Why Postgres

[jirhiker]

Water Data Discovery team recommends using Postgres.

Engineering team wants to use a modern open source db.
Postgres has the postgis extension that make postgres a powerful geospatial capable db.

AI overview
PostgreSQL is a powerful, open-source relational database known for its robustness, feature richness, and adherence to SQL standards. It's a popular choice for many applications due to its flexibility, data integrity features, and strong community support.
Here's a more detailed look at why PostgreSQL is a good choice:

1. Data Integrity and Reliability:
   ACID Compliance:
   PostgreSQL adheres to ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring reliable transaction processing and data consistency.
   Constraints:
   PostgreSQL supports various constraints (like primary keys, foreign keys, unique constraints, and check constraints) to enforce data integrity and prevent invalid data from being stored.
   Regular Backups and Replication:
   It provides robust mechanisms for backups and replication, ensuring data safety and high availability.
2. Feature Richness:
   Advanced Data Types:
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   PostgreSQL supports a wide range of data types, including JSON, XML, geometric types, and custom data types, making it suitable for various applications.
   Indexing:
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   It offers various indexing options, including B-trees, hash indexes, and GIN indexes, for efficient data retrieval.
   Extensibility:
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   PostgreSQL is highly extensible through extensions, allowing users to add custom functionality, data types, and indexing methods.
   Full-Text Search:
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   PostgreSQL includes powerful full-text search capabilities, making it suitable for applications requiring text-based search functionality.
   Window Functions:
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   It supports window functions, which are helpful for complex analytical queries.
3. SQL Compliance and Flexibility:
   SQL Standards:
   PostgreSQL is known for its adherence to SQL standards, making it a reliable choice for applications requiring SQL compliance.
   Flexibility:
   It allows developers to store different types of data (relational, semi-structured, etc.) in a single database, simplifying application development.
   Custom Functions:
   Developers can create custom functions in various languages (like PL/pgSQL, Python, etc.) to extend PostgreSQL's functionality.
4. Open Source and Community:
   Open Source:
   PostgreSQL is open-source, meaning it's free to use and distribute, and its source code is publicly available.
   Large Community:
   PostgreSQL has a large and active community that provides support, contributes to development, and creates extensions.
   No Vendor Lock-in:
   Being open-source, PostgreSQL avoids vendor lock-in, allowing users to choose their preferred hosting provider and tools.
5. Performance and Scalability:
   Parallel Query Execution: PostgreSQL can parallelize query execution, improving performance for complex queries.
   Multi-Version Concurrency Control (MVCC): PostgreSQL uses MVCC to handle concurrent transactions efficiently.
   Scalability: It can be scaled horizontally through techniques like partitioning and replication, making it suitable for handling large datasets and high transaction volumes.
   In summary, PostgreSQL is a versatile and powerful database that excels in data integrity, SQL compliance, extensibility, and performance. Its open-source nature and large community make it a popular choice for a wide range of applications, from small projects to large-scale enterprise systems

[jirhiker]

We are paying $380 a month for SQL Server licensing. Postgres is free