03
Migrate and integrate
Staged migration with validation, application integration and performance testing.
04
Monitor and hand over
Backups, alerting and documentation in place, then knowledge transfer to your team.
Tech stack
Tools we run in production
Proven, well-supported technology chosen for your requirements, never for novelty.
PostgreSQL
Supabase
MongoDB
Redis
Firebase
Prismapgvector
AWS
DockerClient outcomes
What it is like to work with us
Feedback from founders, CTOs and product leads who shipped with ExprtAI.
Verified client
“From discovery to launch, they felt like an extension of our team.”
Marcus Webb
Founder · Helix Care
Verified client
“Beautiful UX, rock-solid backend, and clear communication.”
Elena Ruiz
VP Product · Orbit
As featured in
Related work
Case studies from similar engagements
FAQ
Questions about database integration
Straight answers to what clients ask before an engagement starts. Anything else, we are happy to walk through on a call.
Ask us directlyLet's get your data layer right
Book a consultation and we will review your current setup and tell you where the risks and quick wins are.