Data & Databases
Data that's fast, correct, and doesn't fall over. We design schemas and tune the queries that slow you down, pick the right store for the job across SQL and NoSQL, and build the queues and pipelines that move it reliably at scale.
Signs you might need this
- Queries that were fast last year now crawl or time out
- The database is your scaling ceiling, and you're scaling it by spending more
- Search is slow, irrelevant, or both
- Data is duplicated or drifting between systems
- You need events or pipelines between services and they're brittle or DIY
What it is
This is the layer that stores and moves your data and keeps it fast and correct as it grows: schema design, query performance, caching, search, and the queues and pipelines that shuttle data between services.
What it isn't
It isn’t a rip-and-replace to the trendiest database. And it isn’t just adding indexes and hoping, we diagnose the actual bottleneck before touching anything, because the wrong fix can quietly make it worse.
How we work on it
We start by finding where the time actually goes, slow queries, missing or wrong indexes, hot rows, N+1s, and fix the schema and queries before reaching for bigger hardware. We bring in Redis for caching, Elasticsearch for search that’s actually relevant, and event streaming (Kafka, RabbitMQ) where services need to talk reliably.
Across PostgreSQL, MySQL, and MongoDB, the aim is data that stays fast and correct as you grow, not just a bigger, more expensive instance papering over the real problem.
The specifics
What's included
- Schema design and query optimization
- PostgreSQL, MySQL, MongoDB, and Redis
- Elasticsearch and search relevance
- Event streaming with Kafka and RabbitMQ
FAQ
Common questions
My queries are slow. Can you help?
Yes. We profile the queries and schema that slow you down and tune indexes, structure, and access patterns, often the highest-leverage fix before you add hardware.
SQL or NoSQL, which should we use?
Whichever fits the data and access pattern. We work across PostgreSQL, MySQL, MongoDB, Redis, and Elasticsearch and pick per job, not per fashion.
Can you move data reliably between systems?
Yes. We build the queues and pipelines, with Kafka and RabbitMQ, that move data at scale without losing or duplicating it.
Ready when you are
Let's talk about Data & Databases
Not sure where you stand? Tell us what you're seeing and we'll come back with a plan.