We design and tune PostgreSQL databases that keep your data accurate, fast, and secure. From schema design to query optimization, we make your data layer a strength rather than a bottleneck.
Customer Reviews
I was astonished that, in such a short period of time, something that other companies had taken months to understand, this company was able to execute. Since then, we have never looked anywhere else. I would never consider another company. This is how much we believe in them.
The other agencies we looked at, frankly, wanted to tell us how great they were. Sembit instead asked a lot of probing questions and provided the kind of consultation that really made us comfortable in hiring them.
It's been excellent every step of the way. The initial conversations were excellent — we had an instant human connection. In addition to being professional, they also had a human touch that's irreplicable.
I've really loved working with them. Sembit always delivers what they say they're going to deliver, in the time they say they'll deliver it. Whenever we have a deadline for a task delivery, the team gives us detailed and frequent updates about their progress. It's been a great partnership.
Sembit's team really took on the mindset of our business which resulted in a better product with thoughtful decisions from developers. We have been able to have healthy discussions about the pros and cons of a design choices which ultimately makes a better product in the long run.
Sembit has over-delivered on their promises at every step of the process. They've come in ahead of schedule and below budget, and they let us know if we are asking for too much. They are clear communicators, and it made a world of difference for our company.
Route Optimization and High-Volume Data Processing
One interesting PostgreSQL project we worked on involved building a route optimization system for a transport company.
The challenge was to determine the most efficient way to route heavily loaded trucks. This is not a simple Google Maps problem. These routes involve private roads, changing terrain, and vehicle constraints that standard mapping tools do not support.
We built a system that:
PostgreSQL handled large-scale data ingestion and complex query logic without performance issues. We also implemented cost-efficient deployment using NeonDB (serverless Postgres).
Metadata-Driven System at Scale
Another PostgreSQL implementation was a complex data-driven system used to manage large-scale structured workflows.
The system required the ability to dynamically generate and store custom workflows, questionnaires, and responses across thousands of users. Instead of using rigid table structures, we implemented a metadata-driven approach where each question was stored as an individual record. This allowed the system to support hundreds of custom configurations and process tens of thousands of responses.
This system contained:
This type of architecture dramatically increases flexibility, but also increases complexity at the database level. PostgreSQL handled the scale and performance requirements effectively.
Low-Latency Global Database Performance
In another project, we built a system for a dealer network serving regions in Mexico and the Caribbean.
The key challenge was performance. Users needed fast access to data across geographically distributed regions with limited infrastructure.
We created a system with
The result was a highly responsive system that performed well even in regions where infrastructure constraints are common.
These are the situations where teams most often bring us in for PostgreSQL work, from designing a new schema to tuning slow queries, migrating off costly licenses, and stabilizing a database that has outgrown its original design.
Many modern applications are built on PostgreSQL because it is free, flexible, and highly capable. We design data models that support long-term scalability. This includes building systems of record that integrate with APIs, front-end applications, and external services. PostgreSQL is often the foundation of new web and mobile apps.
Oregon-Based PostgreSQL Development Team
Projects completed
Years in business
Average Years Experience per Employee
Our Oregon-based team has deep experience designing and managing database systems that support real-world applications. We do not treat PostgreSQL as an isolated technology. Instead, we view it as the foundation of a larger system that includes APIs, integrations, and front-end applications.
We work in real time with clients to solve complex data problems. Whether that means designing a schema from scratch, migrating an existing database, or optimizing performance under load, we bring practical experience across many industries.
We also understand modern PostgreSQL infrastructure. This includes serverless deployments like NeonDB, cloud-hosted databases, and hybrid architectures. We build systems that are scalable, cost-efficient, and easy to maintain long-term.
Tell us more about your custom PostgreSQL development needs. We can help.
Get expert guidance from Nathan Theophanes (Sembit's President) and Shaun Davidson (Sembit's VP) regarding your PostgreSQL project. We'll be in touch in hours, not days.
We design database schemas that define how data is structured, related, and accessed. This includes tables, relationships, indexing strategies, and normalization. A strong schema is critical for performance and scalability. PostgreSQL supports complex data models that grow with the application.
Many applications require ingesting large amounts of data. Due to the MVCC architecture of Postgres, using inserts rather than updates during bulk loads yields substantial speed benefits. This includes GPS data, event logs, user activity, and transactional records. We build systems that can handle thousands or millions of records efficiently. PostgreSQL performs well under these conditions when properly configured.
Some applications require flexible data structures rather than rigid schemas. Where appropriate, we build metadata-driven systems where data is stored in a more dynamic format. This allows for customizable workflows, forms, and configurations. These systems are more complex but offer significantly greater flexibility.
Performance depends heavily on how queries are written and how data is indexed. We optimize queries to ensure fast response times even with large datasets. This includes designing indexes, restructuring queries, and improving execution plans.
We deploy PostgreSQL on modern cloud platforms, including serverless options like NeonDB. These systems automatically scale based on usage. This reduces operational overhead and ensures cost efficiency. Cloud-native PostgreSQL is a major advantage for modern applications.
We connect PostgreSQL databases to external systems such as CRMs, ERPs, and third-party APIs. This allows data to flow seamlessly across platforms. Integration is often a core requirement for modern applications. PostgreSQL serves as a central data hub.
FAQ: PostgreSQL Development
It depends on your goals, but cost is a major driver. PostgreSQL is free and avoids licensing fees that scale with usage. It also has strong feature parity with many enterprise databases. We can help evaluate whether migration makes sense for your situation.
Serverless PostgreSQL is ideal when usage varies significantly over time. It allows you to scale up during high demand and scale down during low usage. This reduces costs and simplifies infrastructure management. It is a good option for many applications.
Yes. PostgreSQL is designed to handle large-scale data and complex queries. With proper schema design and indexing, it performs extremely well. Performance depends on implementation quality.
Yes. We can analyze the schema, understand the relationships, and document how the system works. From there, we can stabilize performance and make improvements.
Where a relational database is appropriate, PostgreSQL is the market leader. It is flexible, reliable, and widely supported. We evaluate your specific use case before recommending a database technology.
