SQL or NoSQL, which should we use?

PostgreSQL/MySQL for structured data with complex queries. MongoDB for flexible schemas. Redis for caching. We often use multiple databases in a single system, each optimized for its workload.

How do you handle database scaling?

Read replicas, sharding, connection pooling, query optimization, and proper indexing. For extreme scale, we use distributed databases like CockroachDB or DynamoDB.

Database

PostgreSQL

A powerful, open source object-relational database system with over 35 years of active development.

Use Cases

Transactional databases

Our team has deep expertise building transactional databases with PostgreSQL.

Analytics

Our team has deep expertise building analytics with PostgreSQL.

Geospatial data

Our team has deep expertise building geospatial data with PostgreSQL.

JSON storage

Our team has deep expertise building json storage with PostgreSQL.

Questions? We've Got Answers

Your PostgreSQL JSON Questions, Answered.

Direct answers on what PostgreSQL JSONB actually covers and when a dedicated NoSQL store is still worth adding to the stack.

Featured Answer

What does PostgreSQL JSON support actually enable versus dedicated NoSQL databases?

PostgreSQL JSONB type provides three capabilities that compete directly with NoSQL stores. Schema flexibility for semi-structured data without abandoning relational features. Indexed queries against JSON fields with GIN indexes that perform comparably to dedicated NoSQL. Transactional consistency that NoSQL alternatives cannot provide for mixed structured and unstructured data. The trade-off is operational complexity since PostgreSQL still requires more careful schema design than schema-less alternatives. For most applications mixing structured and flexible data, PostgreSQL JSONB now eliminates the historical reason to introduce a separate NoSQL store.

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