PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its reliability, extensibility, and support for advanced data types.
What is PostgreSQL?
PostgreSQL is an open-source object-relational database management system that stores data in tables and links them through relationships, just like MySQL. What distinguishes PostgreSQL is its more extensive feature set: native JSON/JSONB support, complex data types, materialized views, window functions, and the ability to create custom types, functions, and extensions. PostgreSQL follows the SQL standard more closely than most other databases and offers full ACID compliance, guaranteeing that transactions are processed reliably and consistently.
How does PostgreSQL work?
PostgreSQL works as a client-server system where the database server processes queries sent by applications via a network protocol. It uses an advanced Multi-Version Concurrency Control (MVCC) system, allowing multiple users to read and write data simultaneously without blocking each other. PostgreSQL's query planner analyzes each query and automatically chooses the most efficient execution plan based on table statistics and available indexes. Extensions like pgvector (for AI embeddings), PostGIS (for geographic data), and pg_trgm (for fuzzy search) extend functionality without compromising core stability.
Example
Wabber's AI/LLM cluster uses PostgreSQL with the pgvector extension as a vector database. When a customer asks a question to the AI chatbot, the vector embeddings of the question are compared with stored embeddings in PostgreSQL to find the most relevant documents. Simultaneously, the same PostgreSQL database stores structured customer data, conversation history, and configuration settings in regular tables. By combining everything in one database, vectors and structured data, the architecture becomes simpler and synchronization more reliable.
Why is PostgreSQL important?
PostgreSQL is important for organizations that need more than a standard database. The combination of SQL compliance, advanced data types, extension capabilities, and extreme reliability makes it the favorite database for demanding applications. For Wabber, PostgreSQL is indispensable in our AI solutions: the pgvector extension makes it possible to store and search vector embeddings directly in the database, which forms the core of our RAG pipeline. PostgreSQL grows with the project's demands, from a simple application database to a complete AI platform.
Related solutions
Frequently asked questions
When do you choose PostgreSQL over MySQL?
Choose PostgreSQL when your project requires complex queries, advanced data types (JSON, arrays, geometry), many concurrent write operations, or strict ACID compliance. PostgreSQL is also the better choice for AI applications thanks to the pgvector extension. MySQL is faster for simple read-heavy workloads and has a lower learning curve. Wabber advises based on specific project requirements.
Does Wabber use PostgreSQL as a vector database?
Yes, Wabber uses PostgreSQL with the pgvector extension as a vector database in our AI/LLM cluster. This allows us to store and search vector embeddings using standard SQL queries, combined with structured business data in the same database. This is the foundation of our RAG pipeline through which AI chatbots generate answers based on company-specific documentation.
Is PostgreSQL harder than MySQL?
PostgreSQL has a steeper learning curve than MySQL due to its more extensive feature set and stricter SQL compliance. For experienced developers, however, the difference is minimal. PostgreSQL's advanced capabilities pay off in more complex projects. Wabber's development team has extensive experience with both databases and chooses the most appropriate solution per project.
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